The impact of psychological and human capital on wages.
Goldsmith, Arthur H. ; Veum, Jonathan R. ; Darity, William Jr. 等
I. INTRODUCTION AND STATEMENT OF THE PROBLEM
Economists have a long standing interest in the determinants of real
wages. Mincer [1962] and Becker [1964] suggested that personal
productivity, and hence real wages, depend critically on human capital
accumulation. Wages also are likely to be influenced by psychological
capital - those features of personality psychologists believe contribute
to an individual's productivity. These may include a person's
perception of self, attitudes toward work, ethical orientation, and
general outlook on life.
Economists acknowledge that the influence of personality on
productivity is detectable and is rewarded by employers. But most
economists, unlike psychologists, have taken the position that
personality is either unobservable or unmeasurable. Rather than find
ways to represent psychological capital in wage equations, economists
have developed empirical techniques that yield consistent coefficient
estimates of observable determinants of wages when other aspects of
individual-specific heterogeneity are treated as omitted variables.(1)
However, if the unobservables include features of personality that
fluctuate over time and are correlated with the observables, the
standard approaches to eliminating heterogeneity bias will be
ineffective. To the extent that this is the case, economists can offer
neither consistent estimates of the effect of human capital accumulation
on wages nor evidence on whether elements of psychological capital are
related to wages. As a result, little is known about the relative
contributions of psychological and human capital to wage levels.
Recently, however, psychologists have developed and validated
measures of various components of psychological capital making it
possible to "observe the unobservable." Some of these measures
are available in the National Longitudinal Survey of Youth (NLSY). These
measures make it possible to control directly for some aspects of
person-specific heterogeneity in wage equations heretofore unaccounted
for. Therefore, using data drawn from the NLSY, this paper offers
estimates of the impact of both psychological and human capital on real
wages.
The relationship between psychological capital and wages is captured
in two ways. First, we offer direct evidence on the influence of
self-esteem on wages. Because self-esteem reflects a wide range of
personal attributes, it accounts for many dimensions of psychological
capital. Theories of self-esteem formation advanced by psychologists
suggest that wages and self-perception are determined jointly. Guided by
this literature, we estimate a person's level of real wages and
self-esteem simultaneously. Second, psychologists expect a person's
general outlook on life, a component of psychological capital referred
to as "locus of control," to play a central role in shaping a
person's conception of self. We offer evidence on whether this
element of psychological capital directly influences self-esteem and,
thus, contributes indirectly to wages.
The explicit inclusion of both psychological and conventional human
capital variables in the wage equation allows us to evaluate the
relative contributions of human and psychological capital to real wages.
This unique analysis fosters new insights into the determinants of
personal productivity.
This paper is organized as follows. In section II we discuss the
rationale for a relation between productivity and self-esteem. In
section III we describe and evaluate the measurement of psychological
capital. Section IV discusses our empirical procedures, including data,
model specification, and estimation technique. Our findings on the
relation between a person's real wage and their levels of
psychological and human capital are presented in section V.
We find that psychological capital, as well as human capital, affects
real wages both directly and indirectly. However, a striking result is
evidence that an individual's real wage is more sensitive to a
change in self-esteem than to comparable alterations in human capital.
In addition, achievements that contribute to real wages, including the
acquisition of some forms of human capital, are important determinants
of self-esteem. A person's self-esteem also depends upon their
relative wage. Concluding remarks appear in section VI.
II. PSYCHOLOGICAL CAPITAL AND WAGES
Neoclassical theory predicts that a profit-maximizing firm will pay
workers a wage equivalent to their marginal product. Most economists
believe a person's human capital is the primary determinant of
personal productivity. In practice, human capital generally is treated
as job-related skills and physical health (Grossman [1972]). Of course,
the quantity and quality of a person's work may depend on their
psychological capital as well. A person's psychological capital is
likely to govern their motivation and general attitude toward work.
Indeed, Erikson [1959], founder of the life span development theory,
argued that individuals who were psychologically healthy - those with
high self-esteem - would be the most productive.
