Squealer dealers: the market for information in federal drug trafficking prosecutions.
Nutting, Andrew W.
Never rat on your friends and always keep your mouth shut.
Jimmy Conway, Goodfellas
Citing his "invaluable" aid in the war against the Mafia,
a Federal judge yesterday rewarded a once-powerful mob figure who became
a major Government informer by sentencing him to just five years in
prison, despite his admitted involvement in 19 murders.
The New York Times, September 27, 19941
I. INTRODUCTION
Since the seminal theoretical work of Becker (1968), the economics
of crime has developed an extensive empirical literature. (2) This
article adds to that literature by studying markets for information in
federal prosecutions of drug trafficking conspiracies. In these markets,
law enforcement demands information that can help prosecute and imprison
suspected drug traffickers, while other drug traffickers supply the
information. (3) The price over which demanders and suppliers higgle is
the size of an informer's sentence reduction. (4)
Mustard (2001), using federal sentencing data, found that different
demographic groups have different rates--relative quantities--of
providing "substantial assistance" (the federal legal term
meaning "information") against other defendants. (5) This
article adds to Mustard (2001) by using federal sentencing of convicted
drug traffickers to uncover whether different demographic groups have
different relative prices for their information, i.e., whether different
groups receive larger sentence reductions (higher prices) or smaller
sentence reductions (lower prices) when providing substantial
assistance. Then, in a simple manner similar to well-known examinations
of the returns to education in the 1970s and 1980s (Levy and Mumane
1992; Murphy and Welch 1989), price and quantity determine whether
certain groups experience different relative demand or relative supply
for their testimony. Groups experiencing high relative demand have their
information highly sought by law enforcement, and therefore have high
rates (quantities) of providing substantial assistance and large
sentence reductions (prices) when doing so. Those with low relative
demand have low quantities and low prices. Groups with high relative
supply of substantial assistance have high quantities but low prices,
while those with low relative supply have low quantities and high
prices.
This article further adds to the literature by going beyond
demographic factors and examining what criminality-related
factors--e.g., criminal history, role in a criminal conspiracy, and type
of drug dealt--affect supply and demand for information, and by
examining supply and demand conditional on expected prison sentence.
Results show that women and better-educated defendants experience
high relative demand for information while blacks, Hispanics, and
non-U.S. citizens experience low relative demand. Groups facing long
prison sentences-- dealers of harder drugs, those with long criminal
histories, and high-level dealers--have high relative supply, while
those facing short sentences--primarily low-level dealers--have low
relative supply. When controlling for expected sentence, crack dealers,
high-level dealers, and dealers with long criminal histories experience
low demand. Race-specific estimations show that women of all races
experience high relative demand for information.
The rest of this article is organized as follows. Section II
discusses the federal criminal-justice system, emphasizing reforms
established by the Sentencing Reform Act of 1984 and the Anti-Drug Abuse
Act of 1986. Section III discusses the data and provides summary
statistics. Section IV discusses my empirical methodology. Section V
shows results and Section VI attempts to explain them. Section VII
discusses results from race-specific estimations and Section VIII
concludes.
II. FEDERAL CRIMINAL SENTENCING
Through most of the 1980s and before, federal judges possessed
near-total discretion in determining sentences for criminals convicted
of violating federal statutes (e.g., Anderson, Kling, and Stith 1999;
Stith and Cabranes 1998). This system was altered in the 1980s by two
pieces of legislation. The Sentencing Reform Act of 1984 abolished
parole for federal crimes committed after November 1, 1987 (though it
allowed up to 15% of a sentence to be waived for inmates exhibiting good
behavior while in custody) and gave much control over criminal
sentencing to the newly established United States Sentencing Commission
(USSC). (6) The USSC established a guideline system that determined a
defendant's criminal sentence according to two factors: offense
severity and past criminal history. The system remains to this day.
Offense severity is captured by the offense level or final offense
level, a score between 1 and 43. (7) More severe offenses have higher
offense levels. The offense level is determined by three separate
considerations: the base offense level, adjustments, and specific
offense characteristics. The base offense level is an offense level that
corresponds with the specific crime of which a defendant has been
convicted beyond a reasonable doubt. (8) In drug trafficking crimes, the
base offense level is related to the amount of drugs a defendant
conspired to deal. Adjustments are crime-related characteristics
determined by a judge at the sentencing hearing. Categories of
adjustments include whether the defendant obstructed justice (by, for
example, lying to a judge or attempting to escape from custody) and
whether the defendant accepted responsibility for his crime. The
concatenation of separate counts of conviction into a "combined
adjusted offense level"--designed to ensure that defendants do not
receive excessive sentences after being convicted of multiple similar
counts--also falls under adjustments. (9) Specific offense
characteristics are similar to adjustments, but can only apply to
specific crimes.
One adjustment category, which plays an important role in this
article, details the defendant's role in a conspiracy. The
guidelines state that a defendant who "was a minimal participant in
any criminal activity" receives a -4 adjustment to his offense
level; a defendant who "was a minor participant" receives a -2
adjustment; and a defendant who played a role "falling
between" minimal and minor (hereafter referred to as
"Minimal/Minor") receives a -3 adjustment. Adjustments for
high-level conspirators are more complicated. According to USSC
[section]3.B.l:
(a) If the defendant was an organizer or leader of a criminal
activity that involved five or more participants or was otherwise
extensive, increase [offense level] by 4 levels.
(b) if the defendant was a manager or supervisor (but not an
organizer or leader) and the criminal activity involved five or more
participants or was otherwise extensive, increase by 3 levels.
(c) If the defendant was an organizer, leader, manager, or
supervisor in any criminal activity other than that described in (a) or
(b), increase by 2 levels.
[Emphasis in original.] The +4 role adjustment (hereafter
"Aggravating +4") thus represents leaders of large drug
trafficking conspiracies and Aggravating +3 represents their
lieutenants. Aggravating +2 represents leaders and lieutenants of
smaller drug trafficking conspiracies.
An offender's final offense level is the sum of his base
offense level, specific offense characteristics, and adjustments. A
final offense level of less than 1 is amended to 1; one of greater than
43 is amended to 43.
The defendant's criminal history category is formed by
assigning point values to previous criminal convictions and periods of
incarceration. (10) * Points are summed and assigned to categories,
where Category I is the least severe criminal history and Category VI is
the most severe. The final offense level and criminal history category
are mapped to a range of potential months of imprisonment using the USSC
Sentencing Table (Table 1). Defendants with a final offense level of 24
and a criminal history category of I, for example, are to be sentenced
to somewhere between 51 and 63 months, inclusively, in federal prison.
The actual sentence is a specific number of months within the guideline
range. (11)
Until January 2005. the sentencing guidelines were deigned
"mandatory," but federal judges were permitted to depart from
them in certain situations. (12) When a judge felt the guidelines
mandated a level of imprisonment that inadequately reflected the
defendant's criminal conduct, he could impose a downward departure
(sentence a defendant to less than the minimum guideline sentence) or an
upward departure (more than the maximum guideline sentence). Such
departures had to be explained by the judge in writing, could not be
justified by the defendant's race, creed, sex, education, or
socioeconomic status, and were not permitted to be justified by factors
already covered by the base offense level, specific offense
characteristics, or adjustments.
Defendants could also receive a reduced sentence through a
substantial assistance departure. USSC [section] 5K 1.1 states:
Upon motion of the government stating that the defendant
has provided substantial assistance in the investigation
or prosecution of another person who has
committed an offense, the court may depart from
the guidelines.
That is, if government prosecutors informed a judge that a
particular defendant had cooperated with the government and provided
evidence against at least one other individual, a federal judge could
sentence a defendant to any sentence beneath the guidelines, perhaps
even giving a sentence of no incarceration (Weinstein 1999).
The Anti-Drug Abuse Act of 1986 created mandatory minimum terms of
imprisonment--usually 5 or 10 years, and also possibly 20 years or
life-without-parole--for defendants convicted of violating specific drug
laws. (13) The 1986 act made it illegal for a judge to sentence a
defendant below a mandatory minimum term of imprisonment in the absence
of a prosecutor's substantial assistance motion. For example, were
a defendant convicted of a statute mandating 60 months of imprisonment,
and were the defendant's offense level and criminal history to map
to a guideline sentence of 70-87 months of imprisonment, the sentencing
judge could legally impose a downward departure, but could not impose a
sentence of fewer than 60 months in prison unless the government
provided a substantial assistance motion. With a substantial assistance
motion, the judge could impose a sentence of fewer than 60 months.
At least partially in response to concern over lengthy drug-related
sentences (Schumer 1994), a "safety valve" provision in 1994
weakened the "mandatory" nature of mandatory minimum
sentences. (14) Defendants with no more than one criminal history point
and no violent history, who had not played a high-level role in a
criminal conspiracy, and who had cooperated with the government--even if
that cooperation did not provide new information that aided in the
prosecution of another--were eligible for sentences below a mandatory
minimum term of imprisonment.
A potentially large sentence reduction, especially when a mandatory
minimum sentence is involved, provides strong incentive for an
individual charged with trafficking drugs to provide information to
federal prosecutors. (15) But defendants face uncertainty regarding
whether doing so will yield a sentence reduction. Prosecutors are under
no legal obligation to request substantial assistance departures for
defendants whose information they acknowledge has led to the arrest and
conviction of another (Weinstein 1999). (16) Defendants also face
uncertainty from judges: there is no legal obligation for a judge to
grant a substantial assistance reduction even if the government requests
one.
III. DATA
Two datasets are used in this article. The primary dataset is
Monitoring of Federal Criminal Sentences (MFCS), published every fiscal
year by the USSC. For each defendant convicted of a federal crime, the
dataset collects a substantial amount of information, including
demographics, the specific sentence imposed (including imprisonment,
probation, supervision, and fines), the offenses of which a defendant
has been convicted, the defendant's criminal history, the type of
departure (upward, downward, or substantial assistance) from the
sentencing guidelines (if any) the defendant received, whether the
defendant was convicted at trial, the federal district in which the
defendant was sentenced, (17) and more. Mandatory minimum sentences are
also recorded, even if the defendant avoided such a sentence via a
substantial assistance departure or safety-valve reduction. This
article's sample consists of drug traffickers who were sentenced in
the fiscal years 1997-2003. Observations where a defendant receives a
statutory sentence of life-without-parole or time served are dropped, as
are observations where defendants avoided mandatory minimum
life-without-parole sentences by receiving substantial assistance
departures. Defendants whose final offense level was 43 are also
dropped--Table 1 shows that these defendants can only avoid life
sentences by receiving either a downward departure or a substantial
assistance departure. I retain in the sample defendants receiving
parametric sentences that are effectively life sentences. (18) The final
sample of drug traffickers from MFCS totals 145,399 observations.
