Moving out of the house: an analysis of congressional quits.
Schansberg, D. Eric
I. INTRODUCTION
Tenure in the House may end by electoral defeat, retirement, the
pursuit of higher office, or death. While the literature looking at the
possibility of defeat in a congressional election is extensive, studies
looking at other types of departures from the House or Senate are
few.(1) Schlesinger's "ambition theory" [1966] was the
first attempt to explain and document, among other things, House
members' moves to the Senate. Others have followed Schlesinger with
somewhat more rigorous theoretical frameworks and limited empirical work
on the pursuit of certain higher offices.(2) In their work on the
congressional labor market, Reed and Schansberg [1990; 1992; 1994] have
noted the importance of all types of departures as determinants of
congressional tenure.(3) Despite these contributions, little has been
done to empirically investigate voluntary departures, and nothing has
been done to model the complete range of choices confronting a House
member entering an election.
Have voluntary departures been overlooked for the most part because
these occurrences are relatively infrequent? It turns out that voluntary
departures are more numerous than involuntary departures. Looking at all
exiting representatives since 1960, only 39 percent failed to be
reelected, while 30 percent retired, 23 percent left to pursue higher
office, and 8 percent died. Further, Reed and Schansberg [1992] note
that since 1977, defeats in reelection bids account for only 43 percent
of all departures by representatives with fewer than five terms in
office, although reelection woes are often assumed to be the dominant
cause of leaving Congress.
Further evidence to the importance of voluntary departures is seen in
Figure 1, which provides a graphical representation of voluntary and
involuntary departures since 1960. Voluntary departures are comprised of
members of the House who resign their office to work elsewhere or
retire, and those who leave to pursue higher office. Involuntary
departures are simply those who are defeated in either their
party's primary or the general election.(4) In every election cycle
since 1969, more members have left the House voluntarily than
involuntarily. Because they are so numerous, a comprehensive
understanding of the turnover in Congressional membership requires a
more thorough investigation of voluntary departures.
There are noteworthy differences in voluntary departure behavior
between the parties. Table I presents the number of representatives of
each party who have departed since the 87th Congress and their reason
for leaving.(5) Note that Republicans have left to pursue higher office
more often than their Democratic colleagues; in fact, it is the only
type of departure where Republicans leave more frequently than
Democrats. This is especially apparent since the 91st Congress: since
then 31 percent of all Republican departures have been to pursue higher
office while only 22 percent of Democratic stays ended for the same
reason. A model that looks at voluntary departures should also address
the question of why Republicans have left to pursue higher office more
often than their Democratic colleagues.
TABLE I
Number of Departures by Type and Party for the 87th-101st Congresses
DEFEATED RETIRED HIGHER OFFICE DIED
D R D R D R D R
87th 26 6 9 14 9 1 8 7
88th 25 13 7 10 10 6 4 1
89th 13 37 12 12 8 5 4 4
90th 46 4 15 5 3 3 3 3
91st 10 3 13 3 4 13 2 1
92nd 11 11 7 6 3 20 6 5
93rd 14 7 14 16 10 5 3 2
94th 8 39 13 20 10 5 1 2
95th 10 5 22 7 17 10 4 0
96th 19 5 23 8 8 10 4 2
97th 31 5 23 8 3 8 3 1
98th 9 30 12 9 8 11 4 1
99th 17 3 3 7 7 6 2 1
100th 2 6 5 8 14 11 2 4
101st 2 6 10 4 7 9 4 1
87-90th 110 60 43 41 30 15 19 15
(54%) (46%) (21%) (31%) (15%) (11%) (9%) (11%)
91-101st 133 120 145 96 91 108 35 20
(33%) (35%) (36%) (28%) (23%) (31%) (9%) (6%)
TOTAL 243 180 188 137 121 123 54 35
(40%) (38%) (31%) (29%) (20%) (26%) (9%) (7%)
Note: Percentages are calculated as a percentage of the party's total for each
type of departure. They may not sum to 100 percent because of rounding.
Source: Congressional Quarterly Almanac.