Following Rosenberg [1965], psychologists treat self-esteem as
multidimensional, comprising notions of worth, goodness, health,
appearance, and social competence. Deficits in one area can be overcome
by strengths in another. Since self-esteem may be changed by events
people experience, comparisons they make. or evaluations conducted by
others, it is best thought of as a feature of personality, rather than a
trait - the latter a stable and enduring property of the individual. The
broad scope of factors contributing to self-esteem allows it to capture
many features of a person's psychological capital.
Brockner [1988] found self-esteem influenced productivity positively
in two ways. First, managers perceived that high self-esteem workers
tend to use their time more effectively. The latter needed less
direction from supervisors, leading to shorter periods of "down
time." Second, workers high in self-esteem exercised a more
efficient use of group time by exhibiting a willingness to consider a
wider range of solutions to problems; and they were more confident
decision makers. These characteristics led to groups with high levels of
cooperation and groups less inclined to seek guidance from managers.
Psychologists believe that a person's general outlook on life,
their locus of control, influences self-esteem. Individuals who think
they are masters of their own fates and believe they are responsible for
what happens to them are called internalizers by psychologists.
Externalizers believe their life is controlled by outside forces and
that they bear little responsibility for what happens to them.
Psychologists (Glietman [1991]; Rotter [1966]) consider locus of control
to be a personality trait, a stable feature of self, formed early in
life. Lefcourt [1982] and Bandura [1986] suggest that individuals who
believe they are in control of situations they face, those with an
internal locus of control, are likely to possess a strong sense of
self-worth relative to externalizers - who tend to doubt their personal
efficacy. Hence, while locus of control may affect labor market outcomes, it appears to do so through its impact on more time-variant
psychological variables. As a result, locus of control is an element of
psychological capital that is expected to influence wages, but only
indirectly through its effect on self-esteem.
Psychologists (Lane [1991]; Glietman [1991]) also expect wages to
enhance self-esteem, contingent upon the manner in which self-esteem is
derived. Self-esteem may be achieved, through actions leading to a
heightened sense of self, or ascribed, due to the possession of certain
characteristics valued by society (e.g., being Protestant, wealthy,
attractive). Therefore, success in the labor market, as measured by the
wage a person commands, is likely to contribute directly to a positive
perception of self. Heretofore, the possibility that real wages and
self-esteem are interdependent has been unrecognized by economists.
It certainly is plausible that a link exists between psychological
capital and personal productivity, as well as a connection between real
wages and self-esteem. Since most economists have operated under the
belief that psychological constructs are unmeasurable, generally they
have not examined whether such associations exist. Rare exceptions
include research on the relation between mental health and wages by
Bartel and Taubman [1979; 1986], Frank and Gertler [1991], and Mullahy
and Sindelar [1993] indicating that poor mental health significantly
reduces an individual's earnings.
In these papers, a person's mental health status is treated as
an exogenous determinant of personal productivity and wages. The
possibility that emotional well-being also may be influenced by wages is
not formally explored.(2) However, poor mental health is likely to
damage self-esteem, leading to a decline in productivity and wages that
may in turn erode a person's perception of self.
Recent developments in the measurement of psychological capital make
it possible for economists to examine more fully the relation between
personality and wages. Moreover, these advances make it possible to
explore the reciprocal influences of psychological capital and real
wages. The following section discusses how psychologists measure two
elements of a person's psychological capital, self-esteem and locus
of control, and indicates why economists should find these measures
useful in their empirical work.
III. MEASURING PSYCHOLOGICAL CAPITAL: METHODS AND VALIDITY
Rosenberg [1965] developed an inventory of questions to measure an
individual's "global" self-esteem, and Rotter [1966]
constructed a survey instrument to gauge an individual's
"locus of control." These scales, contained in the NLSY, are
constructed from self-reported evaluations collected as responses to
survey questions.
Economists have been reluctant to use subjective data because of
their concerns over variable measurement error, their aversion to making
interpersonal comparisons using such data, and their lack of familiarity
with psychological scales (Easterlin [1974]). In contrast, psychologists
believe these problems can be overcome and that variations in these
scales across individuals can help explain observed differences in
individual behavior and outcomes. We turn now to a brief discussion of
the issues raised by economists, and the procedures adopted by
psychologists that address these concerns.