The empirical investigation is limited to drug traffickers for a
few reasons. Drug sales are by their nature criminal conspiracies, and
therefore drug traffickers are members of "felony society"
(Conlon 2004, 15). They are likely to know of other members of felony
society (i.e., people with whom they have dealt drugs) and possess
information which can be used to prosecute another in exchange for a
sentence reduction. In the federal system, for example, drug traffickers
are much more likely to receive substantial assistance departures than
other defendants. (19) Additionally, drug trafficking charges may be
less endogenous to the receipt a substantial assistance departures than
other kinds of federal criminal charges. For example, defendants charged
with fraud who receive substantial assistance departures often plead
guilty to lesser crimes that have statutory maximum terms of
imprisonment, such as 5 years or 10 years (e.g., Flood et al. 2004).
Drug trafficking defendants, by contrast, often face indeterminate
sentences (e.g., 5-years-to-life, 10-years-to-life) even when receiving
substantial assistance departures. Another benefit of limiting the
sample to drug trafficking crimes is that the weight of drugs which a
defendant has been found to have trafficked, which is recorded in the
MFCS, has been used as a plausibly exogenous measure of expected
sentence in drug trafficking crimes (Boylan and Long 2005).
Table 2 contains summary statistics of relevant MFCS variables. In
the full sample, 28% of defendants receive substantial assistance
departures and 5% are convicted at trial. Hispanics comprise 43% of the
dataset, while blacks comprise 29% and whites (the omitted category)
25%. Substantial assistance departures are more common among whites than
blacks and, especially, Hispanics. Defendants who receive substantial
assistance departures earn an average of 56 months in prison, those who
plead guilty without receiving substantial assistance receive 69 months,
and those convicted at trial receive 177 months. Sentences are longer
for blacks than whites and Hispanics. Hispanics who receive substantial
assistance departures receive only 5 fewer months in prison than those
who plead guilty without providing substantial assistance.
Females comprise 13% of all defendants, and are more common among
whites than blacks or Hispanics. Hispanics are much less likely than
whites or blacks to be American citizens. Approximately half of all
defendants are at least high school graduates, and Hispanics are much
less educated than whites or blacks.
Data regarding the type of lawyer retained does not appear to be
complete, and the omitted category in Table 2 is "unreported."
Given this limitation, it appears that Hispanics are more likely than
whites or blacks to use either court-appointed counsel or federal public
defenders, which are the two forms of representation given to indigent
defendants (Iyengar 2007).
The plurality of observations are of marijuana dealers. The
majority of blacks are crack dealers and whites are overrepresented
among methamphetamine and other drug dealers. The share of defendants
that receive Aggravating +2, +3, or +4 role in the conspiracy
adjustments is small across all races. Blacks are much less likely to
receive Minor -2 adjustments than whites or Hispanics. Hispanic
defendants are less likely to have used a weapon than whites or blacks,
and have less extensive criminal histories than whites or, especially,
blacks.
Table 3 shows the share of defendants facing mandatory minimum
sentences. Approximately 30% of each race's defendants face a
5-year minimum sentence. Over 40% of black defendants face a 10-year
mandatory minimum, probably because the majority of black defendants are
crack dealers. (20) Very few defendants of any race face mandatory
minimums of 20 years or more.
MFCS contains information regarding convicted and sentenced
defendants, but not defendants who were acquitted at trial. Data from
Federal Court Cases, an Administrative Office of U.S. Courts dataset
archived to ICPSR by the Federal Judicial Center, provides information
on acquitted defendants. This dataset is more parsimonious than MFCS. It
includes district and criminal charge of indictment, but does not
include demographic information, offense level, or expected period of
imprisonment, and generally does not include the specific drug(s) a
defendant was accused of trafficking. I limit my use of Federal Court
Cases to observations in fiscal years 1997-2003 in which a defendant was
found not guilty of drug trafficking after a trial. Following Leipold
(2005), I count as an acquittal all observations in which the defendant
was found not guilty of his most severe charge. This totals 1,542
acquittals, which comprises 1.1% of the final dataset and 18.1 % of
cases that proceed to trial. Individual observations from this dataset
cannot be matched to MFCS.
This article's dataset has limitations. It does not contain
defendants who, by providing substantial assistance, avoided federal
charges altogether or had drug trafficking charges reduced to other
federal charges (e.g., Rankin 2004). It does not detail the identities
or number of people that a defendant's information helped convict.
It does not identify defendants that provided information but were not
granted a substantial assistance departure. (For simplicity's sake,
the wording in the remainder of this article assumes that a defendant
receives a substantial assistance departure if and only if he cooperates
with prosecutors.) Lastly, markets for information in the federal system
may differ from other criminal justice systems, because federal
convictions are a nonrandom portion of overall criminal convictions
(Glaeser, Kessler, and Piehl 2000).
IV. ESTIMATION STRATEGY
I separate MFCS observations into three separate groups based on
case disposition: defendants who received a substantial assistance
departure (c = SUBASST), defendants who pleaded guilty but did not
receive a substantial assistance departure (c = PLEAD), and defendants
who were convicted at trial (c = TRIAL). (21) Versions of the following
equation are then estimated separately for each of these three groups:
(1) [S.sub.idtc] = [PH] ([F.sub.idtc]) +
[[gamma].sub.c][X.sub.idtc] + [X.sub.c][Z.sub.idtc] + [[theta].sub.dc] +
[[eta].sub.tc] + [[epsilon].sub.idtc]
where i is the individual being sentenced, d is the federal
district of his sentencing, and t is his fiscal year of sentencing.
[S.sub.idtc], the dependent variable, is months imprisonment imposed by
the sentencing judge upon the offender. Since a fair amount of
defendants--especially those who provide substantial assistance--receive
sentences of 0 months imprisonment, I use a maximum likelihood Tobit
analysis to estimate Equation (1) when the dependent variable is months
imprisonment. (22) I also estimate Equation (1) in specifications where
[S.sub.idtc] is log months imprisonment. For these equations,
estimations are OLS and sentences of 0 months imprisonment are recorded
as 1-day sentences. These estimations of Equation (1) assume
selection-on-observables.
[PHI]([F.sub.idtc]) captures the severity of the crime of which
defendant i was convicted. I use four different specifications of
[PHI]([F.sub.idtc]) in this article. All four omit controls for
judicially imposed downward and upward departures, which are not
possible for defendants who provide substantial assistance and which I
assume are unknown ex ante.
The most parsimonious specification of [PHI]([F.sub.idtc]) includes
only the weapon dummy, which is assumed to be exogenous to case
disposition. (22)
The second, the mandatory minimum specification, adds dummy
variables representing the mandatory minimum sentence a defendant faces
(5-year, 10-year, or 20-or-more year) interacted with a dummy indicating
safety-valve receipt.
The third, the baseline cell specification, takes the mandatory
minimum specification and adds dummy variables representing the
interaction of base offense level and criminal history category. This is
similar to Mustard (2001), except that instead of using the final
offense level, which may be correlated with case disposition, it uses
the base offense level (Nutting 2013; Schanzenbach 2005; Schanzenbach
and Tiller 2007). (24) Base offense level is calculated via the weight
of drugs determined to have been trafficked, (25) which Boylan and Long
(2005) argue is an exogenous control for drug trafficking crime.
Criminal history category is not identified in this specification,
because it is fully interacted with base offense level.
Finally, the final guideline cell specification replaces baseline
cells with dummies for each of the interactions of final offense level
and criminal history, i.e., the 258 Table 1 guideline cells. This is the
same specification as Mustard (2001), though it adds the mandatory
minimum controls and weapons dummy. Since some offense level adjustments
are strongly correlated with case disposition, this specification cannot
be considered exogenous to a defendant's choice of whether to
provide substantial assistance, plead guilty without providing
assistance, or go to trial. (26) As in the baseline cell specification,
criminal history category is not identified.
[Z.sub.idtc] in Equation (1) represents defendants'
demographic characteristics. These include controls for the
defendant's race, sex, age, citizenship status, number of
dependents (upper bounded at 6), education level, and type of lawyer
retained. Previous researchers have found that demographic factors are
significantly correlated with sentence outcomes, even in the strict
federal guideline regime that proscribes judges from letting such
matters affect a defendant's sentence (e.g., Albonetti 1997;
Everett and Wojtkiewicz 2002; Mustard 2001; Schanzenbach 2005; Sorensen
et al. 2014; Steffensmeier and Demuth 2000).
[X.sub.idtc] consists of controls for criminality-related factors
that can affect a defendant's term of imprisonment. These include
dummy variables for the primary drug a defendant dealt (cocaine, crack,
heroin, marijuana, methamphetamine, or other drug), (27) a linear
control for the number of different drugs a defendant dealt, dummies
representing role-in-the-offense adjustments, and dummies for criminal
history category. All of these are assumed to be exogenous to case
disposition. (This assumption will be discussed more later in the
article.)
The vectors [[theta].sub.dc] and [[eta].sub.tc] are fixed effects
parameters that capture federal-district effects and fiscal-year
effects, respectively. (28) Random error is represented by
[[epsilon].sub.idtc], which is normally distributed when Equation (1) is
a Tobit estimation. The method by which estimations of Equation (1) are
used to predict substantial assistance prices will be explained further
in the next section.
The second stage of estimations examines which defendants receive
substantial assistance departures. I estimate versions of the logit
equation
(2) [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
where [[??].sub.idt(c = PLEAD)] is i's expected sentence of
pleading guilty without cooperation. [[??].sub.idt(c = PLEAD)] is
constructed by using coefficients from estimations of Equation (1) on
the population of c = PLEAD defendants. For each i, different expected
sentences are constructed from the results of both the mandatory minimum
and the baseline cell Tobit specifications of Equation (1).
[PSI]([[??].sub.idt]) in Equation (2) represents the functional
form of the expected sentence control, which is cubic. (29) [X.sub.idt]
is the vector representing the defendant's criminality--type of
drug dealt, role-in-the-offense, and criminal history category.
[Z.sub.idt] is a vector of demographic controls. Fixed effects for
district and fiscal year of sentencing are, respectively, represented by
[[lambda].sub.d] and [[phi].sub.t]. Because [[??].sub.idt(c=PLEAD)] is a
predicted value, standard errors to Equation (2) estimations are
adjusted in the form advocated by Murphy and Topel (1985). (30)
Observations of acquitted defendants from the Federal Court Cases
database are included in Equation (2). Most right-hand-side variables in
Equation (2) are not present in Federal Court Cases, so are not observed
for defendants who are acquitted. To address this, acquitted defendants
are separated by federal district and assigned variable values equal to
district-specific means of defendants convicted at trial.
V. RESULTS
For brevity, results from the baseline cell specification are
removed from this article. They are quite similar to the results using
the mandatory minimum specification, and are available from the author
upon request.