Moreover, voluntary departures represent the greatest possibility for
a change in party control of a given congressional seat and, thus,
overall party strength. Since 1960, in races for "open
seats"--where the incumbent has voluntarily left--27 percent of the
seats switched parties; in races where the seat was occupied by an
incumbent, only 5 percent of the seats switched parties. With the
oft-cited advantages of incumbency, a race between two non-incumbents
represents the best opportunity for one party to wrest control of a seat
from the other party.(6) Thus, any patterns in voluntary departure
behavior within the parties may influence the extent of the power of the
two parties.
In the context of labor economics, we should be concerned with the
level of voluntary departures--quit behavior--and how this behavior
changes over time. The average quit rate for the House from 1960-1990
was 4.4 percent per year and, referring to Figure 1 again, it is clear
that the number of voluntary departures has varied considerably over
time. Among other things, voluntary departures are a function of total
compensation, including wages and other job characteristics. This is
especially relevant in the face of recent congressional complaints about
"low pay" and the pay raise that soon followed. Thus a
question arises: is congressional quit behavior affected more by
pecuniary or non-pecuniary aspects?
Since voluntary departures by representatives are important and have
not been adequately investigated, we are provided with the opportunity
to more carefully analyze the full range of decisions that are available
to members of the House. This paper has three primary purposes: (1) to
establish a theoretical framework to model all of the choices a
representative faces at the end of any given term, (2) to measure the
impact of different variables that affect a representative's
decision to voluntarily leave his House seat, and (3) to explain why
Republicans have been more likely to pursue higher office than their
Democratic colleagues. Section II presents the model, establishing a
framework from which we can analyze the impact of variables on a
representative's decision. Section III presents the estimation of
the model using non-ordered multinomial logit and data from 1960-1990.
Section IV analyzes the results and provides an explanation for the
observation that House Republicans pursue higher office more frequently
than Democrats. The paper concludes with a discussion of some
ramifications of these findings.
II. THE MODEL
A member of the House faces three alternatives at the end of his
current term: to resign in order to retire or work elsewhere (R), to run
for reelection to House (C), or to pursue a higher office (H). Let
[X.sub.t] represent the choice made at the end of the period t; let
[S.sub.t+1] represent the state occupied by the representative in the
next period. A representative's decision is then contingent on the
expected value of those alternatives, given by equations (1)-(3):
(1) V([X.sub.t] = C) = [P.sub.cc] [Rho] W([S.sub.t+1] = C) +
[p.sub.CR] [Rho] W([S.sub.t+1] = R) - T[C.sub.c],
(2) V([X.sub.t] = H) = [p.sub.HH] [Rho] W([S.sub.t+1] = H) +
[p.sub.HR] [Rho] W([S.sub.t+1] = R) - T[C.sub.H],
(3) V([X.sub.t] = R) = [Rho] W([S.sub.t+1] = R),
where
[p.sub.ij] = the probability with choice i of moving to state j,(7)
T[C.sub.i] = the total cost of pursuing choice i,
[Rho] = a constant discount factor.
Given the value of the possible choices, the probabilities of making
the respective choices are defined in equations (4)-(6):
(4) Pr([X.sub.t] = C) = Pr{[V([X.sub.t] = C)] [is greater than]
max[V([X.sub.t] = H), V([X.sub.t] = R)]},
(5) Pr([X.sub.t] = H) = Pr{[V([X.sub.t] = [is greater than]
max[V([X.sub.t] = C), V([X.sub.st] = R)]},
(6) Pr([X.sub.t] = R) = 1 - Pr([X.sub.t] = C) - Pr([X.sub.t] = H).
Thus, a representative's decision is ultimately based on his
estimate of the net present value of his options. As the benefits, costs
and probabilities of success change, the values of the alternatives are
altered and particular choices become more/less likely. If, for example,
the benefits of holding higher office were to increase, W([S.sub.t+1] =
H) and V([X.sub.t] = H) would increase and moves to higher office would
be more likely, ceteris paribus. In addition, continuing in the House
and retirement become relatively less attractive and, thus, less
probable.(8)
The next step is to look at the variables that affect the V's.
Equations (7a)-(7e) give the parameters that are important to the
representative's choice, expressed as a function of general
variables.
(7a) [p.sub.CC] = f(scandals--brand name quality, strength of
challenger).