Economists are predisposed to say subjective interpersonal
comparisons are pointless. For instance, individuals might
"anchor" their scale at different levels, making interpersonal
comparison of responses meaningless. Psychologists assert that the
"anchoring" issue can be addressed by careful construction of
the questions contained in a scale used to represent a psychological
construct.
Consider, for example, the construction of Rosenberg's
Self-Esteem Scale (SES). The scale contains ten questions that are used
to measure self-esteem as defined by Rosenberg - a favorable or
unfavorable attitude towards oneself (Rosenberg [1965, 15]). A
four-point Likert-style responses format (strongly agree, agree,
disagree, strongly disagree) accompanies each question, but responses
are typically scored only as agreement or disagreement, resulting in a
two point (0,1) response. This procedure has been adopted by
investigators because where a person "anchors" their scale is
more likely to influence their intensity of agreement with a statement
than whether they agree in principle with the statement.
Two people with identical reactions to a statement may evaluate the
strength of their reaction differently, one claiming to
"agree" with the statement and the other agreeing
"strongly." Therefore, a scale based on subjective strength of
concordance with a remark is likely to be of little use in analyzing
behavior across individuals. However, if the scale is constructed using
impressions of agreement or disagreement with a series of remarks, the
issue of "anchoring" is less problematic.
Rotter's [1966] Internal-External (I-E) Locus of Control Scale
consists of 23 question pairs. Internal statements are paired with
external statements. Again, to reduce measurement error caused by
different "anchor" points, individuals are asked to reveal
which of the widely divergent descriptive statements corresponds to
their perception - not the extent of the concordance. One point is given
for each internal statement selected. Scores on the I-E can range from 0
(most external) to 23 (most internal).
Rosenberg's SES also was designed originally as a Guttman-type
scale where a larger pool of items is reduced through the grouping of
questions. Following Rosenberg, the ten questions have been used to
construct six subscales, each yielding a single measure represented on a
two-point (0,1) scale.(3) Therefore, the Rosenberg measure of
self-esteem ranges in value from 0 to 6, with a higher value
representing a greater level of self-esteem.
Even if measures of psychological constructs can be designed to
permit meaningful interpersonal comparisons, economists also have
expressed skepticism about the accuracy of constructs purporting to
measure components of a person's psychological status such as
self-esteem and locus of control.(4) Likewise, many psychologists
initially were uneasy about the precision of these measures. However,
studies reveal that scales designed to gauge an individual's
self-esteem and locus of control are effective.(5) Psychologists assess
the usefulness of scales developed to measure a psychological construct
by examining three features of the scale: convergent validity,
reliability, and stability.
Convergent validity is concerned with whether an alternative scale
seeking to measure the same construct yields a similar assessment. For
instance, would a person rated as high in self-esteem using
Rosenberg's Self-Esteem Scale score correspondingly high on
Coopersmith's Self-Esteem Inventory or the Lerner Self-Esteem
Scale? A scale is reliable when the questions that comprise the scale
are all probing similar or related features of the individual's
make-up. If there is a high correlation between responses on each scale
item, as reflected by a high Cronbach [Alpha], the scale is regarded as
reliable. Finally, a scale is only considered stable if a similar
assessment is generated by administering the same scale a short time in
the future. Two weeks is a common interval to retest for purposes of
examining stability.
Silber and Tippett [1965], Crandall [1980], Demo [1985], and Reynolds
[1988] found Rosenberg's SES exhibits substantial convergent
validity.(6) There is also evidence of relatively high reliability of
Rosenberg's SES from Fleming and Courtney [1984], and Dobson et al.