A. Sentences
Table 4 shows results of Tobit estimations where months
imprisonment is the dependent variable. Columns 1-3 show results when
omitting all controls for mandatory minimum sentence and offense level
for defendants who receive substantial assistance departures (Column 1),
defendants who plead guilty without receiving substantial assistance
(Column 2), and defendants who are convicted at trial (Column 3). In all
three columns, coefficients on black, Hispanic, non-U.S. citizen, age,
number of dependents, private attorney, hard (non-marijuana) drugs,
Aggravating role, and criminal history category are significantly and
substantially positive. Coefficients on female, mitigating roles, and
federal public defender are significantly and substantially negative.
Better-educated defendants receive shorter prison sentences when
providing substantial assistance (Column 1), but their results are more
ambiguous when pleading guilty without cooperation (Column 2).
Columns 4-6 repeat Columns 1-3 but control for the severity of
i's crime using the mandatory minimum specification, i.e., adding
controls for mandatory minimum and safety valve. Many of the
coefficients in Columns 1-3 retain their signs and significances but
fall in absolute value, indicating that much of the reason that (for
example) black dealers and dealers of hard drugs receive longer prison
sentences is because they face stiffer mandatory minimum sentences. The
coefficients on female fall in absolute value, indicating females
receive shorter prison sentences partially because they face less stiff
mandatory minimum sentences.
When final cell dummies are added to the right-hand-side (Columns
7-9), many coefficients weaken further. The findings in Columns 7-8 that
black defendants receive significantly longer sentences even after
controlling for sentence-related factors is consistent with results of
previous researchers (e.g., Albonetti 1997; Everett and Wojtkiewicz
2002; Mustard 2001; Sorensen et al. 2014; Steffensmeier and Demuth
2000). Blacks convicted at trial receive significantly shorter sentences
than whites (Column 9). (31)
Coefficients in Table 4 are used to create prices in the market for
information. To illustrate, take the coefficients on the black dummy
variable in Columns 1-2. Blacks who receive substantial assistance
departures receive 9.5-month longer sentences than whites, while blacks
who plead guilty without receiving substantial assistance receive
6.3-month longer sentences than whites. That means that blacks receive a
(9.5-6.3 =) 3.2-month smaller sentence reduction than whites when
providing substantial assistance. That is, they receive a lower price
for their cooperation when selling their information to prosecutors.
Along the same lines, women receive a (14.1-11.4=) 2.7-month larger
sentence reduction than men, i.e., a higher price for their cooperation
when selling their information to prosecutors.
Table 5 shows prices in the market for information. Prices are
[[??].sub.PLEAD] = [[??].sub.SUBASST], the differences between
coefficients when pleading guilty without cooperation and coefficients
when providing substantial assistance. (32) Column 1 shows prices when
not controlling for mandatory minimums. Column 1 implicitly assumes that
the application of mandatory minimums can change for defendants who
provide substantial assistance. Females, better-educated defendants,
dealers of hard drugs, Aggravating-role dealers, and some defendants
with longer criminal histories receive significantly larger sentence
reductions. Blacks, dealers represented by court-appointed counsel or
federal public defenders, and low-level dealers receive smaller sentence
reductions.
Column 2 shows prices when using the mandatory minimum
specification, i.e., when assuming that application of mandatory minimum
sentences is exogenous to a defendant's receipt of a substantial
assistance departure. The high Column 1 prices received by dealers
selling harder drugs, playing Aggravating roles, and with longer
criminal histories are substantially weakened, and for heroin the sign
is actually reversed. These results suggest that much of harder-drug
dealers' high prices when providing substantial assistance are
gained through the reduction of mandatory-minimum charges.
Columns 3-4 repeat Columns 1-2 but show prices in terms of log
months imprisonment instead of months imprisonment. (33) When omitting
controls for mandatory minimums (Column 3), blacks receive 18% (=
exp(-0.20)- 1) lower prices than whites, Hispanics receive 21% lower
prices than whites, and illegal aliens receive 27% lower prices than
whites. Women receive 40% higher prices than men, and college graduates
receive 17% higher prices than high school dropouts.
For harder-drug dealers, Aggravating +2 dealers, and dealers with
longer criminal histories, log sentence reductions are significantly
negative in Column 3 even though sentence reductions in Column 1 were
significantly positive. These defendants get significantly more time
shaved off their sentences when cooperating only because they face
longer sentences in the first place. Conversely, low-level dealers
receive large log sentence reductions (Column 3) but small sentence
reductions (Column 1) because they face shorter sentences in the first
place.
Column 4 shows log sentence reductions when controlling for
mandatory minimums. Black defendants receive 18% smaller reductions when
not controlling for mandatory minimums (Column 3) but only 10% smaller
log sentence reductions when controlling for them (Column 4). This
suggests that blacks are less likely than whites to have
mandatory-minimum-related charges reduced when providing substantial
assistance. (34) High-level dealers and dealers with long criminal
histories receive smaller log sentence reductions in Column 3 than in
Column 4, suggesting that high-level and career-criminal dealers are
more likely than mid-level dealers to receive reductions of
mandatory-minimum-related charges when providing substantial assistance.
To summarize Table 5: blacks, Hispanics, non-U.S. citizens, and
dealers represented by court-appointed counsel tend to have small
substantial-assistance-related sentence reductions and small log
sentence reductions, i.e., low prices of selling their information.
Females and better-educated defendants tend to have larger sentence
reductions and larger log sentence reductions, i.e., higher prices of
selling their information. Aggravating-role dealers, harder-drug
dealers, and dealers with longer criminal histories have large sentence
reductions but their log sentence reductions are small because they face
especially long sentences in the first place. Mitigating-role dealers
experience small sentence reductions but large log sentence reductions
because they face shorter overall prison sentences.
B. Probability of Providing Substantial Assistance
Before discussing the probability of a defendant receiving a
substantial assistance departure, it is important to discuss the
endogeneity in Equation (2) regarding the control for expected sentence
of pleading guilty without cooperation. In the mandatory minimum
specification, expected sentence is identified by a weapons enhancement
plus mandatory minimum dummies interacted with a safety-valve dummy.
(35) Table 5 has suggested, though, that much of the method by which
defendants receive sentence reductions via cooperation is by getting
mandatory minimum charges reduced, presumably through the
plea-bargaining process (e.g., Reinganum 1988; Schulhofer and Nagel
1997). Therefore, results of Equation (2) could show a spurious negative
relationship between expected sentence and probability of receiving a
substantial assistance departure, because mandatory minimum charges are
reduced for defendants who receive substantial assistance departures. As
it stands, however, this article finds a monotonically positive
relationship between expected sentence of pleading guilty without
cooperation and probability of providing substantial assistance. This
can be interpreted, then, as a lower bound of a clearly positive
relationship between expected sentence length and a drug trafficking
defendant's cooperation with prosecutors.
Table 6 shows marginal effects on the probability of receiving a
substantial assistance departure. (36) Column 1 omits controls for
expected sentence. Black, Hispanic, other-race, non-U.S. citizen, and
age controls receive substantial assistance departures at significantly
lower rates. Female defendants, defendants with better educations, and
those with more dependents receive them at significantly higher rates.
Defendants who retain private attorneys receive significantly more
substantial assistance departures, and those represented by federal
public defenders receive significantly fewer. Harder-drug dealers
receive substantial assistance departures significantly more often than
marijuana dealers (the omitted drug type category). Lower-level dealers,
especially those with a Minimal -4 adjustment, receive fewer substantial
assistance departures and Aggravating-role dealers, especially
Aggravating +3 dealers, receive more. (37) Defendants with longer
criminal records receive significantly more substantial assistance
departures.
[FIGURE 1 OMITTED]
Column 2 adds a cubic control for defendants' expected
sentence of pleading guilty without cooperation, where expected sentence
is created from the mandatory minimum specification of Equation (1).
Coefficients on expected sentence are not reported (all three
coefficients are significant), but Figure 1 shows that defendants are
monotonically more likely to receive a substantial assistance departure
when facing longer expected sentences of pleading guilty without
cooperation. A defendant facing a 4-year sentence has a 24% probability
of receiving a substantial assistance departure, one facing a 15-year
sentence has a 40% probability, and one facing a 30-year sentence has a
65% probability.
Controlling for expected sentence does not change the signs or
significances of marginal effects on most demographic controls, though
the positive coefficient on court-appointed counsel becomes significant.
Black and Hispanic dealers, non-U.S. citizen dealers, and dealers
represented by federal public defenders still receive significantly
fewer substantial assistance departures, while women, better-educated
defendants, and defendants represented by private attorneys still
receive significantly more.
Marginal effects related to type of drug dealt, role in the
offense, and criminal history change substantially in Column 2 because
these factors are substantially correlated with expected prison
sentence. Crack dealers become significantly less likely to cooperate,
and heroin and methamphetamine dealers no more likely to cooperate, when
controlling for expected sentence. Cocaine and other drug dealers still
cooperate significantly more often than marijuana dealers, but their
marginal effects become less intense. Minor -2 defendants now provide
substantial assistance significantly more often, and Minimal/Minor -3
and Minimal -4 dealers no less often, than mid-level dealers.
Aggravating +2 and Aggravating +4 dealers now cooperate significantly
less often than mid-level dealers. Aggravating +3 dealers, however,
still cooperate significantly more often. Longer criminal histories also
become correlated with fewer substantial assistance departures.
C. The Market for Information
Table 5 established that different groups of defendants receive
different prices when providing substantial assistance. Table 6 showed
that different groups have different quantities of providing substantial
assistance. Tables 7 and 8 combine this price and quantity information
to illustrate relative supply and relative demand differences in the
market for cooperation. (38) Table 7 shows the market when prices-as
measured by log sentence reductions-omit all controls for mandatory
minimums and offense levels, and quantities-as measured by probabilities
of receiving substantial assistance departures-omit controls for
expected sentence. Groups with high (low) prices have significantly
positive (negative) signs in Table 5, Column 3, and those with high
(low) quantities have significantly positive (negative) signs in Table
6. Column 1.
Groups in Table 7 exhibiting high relative supply--low prices and
high quantities--are defendants expecting long sentences if they do not
provide information. These include harder-drug dealers, dealers with
extensive criminal histories, and Aggravating +2 dealers. Those with low
relative supply are low-level dealers, who face shorter sentences.
Groups with high relative demand for cooperation--high prices and high
quantities--are females and defendants with at least a completed high
school education. Groups with low relative demand are Blacks, Hispanics,
other races, and non-U.S. citizens.
Type of attorney also affects a defendant's position in Table
7. Clients of federal public defenders experience significantly lower
quantities but insignificantly different prices, while clients of
private attorneys experience significantly higher quantities but
insignificantly different prices. Indigent clients of court-appointed
counsel receive significantly lower prices, but not significantly
different quantities.