(7b) [p.sub.HH] = f(scandals--brand name quality, opportunities to
achieve higher office ex ante).
(7c) W([S.sub.t+1] = C) = f(power in House seat).
(7d) W(S.sub.t+1] = R) = f(age, opportunities to achieve appointed
higher office ex post--in the case of failing in choice H).
(7e) TC = f(scandals--brand name quality, ease of opportunities to
achieve higher office ex ante, amount of previously accumulated brand
name capital).
Two things warrant some discussion. The cost of pursuing elective office is equivalent to the amount of "brand name" capital to
be purchased (the cost of political advertising) in the pursuit of that
office. (As I shall discuss in the next section, brand name capital can
also be previously acquired from other sources.) If the agent has a
large stock of brand name capital entering an election, the costs of
continuing in the House and of pursuing higher office are lower. Thus,
those options would be more likely while retirement would be less
likely.
Finally, while notationally inconvenient, the above model can be
amended to allow for finite-lived agents.(9) Accordingly, it can be
demonstrated that as a representative's time horizon shrinks, age
becomes a factor and retirement becomes more likely. While the costs and
benefits of holding office are important, the increasing opportunity
costs of growing pension benefits and the increasing marginal utility of
having fewer and fewer psychic benefits from the leisure one enjoys in
retirement are crucial as well. Note also that to the extent that the
initial pursuit of higher office involves a one-time fixed cost, the
move to higher office can be regarded as an investment. The shorter time
one has to recoup that fixed cost, the less likely one is to make the
investment.
III. DATA, VARIABLES AND METHOD OF ESTIMATION
Since the representative evaluates all three alternatives
simultaneously, non-ordered multinomial logit is an appropriate
empirical framework to determine the impact of the relevant variables on
the agent's decision.(10) The probability of alternative j being
chosen in period t is
(8) P([X.sub.t] = j) = exp([Z[prime].sub.t][[Beta].sub.j])/[summation of] exp([Z[prime].sub.t][[Beta].sub.j) where j = 1 to 3
where
j = 1,2,3 (the three alternatives: C,H,R),
[Z.sub.t] is a vector of observations of independent variables,
[[Beta].sub.j] is a vector of coefficients.
In order to have an exactly identified system, we need to impose a
constraint on the coefficients; one of the three alternatives needs to
be expressed as a function of the other two. Thus, the coefficients on
the determinants to retire are standardized to zero ([[Beta].sub.R] =
0). Further, let [P.sub.jkt] be the odds in favor of choosing
alternative j over alternative k at time t:
(9) [P.sub.jkt] = P[X.sub.jt])/P([X.sub.kt]) =
exp[[X[prime].sub.t]([[Beta].sub.j] - [[Beta].sub.k])].
It follows that
(10) [Delta]log([P.sub.jkt])/[Delta][X.sub.t] = [[Beta].sub.j] -
[[Beta].sub.k].
Equation (10) can be interpreted as the partial derivatives of the
log of the odds of choosing alternative j over alternative k. Thus, if
[[Beta].sub.j] [is greater than] [[Beta].sub.k], then for a change in
[X.sub.t], alternative j becomes relatively more likely than alternative
k. Note that with the imposed constraint of [[Beta].sub.R] = 0, the
[[Beta].sub.j] coefficients by themselves may be interpreted as the
partial derivative of the log of the odds of choosing alternative j over
retirement.
Turning to estimating the model, the general variables from section
II will be represented by the specific variables in equations
(11a)-(11f):
(11a) Quality of Brand Name Capital = f(SCANDAL, WATERGATE).
(11b) Strength of Challenger = f(LSTVTPCT).
(11c) Ex Ante/Post and Ease of Opportunities for Higher Office =
f(PRESIDENT, OPENSEAT).
(11d) Value of a House Seat (Power) = f(PARTYPCT, COMMITTEE, LEADER,
RWAGE).
(11e) Quantity of Brand Name Capital = f(TENURE, TENURESQ, DISTRICT,
REDIST).
(11f) Time Horizon = f(STARTAGE).