[1979]. Finally, analysis by Fleming and Courtney [1984] and Silber and
Tippett [1965] reveals the SES is stable.(7)
Although Rosenberg's SES appears to be a viable way to measure a
person's self-esteem, some shortcomings of the scale have been
identified. Wylie [1989] notes there is a tendency for the majority of
subjects to attain scores on the self-favorable end of the scale. This
makes it more difficult to distinguish the impact of an event on a
person's perception of self. Moreover, Rosenberg assumes that an
individual's global self-regard is determined by a combination of
self-conceptions and self-evaluations concerning separate aspects of
self. Rosenberg's scale questions allow each person to take into
account, in their own way, the relative contributions of specific
self-evaluations to overall self-esteem. Marsh, Smith and Barnes [1983]
point out that such aggregation may prevent investigators from
identifying the relative importance of various components of self-esteem
to outcomes such as productivity and earnings.
Rotter's Internal-External Locus of Control Scale is correlated
with other frequently used measures of locus of control (Phares [1976]).
Moreover, MacDonald's [ 1973] review of the literature on the
correlation of the Rotter scale with various Social Desirability Scales
led him to conclude that there is little evidence of response bias.
Rotter's I-E Scale also exhibits substantial test-retest stability
(Rotter [1966]; Hersch and Scheibe [1967]).
Although construct validity and stability evaluations suggest the I-E
Scale is an effective way to account for a person's locus of
control, initial evidence on reliability identified a potentially
problematic characteristic. Factor analysis by Rotter [1966], Mirels
[1970], and Watson [1981] reveal that one general factor - personal
control - accounted for most of the total scale variance. A second
factor, a person's belief that people have control generally -
control ideology - was found to explain some of the variance as well.
However, according to MacDonald [1973, 229] only those items that
pertain to personal control "appear to be reflecting and measuring
the construct as it was defined by Rotter."
The multidimensional nature of Rotter's IE Scale has raised
concern about the reliability of the scale itself. For instance, adding
items regarding control ideology to those capturing personal control may
produce an inaccurate measure of the "personal control" aspect
of locus of control. Therefore, Lefcourt [1991] suggests that
investigators refrain from using such general scales as the I-E and
instead construct their own scales, possibly based on a subset of items
from a general scale, that specifically address the construct they are
interested in measuring. According to Lefcourt, [1991, 418] "even a
four-item scale specifically designed to assess a particular area of
concern may prove more useful and stimulating than would a longer, more
established, but area-irrelevant locus of control measure."
Only four of Rotter's 23 questions were included in the NLSY.
These four items were chosen by the designers of the NLSY based on
evidence, provided by psychologists, which indicates that these items,
from the set of twenty three, are the strongest indicators of
"personal" internality-externality, the construct Rottar
sought to measure.(8) Following the procedure suggested by Rotter, the
four questions were combined to form a measure of perceived personal
locus of control. We refer to this measure, that may range in value from
0 (an external response to each question) to 4 (an internal response to
each question), as an "Abbreviated Rotter."
IV. EMPIRICAL PROCEDURES
Data
The data used in this study are from the NLSY, a sample of 12,686
males and females who were between the ages of 14 and 21 in 1978 and who
have been interviewed annually since 1979. The NLSY is a unique data
set, rich in economic and demographic information. It includes data on
wages and multiple aspects of human capital. It also contains measures
of psychological capital. In 1980 and again in 1987 the entire set of
questions which comprise Rosenberg's [1965] SES were asked. At the
time of the 1979 interview, information was collected on locus of
control.
Another interesting feature of the NLSY is that information on each
respondent's adolescent home environment at age 14 was collected.
Socialization processes influencing attitudes and values occurs in the
home. These attitudes and values, many of which are formed by age 14,
may contribute to subsequent personal productivity. Although self-esteem
is multifaceted and captures a person's psychological capital in a
broad sense, additional aspects of individual-specific heterogeneity are
likely to remain. A portion of the remaining person-specific
heterogeneity may be captured by variables describing a person's
home circumstances as a youth.