Table 8 shows the market for cooperation where quantity is
conditional on the mandatory minimum specification of expected sentence
(Table 6, Column 2). Since this specification assumes mandatory minimums
are exogenous to case disposition, prices are adjusted to those acquired
from estimations using the mandatory minimum specification (Table 5,
Column 4). Relative demand becomes low for crack dealers, Aggravating +2
and +4 dealers, and dealers with extensive criminal histories.
Conversely, Minor -2 dealers had low relative supply in Table 7 but high
relative demand in Table 8. In Table 8, only cocaine dealers, other drug
dealers, Aggravating +3 dealers, and dealers represented by
court-appointed counsel have high relative supply of substantial
assistance, and no groups have low relative supply.
VI. EXPLAINING DIFFERENCES IN THE DEMAND AND SUPPLY FOR SUBSTANTIAL
ASSISTANCE
Tables 7 and 8 show substantial differences between race, gender,
citizenship, and education-level groups in law enforcement's demand
for their substantial assistance. It is possible that these differences
reflect discrimination in the criminal justice system. Schanzenbach
(2005), for example, shows strong evidence that male judges discriminate
in favor of female defendants during criminal sentencings. If male
federal agents and prosecutors similarly favor female defendants, it
could account for the high demand for testimony of females observed in
this article. (39) Antonovics and Knight (2004) and Donohue and Levitt
(2001) show evidence of racial biases among white police officers. If
such biases extend to white federal agents and prosecutors, it could
explain the low demand for testimony for black, Hispanic, and non-U.S.
citizen defendants.
Demand-side discrimination could also conceivably be related to
biases of juries. Anwar, Bayer, and Hjalmarsson (2012) find that adding
a small number of black citizens to a jury pool, let alone a sitting
jury, eliminates a significant and substantial conviction rate between
white and black defendants. If white-dominated juries value testimony
more from white witnesses than black and Hispanic witnesses, prosecutors
facing more heavily white jury pools may demand more substantial
assistance from white defendants.
Observed demand differences may not be related to discrimination,
however. The differences in demand could reflect between-group
differences in underlying characteristics that are valued by the
criminal-justice system but are unobserved in the MFCS dataset.
Defendants with higher cognitive ability may be better at revealing the
inner workings of criminal organizations to prosecutors and jurors
(Pileggi 1986, 3-4), and cognitive ability is correlated with years of
education (e.g., Neal and Johnson 1996). This would make better-educated
defendants more productive witnesses, increasing their demand.
Prosecutors and juries may also value remorse when demanding substantial
assistance (Eichenwald 2000, 480; Simons 2002), and remorse may be
heterogeneously distributed among different groups. Women, for example,
may exhibit more remorse over drug trafficking than men.
Table 7 shows that relative supply differences in the market for
cooperation are strongly associated with expected sentence. It seems
probable that drug dealers facing long stretches in prison are more
willing to supply substantial assistance to shorten their sentences,
while those facing shorter stretches in prison are less willing. Another
possibility is that dealers facing long sentences possess extensive
knowledge of the criminal activities of others, so their cost of
producing substantial assistance is low, raising their supply.
Conversely, low-level dealers and dealers without criminal records may
wish to provide substantial assistance, but be too ignorant of
others' criminality to do so, giving them low supply. (This is the
"cooperation paradox" mentioned in Footnote 14.) It is also
possible that low-level dealers have low supply because they fear
retaliation if they provide evidence against higher-level dealers (Kahn
2007).
That demand conditional on expected sentence (Table 8) is high for
Minor -2 dealers and low for dealers with long criminal records and
Aggravating +2 and +4 dealers suggests that judges, prosecutors, and
juries value testimony from defendants with less criminal culpability,
even if such defendants are less willing or able to supply it (Table 7).
Perhaps using the testimony of lower-level defendants to help convict
and imprison high-level and career-criminal defendants fits within the
moral framework of prosecutors and juries. Lower-level dealers may also
exhibit more remorse over drug trafficking than higher-level and
career-criminal dealers.
The high supply of Aggravating +3 dealers, even conditional on
expected sentence, is at odds with other high ranking dealers. Recall
that Aggravating +3 dealers are explicitly not "organizers or
leaders" of large drug conspiracies, but are "managers or
supervisors." Their high supply could be explained by their
possession of information that gives them an especially low cost of
producing testimony that can be used to convict the highest level
Aggravating +4 dealers for whom they work (e.g., Fried 1994).
That Table 8 shows higher demand conditional on expected sentence
for Minor -2 dealers, but not Minimal/Minor -3 or Minimal -4 dealers,
may reflect endogeneity issues. Schulhofer and Nagel (1997) show that
prosecutors occasionally manipulate a defendant's
role-in-the-offense adjustment in order to reduce his prison sentence.
Under the mandatory guidelines system, such mitigation of
role-in-the-offense adjustments would have been more necessary for
defendants not receiving substantial assistance departures, whose final
offense levels were strongly determinant of prison sentence. Thus there
could have been reverse causality: some defendants may have received
Minimal/Minor -3 and Minimal -4 adjustments precisely because they did
not receive substantial assistance departures. This may account for why,
in Table 8, Minimal -3 and Minimal/Minor -4 defendants do not receive
higher quantities of substantial assistance than mid-level defendants,
even though Minor -2 defendants do. (40)
That cocaine and other drug dealers exhibit higher supply of
substantial assistance even after controlling for expected sentence may
indicate differences in the expected costs of conviction. If, for
example, cocaine dealing is an especially remunerative practice, cocaine
dealers may have accumulated large amounts of assets that they wish to
keep after undergoing prosecution. They may sell substantial assistance
in exchange for asset retention rather than sizeable sentence
reductions. (41) Another possibility is that dealers of drugs such as
LSD (Rosenfeld 2001) and steroids (Dorman and Llosa 2006) have skills
that are more transferable to more legitimate professions, making them
more willing to supply substantial assistance because their opportunity
costs of an extended prison sentence are higher. Ceteris paribus, for
the same time spent in prison, high-income convicts lose more than
low-income convicts (Lott 1992).
Results regarding attorney type may reflect different incentive
structures facing different attorneys. Court-appointed attorneys, for
example, are paid by the government at an hourly rate. Iyengar (2007)
theorizes that such an incentive cause court-appointed counsel to
proceed to trial on cases that are weaker from the defense standpoint
(Anderson and Heaton 2011; Iyengar 2007). Hourly rate incentives may
similarly result in a higher supply of substantial assistance in Table
8, because representing a testifying witness may result in more billable
hours than representing a client who remains silent and quickly pleads
guilty. Private attorneys may have similarly high quantities of
substantial assistance among their clients because they wish to extend
their representation of clients paying hourly rates. But private
attorneys may receive significantly higher prices of information for
their defendants than court-appointed attorneys because they are more
capable defense attorneys or represent defendants whose testimony is
more valuable to prosecutors.
Defendants represented by federal public defenders have low rates
of providing substantial assistance but receive insignificant price
differences. This may reflect a long-run equilibrium where federal
public defenders provide low supply of substantial assistance because
they have less financial incentive to extend their representation of a
particular client or have a more adversarial attitude toward the
prosecution (e.g., Deutsch et al. 1990). Prosecutors respond by lowering
their demand for substantial assistance from clients of public
defenders.
VII. RACE-SPECIFIC RESULTS
Tables S2 and S3, respectively, show substantial assistance prices
and quantities separately for white, black, and Hispanic drug
trafficking defendants, (42) and Figure S1 shows, for each race, how
expected sentence correlates with probability of providing substantial
assistance.
Tables 9-11 summarize race-specific results by showing, by race,
which characteristics are in high relative demand, low relative demand,
high relative supply, and low relative supply. Among white dealers
(Table 9), women, high school graduates, and those with some college are
in high relative demand regardless of specification. When expected
sentence is controlled for, Minimal -1--the lowest-possible
role-in-an-offense--experiences high relative demand and non-U.S.
resident defendants experience low demand. Also when controlling for
expected sentence, crack dealers, aggravating-role dealers, and dealers
with extensive criminal histories are in low relative demand, indicating
that prosecutors are less willing to cut substantial assistance deals
with more morally repugnant white defendants. Cocaine dealers and
dealers represented by court-appointed counsel have high supply of
cooperation even when controlling for expected sentence.
Noticeably fewer factors are significant when turning the focus to
black defendants (Table 10). Females experience high relative demand in
both specifications, and Minor -2 dealers experience high relative
demand when controlling for expected sentence. Aggravating +2 dealers
experience low relative demand when controlling for expected sentence.
There is no significant relationship between education level and
relative demand among black defendants. Like whites, black dealers with
longer criminal histories have high relative supply of cooperation when
omitting expected sentence controls but low relative demand for
cooperation when including them. Court-appointed counsel results in a
high relative supply of cooperation in both specifications.
Among Hispanic defendants (Table 11), women and defendants with
some college experience high relative demand, and non-U.S. citizens
experience low relative demand, whether controlling for expected
sentence or not. Minor -2 dealers have low relative supply in both
specifications, and defendants who deal multiple kinds of drugs have
high relative supply. Defendants with long criminal histories again have
high supply when omitting sentence controls and low demand when
including them.
For all races, then, women experience high relative demand for
substantial assistance. (41) Better-educated white and Hispanic
defendants experience high relative demand, but not better-educated
black defendants. There is more evidence that prosecutors demand
substantial assistance from low-level dealers among whites and blacks
than among Hispanics. Among all races, defendants with long criminal
histories have high relative supply of substantial assistance, but low
relative demand after controlling for expected sentence. White and black
dealers represented by court-appointed counsel have higher relative
supply of substantial assistance.
VIII. CONCLUSION
This article examines the market for information--"substantial
assistance"--in federal drug prosecutions. Using detailed data
regarding prison sentences imposed in federal court, estimations show
defendant demographics, the defendant's role in a drug conspiracy,
and the defendant's legal representation yield significant and
substantial differences in both the size of sentence reductions
associated with providing evidence against others and the probability of
receiving such sentence reductions. Women and better-educated defendants
experience significantly larger sentence reductions and more frequent
substantial assistance departures. This translates into them
experiencing high relative demand from law enforcement for the
information they provide. Blacks, Hispanics, and non-U.S. citizens all
experience smaller sentence reductions and less frequent substantial
assistance sentence reductions; i.e., relatively low demand for their
information. Defendants facing long prison sentences--dealers of harder
(non-marijuana) drugs, high-level dealers, and dealers with extensive
criminal histories--have high relative supply of information, while
lower-level dealers have low relative supply. Conditional on expected
sentence, though, crack dealers, high-level dealers, and dealers with
extensive criminal histories experience low relative demand, and
minor-role dealers experience high relative demand.
Many differences in supply appear to result from defendants being
more willing or able to provide substantial assistance when facing
longer sentences. That crack dealers, high-level dealers, and/or dealers
with long criminal records experience lower relative demand for their
information conditional on expected sentence suggests that prosecutors
would rather not grant substantial assistance departures to more morally
repugnant defendants.