Thus, the complete [Z.sub.t] vector of independent variable is
(12) [Z.sub.t] = (SCANDAL, WATERGATE, LSTVTPCT, PRESIDENT, OPENSEAT,
PARTYPCT, COMMITTEE, LEADER, RWAGE, TENURE, TENURESQ, DISTRICT, REDIST,
STARTAGE),
where the variables are defined below.
SCANDAL is a binary variable (1=yes, 0=no) that denotes whether a
representative was investigated by the House for ethics problems or was
involved in some other type of scandal in his private life within the
last two election cycles.(11) In addition, Watergate was considered a
scandal for Republican representatives entering the 1974 elections. One
would expect SCANDAL and WATERGATE to be negatively correlated to
continuing or pursuing higher office and positively related to retiring.
LSTVTPCT is the percentage of the vote that the incumbent received in
the last election and is a proxy for his expected strength in the next
election. If the incumbent had a "tough test" in the last
election, he is more likely to have difficulty in the next election as
well. Thus, one would expect LSTVTPCT to be positively correlated with
the decision to continue and negatively correlated with the decision to
retire.
PRESIDENT is a binary variable that signifies whether or not the
House member and the president are of the same party in period t. If a
party controls the presidency, its representatives have a substantive
advantage over members of the other party when trying to gain an
appointed higher office within an administration--[P.sub.HH], and thus
V([X.sub.t] = H), are higher.(12) Another way the executive branch
influences moves to higher office can be seen in the value of
alternative options if one loses a race for elective higher office. The
party in control of the presidency has more jobs to offer to losing
candidates as consolation prizes.(13)
OPENSEAT is a binary variable that signifies whether the
representative was in a state that had an open seat for the Senate in
the next period.(14) An open seat would represent a relatively low-cost
opportunity to pursue a higher office. Thus, an open seat would
encourage moves to higher office and discourage continuing in the House
or retiring.
PARTYPCT, LEADER, COMMITTEE and RWAGE are components of the value or
power of the seat occupied by a House member. PARTYPCT is the ratio of
the number of House members in the representative's party to the
total number of House members in period t. It represents the relative
power of the member's party which, for individual representatives,
translates into more prestige and greater ability to get legislation
passed. LEADER is a binary variable that measures whether a
representative is a member of "the leadership."(15) COMMITTEE
is a binary variable that denotes whether or not a representative is a
member of the Appropriations, Rules, or Ways and Means committees.(16)
One would expect that PARTYPCT, LEADER and COMMITTEE will be positively
related to continuing and inversely related to retirements and the
pursuit of higher office.(17)
RWAGE is the real wage (in $1000s) that House members were paid in
period t. With a real wage increase, one would expect continuing in the
House to become more attractive while retiring would become less
desirable. Since Senate salaries generally parallel House salaries and
since moves to the Senate constitute the majority of attempts at higher
office, the effect on pursuing any higher office is not expected to be
significant.
The tenure variables (TENURE, TENURESQ) affect the accumulation of
brand name capital. Normal exposure through the media will allow a House
member increased name recognition over the course of his tenure--brand
name capital acquired at no direct cost.(18) Longer tenure enhances an
incumbent's name recognition and his stock of brand name capital.
And although additions to brand name recognition will have a positive
effect, these investments--whether by paid political advertising or by
normal media coverage--are expected to exhibit diminishing marginal
returns (thus, the use of TENURESQ).(19) Ceteris paribus, since more
brand name capital lowers the cost of pursuing another term and higher
office, we expect these alternatives to be more likely while diminishing
the likelihood of retirements.
The variable DISTRICT is the number of districts in the
representative's state. Even though all members of the House
represent approximately the same number of people, those in lower
population states represent a higher proportion of that state's
population and have, therefore, greater statewide name recognition. For
example, the lone representative from Alaska would bring much more
statewide brand name capital to a Senate campaign than his colleagues
from Texas, each of whom is just one of many. One would expect DISTRICT
to be inversely related to the probability that a representative will
pursue higher office. REDIST is a binary variable which notes whether
the representative's decision might have been affected by
redistricting.(20)
STARTAGE is a variable which measures the age of the representative
when he first served in the House.(21) As discussed above, because of
the opportunity costs of retirement, one would expect that
representatives would be less likely to continue and pursue higher
office as they get older. In addition, the fixed cost component of the
initial investment to pursue higher office should further reduce the
likelihood of moves to higher office as the agent gets older.