The NLSY enables us to determine whether the link between
psychological capital and real wages is similar for workers at two
different points in their working life cycle - 1980 and 1987. Analysis
of the 1980 data is restricted to individuals who were old enough to
obtain a work permit in 1979 and had completed their formal schooling -
2,225 young individuals. The data set drawn from the 1987 wave of the
NLSY is composed of 8,132 individuals who were not enrolled in school in
1987. Because we treat locus of control as a personality trait, it is
expected to be stable. Therefore, in 1987 a person's locus of
control is represented by their locus of control measured in 1979, the
only time period for which such information is available as of the 1987
interview date.(9)
Model Specification
Following the convention initiated by Mincer [1962], the productivity
of a worker is expected to depend on their personal attributes as well
as characteristics of their workplace. Although Mincer [1962; 1974] and
Becker [1964] chose to focus on human capital, psychological capital
also should be included as a relevant personal characteristic.
Psychologists have identified self-esteem as a broad measure of
psychological capital that is determined, in part, by the wage level a
person commands. Therefore, wages and self-esteem should be viewed both
as being endogenous and simultaneously determined. In order to account
for the joint determination of wages and self-esteem, the following
two-equation structural model is specified:
(1) [Wage.sub.i] = [Phi]([Self-Esteem.sub.i])
+ (Human [Capital.sub.i])[Gamma]
+ ([X.sub.i])[Beta] + ([Y.sub.i])[Pi]
+ [Delta]([Selection.sub.i]) + [[Epsilon].sub.i]
(2) [Mathematical Expression Omitted]
Variable names, descriptions of how each variable used in the
estimation of equations (1) and (2) was constructed, and sample summary
statistics are provided in Table I. Frequency distributions for SES
scores in 1980 and 1987, and for Rotter's I-E scale score in 1979
for persons in the data set in 1980 and 1987 are presented in Table II.
Many features of a person's psychological capital are captured by
their self-esteem score. Thus, a person with greater self-esteem,
measured by their score on the Rosenberg SES, is expected to be more
productive and realize a higher wage.
The vector Human [Capital.sub.i] is composed of measures capturing
four different aspects of human capital. Broad based formal skills are
captured by Education. An individual's verbal and mathematical
skills developed while attending school and at home are measured by
[TABULAR DATA FOR TABLE I OMITTED] [TABULAR DATA FOR TABLE II OMITTED]
scores on the Armed Forces Qualifying Test (AFQT). General and specific
workplace skills are represented by Experience and Tenure, respectively.
The [X.sub.i] vector contains variables describing a person's
work environment. It includes dummy variables for Occupation and
Industry of employment, size of the local labor market (SMSA), and local
labor market conditions as represented by the area-specific Unemployment
rate.
The vector [Y.sub.i] contains demographic information and measures of
personal characteristics, aside from human and psychological capital,
that are expected to influence personal productivity or result in
work-related constraints. Demographic factors taken into account include
gender (Male), race (Black), Age, marital status (Married), presence of
young dependents (Kids), and financial wealth (Wealth).
Families and significant others are the agents that socialize youths,
affecting the evolution of their sense of self-esteem. These
interactions also may contribute to the formation of values and
attitudes, not fully captured by self-esteem, that influence subsequent
productivity. The vector [Y.sub.i] contains variables to account for the
possible role of a person's adolescent youth environment in
generating such individual-specific heterogeneity. Socialization leading
to greater subsequent productivity and wages is presumed to occur in
families where Both Parents are present, Parent Education is greater, a
Professional Parent resides, and there is an affiliation with a
Religion.
Wages are observed only for those individuals working for pay (1,411
of the 2,225 observations in the 1980 data, and 6,911 of the 8,132
observations in the 1987 data). Heckman [1979] has suggested that
unobservable characteristics of the individual both govern a
person's decision about whether or not to participate in the labor
force and their productivity if they opt to work. If these factors are
omitted from the estimated equation, then the estimated coefficients
will suffer from selectivity bias. Following Heckman a
selection-correction variable (Selection) is included in equation (1) to
control for labor force participation.
A person's self-esteem level, [S.sub.i], is expected to be
governed by equation (2). Achievements such as the accumulation of human
capital and success in the labor market are expected to contribute
positively to a person's perception of self. Wages are a commonly
used standard for gauging economic success. Absolute wages and relative
wages are expected to influence a person's perception of self.