Separating markets by race shows that women of all three races
experience high relative demand for cooperation. Lower-level white and
black, but not Hispanic, dealers experience high relative demand.
Better-educated white and Hispanic, but not black, defendants experience
higher relative demand. Among all races, dealers with long criminal
records have high relative supply that turns into low relative demand
after controlling for expected sentence.
Some of the speculation in this article regarding the causes of
demand and supply differences across different defendants could be
tested with more detailed data. Whether females receive higher relative
demand because they are perceived to possess more remorse could be
tested with detailed information of comments at sentencing hearings.
Seeing how many convictions resulted from defendants' substantial
assistance, or the resultant prison sentences of their substantial
assistance, could assist in determining whether better-educated
defendants provide more productive testimony.
Better data could also help determine whether different structures
of criminal organizations yield differences in the demand for
substantial assistance. For example, if the government prosecutes a
conspiracy where information is known by all conspirators, each
defendant's information would be easily substitutable, so
prosecutors could reduce demand for substantial assistance. But in
conspiracies where information is more tightly controlled (e.g., Breslin
2008), certain defendants would possess less substitutable information,
increasing demand for their substantial assistance. Furthermore, if drug
trafficking conspirators of different demographic backgrounds tend to
organize their conspiracies differently, it could explain some of the
demographic differences in demand shown in Tables 7 and 8.
ABBREVIATIONS
MFCS: Monitoring of Federal Criminal Sentences
USSC: United States Sentencing Commission
doi: 10.1111/ecin.12123
Online Early Publication July 23, 2014
APPENDIX
Murphy and Topel (1985) provide a method of correcting standard
errors when using a predicted value as a right-hand-side variable. Hole
(2006) demonstrates how, using Stata, Murphy-Topel can be applied by
calculating the score value from first-stage maximum likelihood
estimation.
A complication in this article is that the predicted
value--expected sentence if plead guilty without cooperation--is
constructed by estimating an equation on only part of the population
used in the second-stage estimation. Defendants who receive substantial
assistance departures or are convicted at trial do not have calculable
score values pertaining to the expected sentence of pleading guilty
without cooperation.
I create score values for these defendants using a method outlined
by Juhn, Murphy, and Pierce (1993, 1991). For each set of populations c
(SUBASST, PLEAD. TRIAL). I estimate first-stage Tobit equations and
establish score values. I assign each observation's score a
within-c percentile value from 0 to 99. SUBASST and TRIAL observations
in percentile rt of their own-population score functions are assigned
the median score function of percentile n in the PLEAD population when
correcting standard errors. Defendants who were acquitted at trial are
assigned a percentile equal to the within-district median percentile
among defendants who were convicted at trial.
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SUPPORTING INFORMATION
Additional Supporting Information may be found in the online
version of this article:
Figure S1. Probabilities of Substantial Assistance Departure by
Race, Mandatory Minimum Sentence Specification
Table S1. Log OLS Estimation Results
Table S2. Substantial Assistance Log Sentence Reductions, by Race
Table S3. Marginal Effects of Logit Estimations, by Race
(1.) Fried (1994), regarding the sentencing of Salvatore
"Sammy the Bull" Gravano of the Gambino crime family.
(2.) See, for example, Levitt (1998), Kessler and Levitt (1999), Di
Telia and Schargrodsky (2004), Klick and Tabar rok (2005), Ayres and
Levitt (1998), Freeman (1999), Grogger (1998), Machin and Meghir (2004),
Fishback, Johnson, and Kantor (2011), Gould, Weinberg, and Mustard
(2002), Shavell (1992), and Marvell and Moody (2001).
(3.) Weinstein (1999) refers to deals with informers as taking
place in "the market for snitches."
(4.) The famous prisoner's dilemma (Luce and Raiffa 1957) is
an example of information being treated as a market good.
Prisoner's dilemma games have been empirically tested in
experiments involving students (Andreoni and Miller 1993; Frank,
Gilovich, and Regan 1993), game-show contestants (List 2006), and the
hiring of attorneys (Ashenfelter and Bloom 1993).
(5.) Mustard (2001, Table 10) makes this claim when combining the
receipt of substantial assistance departures and the receipt of
judicially imposed "downward departures" into one
"guideline departure" variable. Departures are discussed more
thoroughly in Section II of this article.
(6.) For a thorough history of the considerations that led to the
passage of the Sentencing Reform Act, see Stith and Kuo (1993).
(7.) The analysis here is taken from Chapters 2-6 of the United
States Sentencing Commission Guidelines Manual, 2003 edition.
(8.) Insider trading, for example, has a base offense level of 8.
Racketeering has a base offense level of 19. Treason has a base offense
level of 43.
(9.) Other adjustment categories include the nature of the victim
(victimizing those who are unusually vulnerable or acting in an official
capacity will increase an offense level, as will restraining a victim in
the course of a crime), whether the defendant abused trust by committing
his crime, and whether the defendant's crime was related to
terrorism.
(10.) Each prior prison sentence of at least 13 months is assigned
3 points. Each prior prison sentence of between 2 and 13 months, and
each offense committed on parole, probation, or under court supervision,
is assigned 2 points. Most other convictions are assigned 1 point.
(11.) Defendants in Zone A of the Sentencing Table are permitted to
receive no period of imprisonment. Defendants in Zone B must receive at
least 1 month of imprisonment, and defendants in Zone C are permitted to
serve up to half their sentence via house arrest or in a halfway house.
(12.) In January 2005, the U.S. Supreme Court ruled 5-4 in U.S. vs.
Booker and U.S. vs. Fanfan that mandatory sentencing guidelines
unconstitutionally violated a defendant's right to a jury trial
because judges, not juries, determined whether specific offense
characteristics and/or adjustments applied to convicted defendants. The
Supreme Court ruled that the guidelines were to be advisory rather than
mandatory (Mauro 2005).
(13.) The act was passed in response to the increasing national
presence of crack cocaine (Fryer et al. 2013; Grogger and Willis 2000)
and the June 1986 fatal cocaine overdose of college basketball star Len
Bias (Baum 1997; Walsh 1986).
(14.) A substantial law-review literature (e.g., Simons 2002; Stith
and Cabranes 1998; Weinstein 1999; Yaroshefsky 1999, 2003) has developed
concerning mandatory minimum sentences and substantial assistance
departures. Such laws have received attention from more mainstream
publications and television programs (e.g., Bikel 1999; Bradley 2004;
Caher 2006; Saunders 2005). Much of the mainstream attention has been
negative, consisting of two general lines of complaint. The first is
that drug sentences, especially mandatory minimums, are excessively
punitive. The second concern is the "cooperation paradox"
(e.g., Weinstein 1999) which states that the combination of high
mandatory sentences, substantial assistance departures, and federal
conspiracy laws--under which a defendant can be held criminally
responsible for drugs trafficked by others--can lead to prison sentences
that are negatively correlated with criminal activity. This happens when
devious, manipulative, and high-level defendants who are involved in a
huge number of crimes receive substantial assistance departures because
they possess knowledge leading to convictions of many low-level
defendants. Low-level defendants, meanwhile, lack such information, and
are stuck with mandatory minimum sentences after failing to receive
substantial assistance departures.
(15.) The incentive is so strong that the judiciary for a time
ruled in U.S. vs. Singleton that substantial assistance reductions were
in violation of federal witness-bribery statutes (Biskupic 1998).
(16.) Maxfield and Kramer (1998) found that over 60% of defendants
who provided some form of assistance to the government did not receive a
substantial assistance departure.
(17.) There are 94 federal districts distributed among the 50
states plus the District of Columbia, Puerto Rico, Guam, the U.S. Virgin
Islands, and the Marianas. No district covers terrain in multiple states
or territories. Each state/territory possesses between 1 and 4
districts. New York, Texas, and California are the only states with four
federal districts.
(18.) Sentences are top-coded at 990 months.
(19.) In fiscal year 2003, 26.9% of federal drug trafficking
sentencings involved defendants who received substantial assistance
departures; only 15.0% of defendants sentenced for other offenses
received substantial assistance departures.
(20.) Sentencings in this article took place when the federal 100:1
provision mandated that trafficking 5g of crack netted a defendant the
same 60-month mandatory minimum as trafficking 500 g of cocaine, and
trafficking 50 g of crack resulted in the same 120-month mandatory
minimum as trafficking 5 kg of cocaine (Blumstein 2003). The ratio was
changed to 18:1 in August 2010 (Liptak 2012).
(21.) Defendants who plead nolo contendre are categorized as
pleading guilty. I do not discern between being found guilty via jury
trial or via bench trial. A small number of observations of defendants
who both received substantial assistance departures and were convicted
at trial (e.g., Mayko 2003) are removed from the dataset.
(22.) Approximately 10.2% of defendants who provide substantial
assistance receive no prison sentence, as do 3.8% of those who plead
guilty but provide no cooperation. Fewer than 1 in 150 defendants
convicted at trial receive 0 months imprisonment.
(23.) Prosecutors have the capacity to charge a defendant with
separate criminal counts for drug-related weapons possession, and such
charges have been demonstrated to increase a defendant's sentence
by as much as 660 months (Madigan 2004). Anecdotal evidence suggests
that stiff sentences associated with weapons offenses are effective
means by which police and prosecutors can encourage criminals to
cooperate with law enforcement (Alvarez 2004, 28).
(24.) For defendants convicted of multiple counts, base offense
level is equal to combined adjusted offense level (see Section II).
(25.) Regressing the log of marijuana-equivalent weight--an MFCS
variable translating the amount of drugs a defendant was determined to
have dealt into the amount of marijuana a defendant would have to have
dealt in order to face the same prison sentence--on a vector of base
offense level dummy variables results in an R2 of .91.
(26.) The acceptance of responsibility adjustment, totaling a
reduction in two or three offense level points, is effectively an
offense level reduction for defendants who plead guilty. Of defendants
convicted at trial, 5.8% receive the acceptance-of-responsibility
adjustment. Of guilty pleas, 96.9% of cooperators and 94.1% of
non-cooperators receive it. The obstruction of justice offense level
increase occurs more frequently among defendants who are convicted at
trial than defendants who plead guilty, presumably because one method by
which a defendant can be found to have obstructed justice is by lying on
the witness stand during a trial. Over 16.5% of convicted-at-trials
receive a two-level obstruction-of-justice enhancement. Only 1.9% of
cooperators and 3.3% of non-cooperating guilty pleas receive one.
(27.) Preliminary estimations revealed that using dummies for only
the primary drug dealt yielded stronger results than using dummies
representing whether a defendant trafficked a particular drug at all.
(28.) Fiscal-year effects help account for the impact of the 2003
Feeney amendment, which restricted judges' ability to issue
downward departures and significantly reduced the issuance of downward
departures (Freeborn and Hartmann 2010).
(29.) Preliminary estimations of multinomial logit models with
three choice outcomes (provide substantial assistance, plead guilty
without substantial assistance, or go to trial) were in violation of the
independence of irrelevant alternatives assumption.