The dependent variable in the model can take three values: one each
for the choices to continue, to pursue higher office or to retire.(22)
The sample is comprised of observations for all returning House members
from 1960-1990. The initial date of the sample period was somewhat
arbitrary; consideration was shown to counter concerns about a
sufficiently long sample period and getting enough years when a Democrat
served as President.
IV. RESULTS
Table II reports the estimates of the coefficients for the variables
listed in equation (12). The model as a whole is highly significant,
while most of the variables of interest have high degrees of
significance and the expected signs. As expected, the coefficients for
the quality of an incumbent's brand name, SCANDAL and WATERGATE are
negative and highly significant for both continuing and pursuing higher
office. Scandals are cited as a frequent cause for reelection woes, and
clearly most scandals would preclude ambitious House members from
pursuing higher offices. Consequently, scandals are a strong predictor
of the choice to retire.
With respect to the expected quality of a challenger, LSTVTPCT has
the expected sign and is significant. Thus, as the difficulty of the
test that an incumbent faced in the last election cycle increased, he is
less likely to continue and more likely to retire in the current
election cycle. While the effect on continuing was expected, the impact
on higher office was both stronger and more significant than expected. A
likely explanation is that strong, albeit secure, candidates have
popularity outside their district and are thus also likely to pursue
higher office relative to retiring.
The opportunities for a House incumbent to pursue higher office are
clearly important; PRESIDENT and OPENSEAT both have the expected signs
and are statistically significant. Thus, if the president and the House
member are from the same party, the incumbent has more opportunities to
achieve higher office ex ante and ex post (in case he fails to be
elected to higher office). And if there is an open Senate seat
available, the probability of success in that endeavor increases and,
thus, a representative is more likely to leave his House seat.
With respect to the value of the seat that the representative holds,
only PARTYPCT (for the decision to pursue higher office) and RWAGE are
measured with much precision; LEADER and COMMITTEE are both
insignificant with respect to continuing and higher office. In some
sense, the explanatory strength of RWAGE and weakness of the other
variables are surprising since many of the benefits to holding office
are generally considered to be non-pecuniary in nature--power,
perquisites and the enhanced value of post-House employment
opportunities. These results seem to indicate that House members value
pay over power.
Turning to the quantity of brand name capital, both tenure variables
have the right sign for the decision to pursue higher office, although
only TENURESQ is statistically significant. This gives some evidence for
diminishing marginal returns to accumulating brand name capital and
reputation. Surprisingly, the coefficients for the choice to continue
are the wrong sign. One explanation of this lies in the possible
collinearity between tenure and other variables. It could be that
relatively strong effects from other variables are outweighing the
relatively subtle effects of tenure on brand name.
The coefficients for DISTRICT point to representatives from less
populous states being more likely to take advantage of their relatively
large statewide recognition by pursuing higher office. Another
application of this is that a term limit law would be relatively less
attractive to representatives of more populous states. Since they tend
to stay in the House longer, it is more likely that their career paths
would be constrained by term limits. REDIST is negative for the
decisions to continue and to pursue higher office. The former was
expected since reelection suddenly becomes a more difficult prospect.
The latter was unexpected; perhaps one could tell a story that weaker
representatives are more likely to be the "victims" of
redistricting efforts and so would be the least likely to pursue higher
office. Finally, STARTAGE is negative and highly significant as
expected. In addition, the coefficient for the decision to pursue higher
office is larger than the coefficient for continuing, indicating that
starting age affects decisions to pursue higher office more strongly
than it affects the decision to continue.