(30.) The exact methodology is outlined in the Appendix.
(31.) The black dummy is also significantly negative in the
baseline cell specification.
(32.) Standard errors are equal to [MATHEMATICAL EXPRESSION NOT
REPRODUCIBLE IN ASCII]
(33.) Table SI shows results from the underlying OLS log
imprisonment estimations.
(34.) Starr and Rehavi (2012) find that federal prosecutors are
twice as likely to file mandatory-minimum charges against black
defendants as white ones.
(35.) In estimations of Equation (2) where expected sentence was
identified solely by a weapons dummy, a linear control for expected
sentence was insignificant.
(36.) Marginal effects are calculated at the mean values of
right-hand-side variables.
(37.) Maxfield and Kramer (1998), using an admittedly small sample
size, found that "high-level" dealers were less likely to
receive substantial assistance departures than almost all other types of
drug traffickers.
(38.) Since underlying supply and demand are unobservable, only
relative supply and demand can be stated with some level of certainty.
For example, that women have high demand relative to men does not
preclude them from having higher supply than men, but makes clear that
high demand overwhelms any supply differences.
(39.) Some anecdotal evidence suggests that male criminals assume
women have high relative supply in the market for information (e.g.,
Sullivan 2003, 182; Brown 2005, 28).
(40.) The author has a work-in-progress showing that, under
mandatory sentencing guidelines, defendants received significantly more
Minimal/Minor -3 and Minimal -4 adjustments when they faced higher base
offense levels, as long as they did not also receive a substantial
assistance departure.
(41.) I thank Randy Fortenberry for pointing this out.
(42.) Results from the underlying race-specific OLS estimations and
Tobit estimations are available from the author upon request. In the
logit estimations, expected sentences are created via race-specific
Tobit estimations of Equation (1). The race-specific logit estimations
also include acquitted defendants. For each district, I calculate the
share white, black, and Hispanic of defendants who were convicted at
trial, and assume that defendants acquitted at trials have the same
shares. Each acquitted defendant is assigned right-hand-side variable
values equal to means of same-district, same-race defendants who were
convicted at trial.
(43.) Relative demand for women appears to be highest among
Hispanics and lowest among whites. When controlling for expected
sentence using the mandatory minimum specification, Hispanic women
receive 55% higher prices than Hispanic men and receive sentence
reductions 50% more often. Among whites, prices are 25% higher for women
and sentence reductions 27% more likely. Among blacks, prices for women
are 40% higher and sentence reductions 39% more likely.
ANDREW W. NUTTING, The author thanks Ronald G. Ehrenberg, George
Jakubson, Andy Sfekas, Rumki Saha, Ben Cowan, Beth Freeborn, Todd
Sorensen, and audiences at the Food and Drug Administration, Federal
Trade Commission, U.S. Census, the University of Idaho, and Washington
State University for comments regarding this paper. He also thanks Mark
Leen for advice regarding federal law, and Carol Murphee at CISER and
especially Hamilton College for data-related assistance.
Nutting: Assistant Professor, Department of Economics, Bryn Mawr
College, 101 N Merion Ave, Bryn Mawr, PA 19010. Phone 1-610-526-5407,
Fax 1-610-526-5655, E-mail anutting@brynmawr.edu
TABLE 1
Federal Sentencing Guidelines
I II III
0-1 points 2-3 4-6
Zone A 1 0-6 0-6 0-6
2 0-6 0-6 0-6
3 0-6 0-6 0-6
4 0-6 0-6 0-6
5 0-6 0-6 1-7
6 0-6 1-7 2-8
7 0-6 2-8 4-10
8 0-6 4-10 6-12
Zone B 9 4-10 6-12 8-14
10 6-12 8-14 10-16
Zone C 11 8-14 10-16 12-18
12 10-16 12-18 15-21
Zone D 13 12-18 15-21 18-24
14 15-21 18-24 21-27
15 18-24 21-27 24-30
16 21-27 24-30 27-33
17 24-30 27-33 30-37
18 27-33 30-37 33-41
19 30-37 33-41 37-46
20 33-41 37-46 41-51
21 37-46 41-51 46-57
22 41-51 46-57 51-63
23 46-57 51-63 57-71
24 51-63 57-71 63-78
25 57-71 63-78 70-87
26 63-78 70-87 78-97
27 70-87 78-97 87-108
28 78-97 87-108 97-121
29 87-108 97-121 108-135
30 97-121 108-135 121-151
31 108-135 121-151 135-168
32 121-151 135-168 151-188
33 135-168 151-188 168-210
34 151-188 168-210 188-235
35 168-210 188-235 210-262
36 188-235 210-262 235-293
37 210-262 235-293 262-327
38 235-293 262-327 292-365
39 262-327 292-365 324-405
40 292-365 324-405 360-life
41 324-405 360-life 360-life
42 360-life 360-life 360-life
43 life life life
IV V VI
7-9 10-12 13+
Zone A 1 0-6 0-6 0-6
2 0-6 0-6 1-7
3 0-6 2-8 3-9
4 2-8 4-10 6-12
5 4-10 6-12 9-15
6 6-12 9-15 12-18
7 8-14 12-18 15-21
8 10-16 15-21 18-24
Zone B 9 12-18 18-24 21-27
10 15-21 21-27 24-30
Zone C 11 18-24 24-30 27-33
12 21-27 27-33 30-37
Zone D 13 24-30 30-37 33-41
14 27-33 33-41 37-46
15 30-37 37-46 41-51
16 33-41 41-51 46-57
17 37-46 46-57 51-63
18 41-51 51-63 57-71
19 46-57 57-71 63-78
20 51-63 63-78 70-87
21 57-71 70-87 77-96
22 63-78 77-96 84-105
23 70-87 84-105 92-115
24 77-96 92-115 100-125
25 84-105 100-125 110-137
26 92-115 110-137 120-150
27 100-125 120-150 130-162
28 110-137 130-162 140-175
29 121-151 140-175 151-188
30 135-168 151-188 168-210
31 151-188 168-210 188-235
32 168-210 188-235 210-262
33 188-235 210-262 235-293
34 210-262 235-293 262-327
35 235-293 262-327 292-365
36 262-327 292-365 324-405
37 292-365 324-405 360-life
38 324-405 360-life 360-life
39 360-life 360-life 360-life
40 360-life 360-life 360-life
41 360-life 360-life 360-life
42 360-life 360-life 360-life
43 life life life
Note: All ranges are of months imprisonment.
TABLE 2
Summary Statistics
All (n = 145,399)
1 2 3 4
Mean SD Min Max
Substantial assistance departure 0.28 0.45 0 1
Convicted at trial 0.05 0.21 0 1
Black 0.29 0.46 0 1
Hispanic 0.43 0.50 0 1
Other race 0.02 0.14 0 1
Months imprisonment
Substantially assist 55.8 50.1 0 666
Plead guilty, no substantial
assistance 68.8 67.0 0 990
Convicted at rial 177.1 114.7 0 990
Female 0.13 0.34 0 1
Age 32.6 9.8 17 90
Number of dependents 1.73 1.76 0 6
Legal alien 0.12 0.32 0 1
Illegal alien 0.13 0.34 0 1
Non-U.S. resident 0.05 0.23 0 1
Some high school 0.31 0.46 0 1
High school graduate 0.31 0.46 0 1
Some college 0.15 0.36 0 1
College graduate 0.04 0.19 0 1
Private attorney 0.11 0.31 0 1
Court appointed counsel 0.23 0.42 0 1
Federal public defender 0.12 0.33 0 1
Cocaine 0.23 0.42 0 1
Crack 0.22 0.41 0 1
Marijuana 0.30 0.46 0 1
Heroin 0.08 0.27 0 1
Methamphetamine 0.09 0.29 0 1
Other drug 0.08 0.27 0 1
Number of drugs 1.29 0.87 1 5
Minimal -4 0.05 0.21 0 1
Minimal/minor -3 0.02 0.14 0 1
Minor -2 0.18 0.39 0 1
Aggravating +2 0.03 0.18 0 1
Aggravating +3 0.02 0.13 0 1
Aggravating +4 0.02 0.14 0 1
Weapon 0.12 0.33 0 1
Criminal history category 2.10 1.56 1 6
White Black
(n = 36,850) (n = 42,495)
5 6 7 8
Mean SD Mean SD
Substantial assistance departure 0.39 0.49 0.32 0.47
Convicted at trial 0.04 0.19 0.07 0.26
Black
Hispanic
Other race
Months imprisonment
Substantially assist 43.3 42.5 75.3 57.0
Plead guilty, no substantial
assistance 62.7 61.2 102.9 79.4
Convicted at rial 150.5 113.3 207.0 112.7
Female 0.17 0.38 0.11 0.31
Age 35.4 10.5 31.0 8.7
Number of dependents 1.21 1.54 1.80 1.74
Legal alien 0.02 0.14 0.04 0.19
Illegal alien 0.02 0.13 0.03 0.17
Non-U.S. resident 0.01 0.11 0.02 0.14
Some high school 0.25 0.43 0.36 0.48
High school graduate 0.40 0.49 0.36 0.48
Some college 0.21 0.40 0.17 0.37
College graduate 0.05 0.21 0.02 0.15
Private attorney 0.14 0.35 0.09 0.28