TABLE II
Coefficients from Multinomial Logit Analysis of the Determinants of Voluntary
Departures from the U.S. House
([X.sub.t] = H) ([X.sub.t] = C)
Higher Office Continue
SCANDAL -1.020(**) -1.010(**)
(3.31) (8.73)
WATERGATE -.980(**) -.810(**)
(4.39) (6.86)
LSTVTPCT .024(**) .018(**)
(3.61) (3.94)
PRESIDENT .153(*) -.031
(1.68) (.51)
OPENSEAT .567(**) -.113
(5.45) (1.41)
PARTYPCT -1.580(*) .466
(1.95) (.83)
LEADER .065 -.070
(.22) (.43)
COMMITTEE .012 .037
(.11) (.54)
RWAGE .121(**) .128(**)
(6.21) (9.95)
TENURE .050 -.252(**)
(.51) (6.27)
TENURESQ -.029(**) .004(*)
(3.51) (1.97)
DISTRICT -.024(**) .005
(3.15) (1.08)
REDIST -.232(*) -.154(*)
(2.10) (2.13)
STARTAGE -.098(**) -.034(**)
(8.86) (4.96)
Note: t-statistics are in parentheses below the coefficients.
* = significant at the .05 level.
** = significant at the .01 level.
Number of observations = 6410.
In addition to supporting most of the earlier hypotheses, these
results also suggest an explanation of why Republicans have been more
likely to take or pursue higher office. Since Republican members of the
House have been the minority party since 1954, it has been more likely
that they would leave since they have had less power and a lower
probability of ever seeing majority status relative to their Democratic
colleagues (PARTYPCT and thus [V.sub.t] = C have been lower). This may
have led many Republican House members to view the House as simply a
stepping stone to higher office.(23) In addition, with recent history
showing a Republican hold on the presidency, Republicans have been more
likely to pursue higher office because the available opportunities were
greater (PRESIDENT and thus [V.sub.t] = H have been greater). Recall
that the Republican tendency to pursue higher office was stronger after
the end of the 90th Congress (1968), the beginning of a period that has
seen almost complete Republican domination of the presidency.(24)
Further, Zupan's [1991a] hypothesis provides compelling evidence
that the past trend of Republican domination in the executive branch is
likely to continue well into the future.(25)
What do these results say about the possibility of a future
Republican majority in the House? It's even less likely than
previously thought. It is widely held that it will be difficult for the
Republicans to achieve majority status because of the disadvantages that
challengers face in displacing incumbents during election bids. Now, in
addition, we have found that Republicans are more likely to voluntarily
leave the House to pursue higher office. A prospective Republican
majority in the lower chamber would have to overcome the disadvantages
of unseating incumbents as well as the tendency for their own members to
leave to pursue higher office.
This study fills a void in the existing literature by analyzing the
quit behavior of U.S. House members. As expected, agents in this labor
market respond to the costs and benefits of the decisions to retire, to
pursue higher office and to remain in their House seats.
1. Most of the literature on the congressional labor market has
looked at factors that influence the reelection prospects of incumbents
in political office. In a vast literature, see Ferejohn's [1977]
survey article, Collie [1981], Jacobson [1978; 1985], Lott [1987],
Wittman [1989], Hart and Munger [1989], Ornstein et al. [1990], Grossman
and Noh [1990] and Zupan [1991a].
2. See Black [1972], Rohde [1979], Copeland [1989] and Kiewiet and
Zeng [1994]. In addition, Cooper and West [1981] Hibbing [1982a; 1982b],
Gilmour and Rothstein [1993] and Groseclose and Krehbiel [1994] discuss
trends and motivations behind retirements.
3. In their theoretical [1990] and empirical work [1992; 1994], Reed
and Schansberg also differentiate between the reasons for leaving so
that hypotheses concerning trends in congressional tenure can be
eliminated as possible explanations.
4. Since it is exogenous and relatively infrequent, death will not be
modelled here.
5. Observations were rounded off to the nearest two-year term. For
example, if someone retired after the middle of a term, he would be
credited with serving the current term and then retirement in the next
term.
6. The interested reader is again referred to Ferejohn [1977], Lott
[1987] and Ornstein et al. [1990]. Note also that incumbents have an
overwhelming edge in acquired name recognition over challengers because
of past service, i.e., exposure through the media over the course of
their tenure.
7. Note that [p.sub.cc] is the reelection rate and [p.sub.CR] is the
probability of defeat in a reelection bid. Similarly, the other p's
deal with the probability of success (and failure) when [X.sub.t] = H,
that is, the representative decides to pursue a higher office. These
p's vary by individual and over time, but time and individual
subscripts are eliminated because they don't add measurably to the
analysis and would clutter the equations considerably. With [X.sub.t] =
H, the value of the alternative W(S.sub.t+1] = R), where the
representative has resigned to pursue other goals, is augmented by the
expected value (including the probability and valuation) of consolation
prizes offered to ambitions but failed candidates. This option is
assumed not to be open to individuals who merely pursue another term in
the House. Finally, W([S.sub.t+1] = H) may include future aspirations for even higher office.