Court appointed counsel 0.22 0.41 0.18 0.38
Federal public defender 0.08 0.27 0.09 0.29
Cocaine 0.17 0.37 0.23 0.42
Crack 0.05 0.23 0.61 0.49
Marijuana 0.32 0.47 0.07 0.26
Heroin 0.03 0.18 0.06 0.24
Methamphetamine 0.24 0.43 0.00 0.07
Other drug 0.19 0.39 0.02 0.13
Number of drugs 1.29 0.85 1.36 0.93
Minimal -4 0.03 0.18 0.04 0.19
Minimal/minor -3 0.02 0.13 0.01 0.10
Minor -2 0.16 0.36 0.08 0.27
Aggravating +2 0.03 0.18 0.03 0.18
Aggravating +3 0.02 0.12 0.02 0.13
Aggravating +4 0.02 0.13 0.02 0.15
Weapon 0.15 0.35 0.19 0.39
Criminal history category 2.11 1.52 2.82 1.80
Hispanic
(n = 62,518)
9 10
Mean SD
Substantial assistance departure 0.19 0.39
Convicted at trial 0.04 0.19
Black
Hispanic
Other race
Months imprisonment
Substantially assist 48.5 42.5
Plead guilty, no substantial
assistance 53.3 53.7
Convicted at rial 152.5 105.8
Female 0.12 0.32
Age 32.0 9.6
Number of dependents 2.00 1.82
Legal alien 0.23 0.42
Illegal alien 0.28 0.45
Non-U.S. resident 0.10 0.30
Some high school 0.32 0.47
High school graduate 0.21 0.41
Some college 0.11 0.31
College graduate 0.04 0.19
Private attorney 0.11 0.31
Court appointed counsel 0.27 0.44
Federal public defender 0.17 0.38
Cocaine 0.27 0.45
Crack 0.05 0.21
Marijuana 0.45 0.50
Heroin 0.11 0.32
Methamphetamine 0.07 0.25
Other drug 0.05 0.22
Number of drugs 1.25 0.85
Minimal -4 0.07 0.25
Minimal/minor -3 0.03 0.16
Minor -2 0.28 0.45
Aggravating +2 0.03 0.17
Aggravating +3 0.01 0.12
Aggravating +4 0.02 0.12
Weapon 0.07 0.25
Criminal history category 1.61 1.19
TABLE 3
Mandatory Minimum Sentences, by Race
Months All White Black Hispanic
0 0.36 0.43 0.24 0.40
60 0.30 0.30 0.31 0.30
120 0.32 0.26 0.41 0.29
240+ 0.02 0.01 0.03 0.01
TABLE 4
Tobit Estimation Results
1 2 3
Sub. Asst. Plead 3 Trial
Black 9.49 *** 6.30 *** 6.90 *
[0.62] [0.57] [3.57]
Hispanic 11.34 *** 11.09 *** 19.81 ***
[0.61] [0.50] [3.54]
Other race 5.22 *** -0.69 -2.25
[1.48] [1.21] [7.71]
Legal alien 5.80 *** 6.47 *** 5.48
[0.78] [0.52] [3.42]
Illegal alien 8.18 *** 8.60 *** 8.12 **
[0.82] [0.50] [3.96]
Non-U.S. resident 9.21 *** 9.15 *** 11.88 **
[1.13] [0.68] [4.64]
Female -14.10 *** -11.42 *** -19.47 ***
[0.55] [0.47] [3.53]
Age 0.15 *** 0.19 *** 0.42 ***
[0.02] [0.02] [0.10]
Number dependents 0.86 *** 1.18 *** 2.04 ***
[0.11] [0.09] [0.56]
Some high school -0.41 0.86 ** 0.07
[0.64] [0.43] [3.13]
High school graduate -1.15 * 2.23 *** 1.49
[0.64] [0.46] [3.15]
Some college -3.42 *** 1.49 *** 4.18
[0.71] [0.54] [3.50]
College graduate -4.29 *** -2.53 *** -2.79
[1.15] [0.87] [5.01]
Private attorney 2.24 *** 3.52 *** 11.25 ***
[0.80] [0.66] [4.34]
Ct-appointed counsel 1.17 -3.34 *** 7.98 **
[0.75] [0.56] [4.04]
Federal public defender -5.73 *** -9.46 *** -17.59 ***
[0.77] [0.49] [4.21]
Cocaine 19.19 *** 27.78 *** 61.64 ***
[0.60] [0.49] [3.27]
Crack 32.25 *** 51.14 *** 88.71 ***
[0.72] [0.62] [3.71]
Heroin 14.68 *** 17.00 *** 37.79 ***
[0.94] [0.67] [5.10]
Methamphetamine 26.68 *** 39.18 *** 71.45 ***
[0.74] [0.69] [4.46]
Other drug 20.32 *** 26.10 *** 56.80 ***
[0.78] [0.68] [4.55]
Number of drugs 0.86 *** 0.93 *** 0.72
[0.24] [0.21] [1.06]
Minimal -4 -16.88 *** -20.86 *** -53.94 ***
[1.18] [0.77] [7.00]
Minimal/minor -3 -12.38 *** -13.21 *** -36.79 ***
[1.64] [1.08] [9.05]
Minor -2 -10.24 *** -11.74 *** -27.19 ***
[0.61] [0.46] [3.63]
Aggravating +2 30.91 *** 51.00 *** 60.66 ***
[0.97] [0.91] [4.00]
Aggravating +3 45.37 *** 87.87 *** 101.79 ***
[1.19] [1.40] [5.69]
Aggravating +4 67.36 *** 124.14 *** 139.00 ***
[1.15] [1.31] [4.59]
Weapon 25 40.48 *** 63.72 ***
10.53] [0.51] [2.44]
Criminal history II 12.35 *** 14.99 *** 23.50 ***
[0.57] [0.49] 13.07]
Criminal history III 22.12 *** 2.40 *** 40.21 ***
[0.55] [0.47] [2.96]
Criminal history IV 31.34 *** 34.08 *** 62.96 ***
[0.76] [0.65] [4.01]
Criminal history V 42.34 *** 44.56 *** 65.94 ***
[1.03] [0.92] [5.46]
Criminal history VI 66.10 *** 87.47 *** 123.16 ***
[0.69] [0.66] [3.46]
Obs. 41,357 97,043 6,999
Log likelihood -190,503.4 -492,933.4 -40,399.5
Pseudo-[R.sup.2] .07 .07 .06
Controls
Mandatory minimums
Final guideline cell
4 5 6
Sub. Asst. Plead Trial
Black 0.29 *** 4.58 *** -0.58
[0.55] [0.44] [3.05]
Hispanic 6.29 *** 4.45 *** 8.07 ***
[0.54] [0.39] [3.03]
Other race 4.84 *** 0.24 9.25
[1.31] [0.94] [6.60]
Legal alien 4.29 *** 3.83 *** 2.93
[0.69] [0.41] [2.92]
Illegal alien 5.92 *** 4.52 *** 4.66
[0.72] [0.39] [3.38]
Non-U.S. resident 7.50 *** 6.07 *** 8.65 **
[1.00] [0.53] [3.96]
Female -10.83 *** -6.74 *** -12.13 ***
[0.49] [0.36] [3.02]
Age 0.03 * 0.07 *** 0.12
[0.02] [0.011 [0.09]
Number dependents 0.58 *** 0.59 *** 1.32 ***
[0.10] [0.07] [0.48]
Some high school -1.24 ** 0.37 1.64
[0.57] [0.34] [2.67]
High school graduate -2.20 *** 0.49 0.54
[0.56] [0.35] [2.69]
Some college -3.91 *** -0.13 2.12
[0.62] [0.42] [2.99]
College graduate -3.82 *** -1.87 *** -0.28
[1.01] [0.67] [4.28]
Private attorney 1.87 *** 0.41 7.10 *
10.71] [0.51] [3.71]
Ct-appointed counsel 2.45 *** -0.66 8.69 **
10.661 [0.44] [3.44]
Federal public defender -2.71 *** -3.45 *** -8.03 **
[0.68] [0.38] [3.60]
Cocaine 8.80 *** 9.03 *** 30.88 ***
[0.54] [0.39] [2.88]
Crack 15.91 *** 20.24 *** 46.52 ***
[0.66] [0.50] [3.30]
Heroin 8.15 *** 5.97 *** 16.26 ***
[0.83] [0.53] [4.38]
Methamphetamine 13.19 *** 15.05 *** 33.97 ***
[0.67] [0.55] [3.90]
Other drug 13.03 *** 13.00 *** 33.54 ***
[0.71] [0.54] [3.95]
Number of drugs 0.73 *** 0.77 *** 0.49
[0.21] [0.16] [0.91]
Minimal -4 -15.52 *** -16.69 *** -47.39 ***
[1.05] [0.60] [5.98]
Minimal/minor -3 -13.57 *** -12.18 *** -31.00 ***
[1.45] [0.84] [7.73]
Minor -2 -10.67 *** -9.82 *** -26.91 ***
[0.54] [0.35] [3.11]
Aggravating +2 24.14 *** 31.69 *** 47.03 ***
[0.87] [0.72] [3.42]
Aggravating +3 33.91 *** 56.56 *** 77.99 ***
[1.07] [1.09] [4.88]
Aggravating +4 52.82 *** 90.19 *** 112.90 ***
[1.03] [1.02] [3.95]
Weapon 2.17 *** 31.23 *** 59.45 ***
[0.49] [0.40] [2.09]
Criminal history II 9.1g *** 7.94 *** 14.47 ***
[0.59] [0.41] [2.64]
Criminal history III 18.12 *** 13.95 *** 27.70 ***
[0.57] [0.39] [2.58]
Criminal history IV 27.96 *** 25.15 *** 48.15 ***
[0.74] [0.53] [3.46]
Criminal history V 39.36 *** 37.56 *** 56.25 ***
[0.96] [0.73] [4.67]
Criminal history VI 64.04 *** 79.34 *** 119.85 ***
[0.68] [0.53] [2.99]
Obs. 41,357 97,043 6,999
Log likelihood -185.610.2 -468,879.1 -39.290.4
Pseudo-[R.sup.2] .10 .12 .09
Controls
Mandatory minimums x x x
Final guideline cell
7 8 9
Sub. Asst. Plead Trial
Black 3.22 *** 1.26 *** -4.78 **
[0.47] [0.28] [2.04]
Hispanic 3.46 *** 0.86 *** -2.31
[0.47] [0.25] [2.03]
Other race 4.27 *** 0.30 -5.44
[1.13] [0.60] [4.45]
Legal alien 3.95 *** 1.55 *** -0.02
[0.59] [0.26] [1.95]
Illegal alien 5.07 *** 1.71 *** -0.58
[0.62] [0.25] [2.26]
Non-U.S. resident 5.71 *** 2.26 *** 0.37
[0.85] [0.34] [2.64]
Female -8.85 *** -4.69 *** -7.48 ***
[0.42] [0.23] [2.02]
Age -0.03 ** -0.02 ** -0.15 ***
[0.02] [0.01] [0.06]
Number dependents 0.24 *** 0.09 ** 0.27
[0.09] [0.04] [0.32]
Some high school -1.12 ** -0.12 1.38
[0.49] [0.21] [1.78]
High school graduate -1.98 *** 0.06 -2.68
[0.48] [0.22] [1.801
Some college -3.48 *** -0.92 *** -0.42
[0.54] [0.27] [2.00]
College graduate -3.44 *** -119 *** -1.43
[0.87] [0.43] [2.86]
Private attorney 0.91 -0.40 3.12
[0.61] [0.33] [2.48]
Ct-appointed counsel 2.27 *** -0.16 3.55
[0.57] [0.28] [2.30]
Federal public defender 0.35 -0.50 ** 1.61
[0.58] [0.24] [2.42]
Cocaine 1.79 *** -0.12 1.70
[0.48] [0.26] [2.00]
Crack 3.43 *** 0.71 ** 4.00 *
[0.58] [0.33] [2.30]
Heroin 4.52 *** 0.43 5.35 *
[0.72] [0.34] [2.97]
Methamphetamine 3.10 *** 0.56 0.42
[0.59] [0.36] [2.68]