8. For [p.sub.ij] [is less than] 1, the partial derivatives of
equations (1)-(3) with respect to the parameters in the model have the
obvious signs. Otherwise, the partial derivatives may equal zero.
9. The use of an infinite-time model is solely for ease of notation.
The theoretical results and expectations for specific variables
mentioned above remain unchanged.
10. See Maddala [1983]. Another possibility would be to use simple or
conditional logits on the decision to retire or not and
then--conditional on not retiring--the decision to run for the House
seat or for higher office. However, this seems too restrictive. For
example, if one considers a representative who is a "victim of
redistricting," continuing may not be a viable option--the choice
might be between retiring and pursuing higher office.
11. The "scandalous" observations were compiled from
mention in Congressional Quarterly Almanac. With respect to the use of
"two election cycles," I assume that if the controversy failed
to unseat the incumbent within two elections, then it would not affect a
representative's future decisions.
12. These non-elective higher offices include cabinet positions under
the president, judgeships, diplomatic positions, etc. Crossing party
lines to make administrative appointments is very rare.
13. A recent example of this was observed in the 1990 Illinois Senate
race between incumbent Paul Simon and Republican challenger Lynn Martin.
After Martin failed in her attempt to unseat Simon, she was offered the
post of Secretary of Labor.
14. Other open seats, such as for governor, are rarely pursued by
House members.
15. The eight offices specially designated by Congressional Quarterly
are considered to be leadership posts.
16. Crain, Leavens and Tollison [1986] note that the majority party
typically "stacks" the ratio of majority to minority members
on the most important committees. Although this puts minority members at
a disadvantage, their pursuit of placements on those committees reflects
a revealed preference. The author also recognizes that rent-generating
activity in particular committees might be just as useful to individual
representatives. But, presumably, pork barrel opportunities exist for
all committee assignments or are a function of tenure or party.
17. The author recognizes that changes in PARTYPCT along different
parts of the range could have disparate impacts on moves to higher
office. For instance, movement around a value of .5 is potentially more
significant than changes around .6 since majority party status is at
stake. However, this variable will to some extent pick up expectations
of future party control and, thus, future power for individual members.
As a party gains security in majority status, expectations of future
power are higher and we would expect its members to leave less
frequently. Further, assignments in the important committees are usually
made very early in a House member's career. Thus, the problem of
measuring expectations of power with respect to committee assignments is
mostly avoided.
18. Acquiring brand name capital at "no cost" ignores the
psychic costs associating with squelching ideological preferences. See
Lott and Davis [1992] for a survey of the relevant literature.
19. One could also tell a sorting story here--that the probability of
continuing will increase at a decreasing rate as constituents sort their
representatives by ideological preferences over their tenures.
20. REDIST=1 for the years 1962, 1972 and 1982. Ideally, one would
like to have more specific data about the consequences of redistricting.
What percentage of his constituency is new? What percentage of his new
constituents belong to the other party? Unfortunately, such data are not
available.
21. Actual age would be preferred but was highly collinear with
TENURE.
22. Observations considered to be "higher office" include a
few cases where the attempt was not immediate but within two years of
leaving the House. Questions about what constitutes "higher
office" are answered by assuming that revealed preference theory is
operative. Note also that the valuation of an office by a representative
is relative.
23. See also: Gilmour and Rothstein [1993]. An observationally
equivalent explanation is that Republicans behave differently because
they are Republicans and not because they are the minority party per se.
It could be that Republicans have a comparative advantage in issue
stances over local benefit-seeking, which is more important in the
Senate (see Zupan [1991b]).
24. In fact, the House members whose party was in control of the
executive office have accounted for 61 percent of the moves to higher
office since 1960.
25. Zupan provides a Prisoner's Dilemma explanation for the
phenomenon that Democrats dominate legislative bodies (many members)
while Republicans dominate executive offices (one member) at all levels
of government.
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