Other drug 2.66 *** -0.55 -2.82
[0.62] [0.35] [2.74]
Number of drugs 0.58 *** 0.11 0.53
[0.18] [0.10] [0.61]
Minimal -4 _2.41 *** -3.01 *** -9.90 **
[0.93] [0.40] [4.04]
Minimal/minor -3 -5.95 *** -3.78 *** -15.54 **
[1.46] [0.62] [6.24]
Minor -2 -3.22 *** -.1 *** -3.91 *
[0.491 [0.24] [2.14]
Aggravating +2 6.47 *** 3.57 *** 5.94 **
[0.77] [0.47] [2.34]
Aggravating +3 2.87 ** -0.04 -6.39
[1.12] [0.74] [4.86]
Aggravating +4 13.69 *** 6.56 *** 20.79 ***
[1.05] [0.72] [2.99]
Weapon 8.01 *** 13.39 *** 33.79 ***
[0.45] [0.26] [1.44]
Criminal history II
Criminal history III
Criminal history IV
Criminal history V
Criminal history VI
Obs. 41,357 97,043 6,999
Log likelihood -179,487.1 -426,025.7 -36,391.0
Pseudo-[R.sup.2] .13 .20 .15
Controls
Mandatory minimums x x x
Final guideline cell x x x
TABLE 5
Substantial Assistance Reductions
Sentence Log Sentence
Reduction Reduction
1 2 3 4
Black -3.19 *** -1.71 ** -0.20 *** 0.11 ***
[0.84] [0.70] [0.04] [0.04]
Hispanic -0.25 -1.83 *** -0.23 *** -0.16 ***
[0.79] [0.67] [0.04] [0.04]
Other race -5.91 *** -4.60 *** -0.37 *** -0.36 ***
[1.91] [1.61] [0.10] [0.10]
Legal alien 0.67 -0.46 -0.22 *** -0.18 ***
[0.94] [0.80] [0.04] [0.04]
Illegal alien 0.42 -1.31 -0.32 *** -0.29 ***
[0.96] [0.82] [0.04] [0.04]
Non-U.S. resident -0.06 -1.43 -0.30 *** -0.26 ***
[1.32] [1.13] [0.05] [0.05]
Female 2.68 *** 4.09 *** 0.34 *** 0.32 ***
[0.73] [0.61] [0.04] [0.04]
Age 0.04 0.04 * 0.00 0.00
[0.03] [0.02] [0.00] [0.00]
Number dependents 0.32 ** 0.01 0.00 0.00
[0.14] [0.12] [0.01] [0.01]
Some high school 1.27 1.61 ** -0.01 0.02
[0.771 [0.66] [0.03] 10.03]
High school graduate 3.38 *** 269 *** 0.08 ** 0.09 ***
[0.78] [0.66] [0.03] [0.03]
Some college 4.90 *** 3.78 *** 0 0.11 ***
[0.89] [0.75] [0.04] [0.04]
College graduate 1.76 1.95 0.15 ** 0.14 **
[1.44] [1.22] [0.07] [0.07]
Private attorney 1.28 -1.47 * 0.02 -0.05
[1.04] [0.88] [0.05] [0.05]
Ct-appointed counsel -4.51 *** -3.11 *** -0.17 *** -0.17 ***
[0.941 [0.79] [0.04] [0.04]
Federal public -3.73 *** -0.75 0.03 0.05
defender [0.91] [0.78] [0.04] [0.04]
Cocaine 8.59 *** 0.23 -0.07 * -0.09 **
[0.78] [0.67] [0.04] [0.04]
Crack 18.89 *** 4.33 *** -0.08 * -0.11 **
[0.95] [0.83] [0.04] [0.04]
Heroin 2.32 ** -2.17 ** -0.12 ** -0.18 ***
[1.15] [0.98] [0.06] (0.05]
Methamphetamine 12.50 *** 1.86 ** -0.08 * -0.08 *
[1.01] [0.87] [0.05] [0.04]
Other drug 5.7g *** -0.04 -0.25 *** -0.31 ***
[1.04] [0.89] [0.05] [0.05]
Number of drugs 0.07 0.03 -0.02 * -0.02
[0.32] [0.27] [0.01] [0.01]
Minimal -4 -3.98 *** -1.17 0.22 *** 0.26 ***
[1.41] [1.20] [0.08] [0.08]
Minimal/minor -3 -0.83 1.39 0.40 *** 0.48 ***
[1.961 [1.67] [0.11] [0.10]
Minor -2 -1.50 ** 0.85 0.15 *** 0.24 ***
[0.76] [0.65] [0.04] [0.04]
Aggravating +2 20.09 *** 7.55 *** -0.16 *** -0.28 ***
[1.33] [1.13] [0.04] [0.04]
Aggravating +3 42.50 *** 22.66 *** 0.05 -0.09 *
[1.84] [1.53] [0.05] [0.05]
Aggravating +4 56.78 *** 37.36 *** -0.04 -0.12 **
[1.74] [1.45] [0.05] [0.05]
Weapon 15.30 *** 10.05 *** -0.09 *** -0.13 ***
[0.74] [0.63] [0.03] [0.03]
Criminal history II 2.64 *** -1.24 * -0.17 *** -0.26 ***
[0.76] [0.72] [0.03] [0.04]
Criminal history III 0.27 -4.17 *** -0.28 *** -0.37 ***
[0.72] [0.69] [0.031 [0.03]
Criminal history IV 2.75 *** -2.81 *** -0.33 *** -0.44 ***
[1.00] [0.91] [0.03] [0.04]
Criminal history V 2.22 -1.80 -0.40 *** -0.50 ***
[1.38] [1.20] [0.04] [0.04]
Criminal history VI 21.37 *** 15.29 *** -0.29 *** -0.44 ***
[0.95] [0.86] [0.03] [0.04]
Control
Mandatory
minimums x x
TABLE 6
Marginal Effect of Logit Estimations
1 2
Black -0.09 *** -0.11 ***
[0.00] [0.00]
Hispanic -0.08 *** -0.10 ***
[0.00] [0.00]
Other race -0.07 *** -0.07 ***
[0.01] [0.01]
Legal alien -0.05 *** -0.06 ***
[0.00] [0.00]
Illegal alien -0.09 *** -0.10 ***
[0.00] [0.00]
Non-U.S. resident -0.08 *** -0.09 ***
[0.01] [0.01]
Female 0.08 *** 0.10 ***
[0.00] [0.00]
Age (/10) -0.06 *** -0.01 ***
[0.00] [0.00]
Dependents (/10) 0.04 *** 0.03 ***
[0.01] [0.01]
Some high school 0.04 *** 0.04 ***
[0.001 [0.00]
High school graduate 0.06 *** 0.05 ***
[0.00] [0.00]
Some college 0.09 *** 0.09 ***
[0.00] [0.00]
College graduate 0.06 *** 0.07 ***
[0.01] [0.01]
Private attorney 0.04 *** 0.03 ***
[0.01] [0.01]
Ct-appointed counsel 0.01 0.01 **
[0.00] [0.00]
Federal public defender -0.06 *** -0.05 ***
[0.00] [0.00]
Cocaine 0.07 *** 0.02 ***
[0.00] [0.00]
Crack 0.06 *** -0.03 ***
[0.00] [0.01]
Heroin 0.03 *** -0.01
[0.01] [0.01]
Methamphetamine 0.08 *** 0.01
[0.00] [0.01]
Other drug 0.06 *** 0.01 **
[0.01] [0.01]
Number of drugs 0.00 0.00
[0.00] [0.00]
Minimal -4 -0.06 *** -0.01
[0.01] [0.01]
Minimal/minor -3 -0.02 * 0.01
[0.01] [0.01]
Minor -2 -0.02 *** 0.01 **
[0.00] [0.00]
Aggravating +2 0.02 *** -0.05 ***
[0.01] [0.01]
Aggravating +3 0.12 *** 0.02 **
[0.01] [0.01]
Aggravating +4 0.07 *** -0.05 ***
[0.01] [0.01]
Criminal history II 0.03 *** 0.00
[0.00] [0.00]
Criminal history III 0.03 *** -0.01 ***
[0.00] [0.00]
Criminal history IV 0.02 *** -0.04 ***
[0.00] [0.01]
Criminal history V 0.03 *** -0.04 ***
[0.01] [0.01]
Criminal history VI 0.06 *** -0.05 ***
[0.00] [0.01]
Obs. 146.941 146.941
Log likelihood -76,981.8 -75,972.6
Pseudo-[R.sup.2] .12 .13
Expected sentence controls Cubic
Mandatory minimum specification X
TABLE 7
The Market for Information: No Controls for Expected Sentence in
Logit Estimation
Quantity
Price Low Middle High
High Minimal -4 Female
Minimal/minor -3 High school graduate
Minor -2 Some college
College graduate
Middle Age Number of dependents
Federal public Some high school
defender
Private attorney
Aggravating +3 and +4
Low Black Court-appointed Cocaine
counsel
Hispanic Number of drugs Crack
Other race Heroin
Legal alien Methamphetamine
Illegal alien Other drug
Non-U.S. resident Aggravating +2
Criminal history II-VI
TABLE 8
The Market for Information: Controls for Expected Sentence
(Mandatory Minimum Specification) in Logit Estimation
Quantity
Price Low Middle High
High Minimal -4 Female
Minimal/minor -3 High school graduate
Some college
College graduate
Minor -2
Middle Age Number of dependents
Federal public Some high school
defender
Private attorney
Low Black Heroin Court-appointed
counsel
Hispanic Methamphetamine Cocaine
Other race Criminal history Other drug
II
Legal alien Aggravating +3
Illegal alien
Non-U.S. resident
Crack
Aggravating +2
and +4
Criminal history
III-VI
TABLE 9
Market for Substantial Assistance--Whites
High demand Female Female
High school graduate High school graduate
Some college Some college
Minimal -4
Low demand Non-U.S. resident
Crack
Other drug
Aggravating +2 and +4
Criminal history II-VI
High supply Court-appointed Court-appointed
counsel counsel
Cocaine Cocaine
Crack Methamphetamine
Other drug
Aggravating +2 and +4
Criminal history III, VI
Low supply Minimal/mnor -3
Expected None Cubic
sentence
controls
TABLE 10
Market for Substantial Assistance-Blacks
1 2
High demand Female Female
Aggravating +3 Minor -2
Low demand Other drug
Aggravating +2
Criminal history III-VI
High supply Other drug Private attorney
Court-appointed counsel Court-appointed counsel
Criminal history II-VI
Low supply Minimal/minor -3
Expected None Cubic
sentence
controls
TABLE 11
Market for Substantial Assistance--Hispanics
1 2
High demand Female Female
Some college Some college
Low demand Legal alien Legal alien
Illegal alien Illegal alien
Non-U.S. resident Non-U.S. resident
Heroin
Aggravating +2
Criminal history IV-VI
High supply Number of drugs Number of drugs
Criminal history II-IV, VI Aggravating +3
Low supply Minor -2 Minor -2
Expected None Cubic
sentence
controls