Receiving a greater real wage, given a position in the wage
distribution, should enhance an individual's self-esteem. In
forming an opinion of self a person also may care about their
compensation relative to others.
A person earning a "high" wage level relative to others,
for a given absolute wage rate, is expected to exhibit greater
self-esteem. Those receiving "low" hourly pay in comparison to
others are likely to possess a lower level of self-esteem. The vector
[Mathematical Expression Omitted] contains two variables, High Wage and
Low Wage, to identify where an individual is located in the wage
distribution.(10)
Demographic characteristics and personal attributes expected to
affect a person's self-esteem are elements of the vector [Z.sub.i].
All the variables contained in [Y.sub.i] are included in [Z.sub.i], plus
a measure of a person's Locus of Control. Individuals who possess a
more internal locus of control are likely to have greater self-efficacy
- a belief they can accomplish tasks. Following Bandura [1986], persons
with stronger self-efficacy are expected to possess a more favorable
view of self. Thus, holding a more internal locus of control is expected
to contribute to greater self-esteem. Does better selfesteem lead a
person to be more internal in their outlook, resulting in joint
determination of these two components of psychological capital?
Psychologists such as Rosenberg [1965] believe self-esteem fluctuates
over a person's life-cycle in response to experiences. However, the
foundation upon which a person evaluates themselves is developed as a
youth. An important component of this foundation is a person's
locus of control that is established early in life and is relatively
time invariant. Factors causing adjustments in self-esteem are not
expected to alter a trait-like feature of personality molded as a youth.
Therefore, we treat locus of control as an exogenous determinant of
self-esteem.
Intact families, with well-educated and professional parents
affiliated with a religious organization, are expected to provide a
foundation yielding a more positive perception of self in their
offspring. Having a spouse, children, and greater financial wealth, is
expected to enhance a person's self-esteem. Socialization patterns
are likely to reduce self-esteem for women relative to men.
Discrimination can be expected to harm a person's self-esteem.
Wage appears in the self-esteem equation (2), and Self-Esteem is
included in the wage equation (1) to account for their joint
determination. Self-esteem is independent of current labor market
conditions (represented by SMSA and Unemployment) which are expected to
affect wages. As a result, these variables are used to identify the
self-esteem equation, equation (2). A person's locus of control is
expected to exert a direct influence on their self-esteem while only
indirectly effecting their wage, through its impact on selfesteem.
Because the locus of control is included in the self-esteem equation,
but is excluded from the wage equation, it identifies the wage equation.
Estimation Technique
Two-stage least squares (2SLS), is used to estimate equations (1) and
(2). In the first stage each endogenous variable is regressed on all of
the exogenous variables in the system by OLS. Using the coefficient
estimates from the reduced-form equations, estimated values of the
endogenous variables - instruments - are created.(11) In Stage II these
estimated values, of [w.sub.i] and [S.sub.i], denoted as [Mathematical
Expression Omitted] and [Mathematical Expression Omitted] respectively,
which are uncorrelated with the disturbance terms, replace the
endogenous variables in structural equations (1) and (2). The structural
equations are then estimated by OLS and ordered probit respectively, an
appropriate procedure when the dependent variable is categorical and
sequential, such as our Rosenberg measure of self-esteem, and when
errors are assumed normally distributed (Maddala [1983]).
V. RESULTS
The results for the structural wage equation appear in Table III
along with estimates of the sensitivity of the wage rate to changes in
human capital and self-esteem. Table IV presents our estimates of the
structural self-esteem equation.
Wages
Self-esteem, a broad measure of psychological capital, is positively
and significantly related to the real wage for each of the data sets.
The coefficient estimates on each of the four different types of human
capital (Education, Tenure, Experience, AFQT), are positive and
significant for the data set primarily composed of people at a very
early stage of their working life-cycle, and for the data set containing
more mature individuals.
A striking result is evidence that an individual's real wage is
more sensitive - based on elasticities calculated at the sample means -
to a change in self-esteem than to comparable alterations in human
capital. For the average person in the entire data set, a 10% increase
in self-esteem improves the real wage by 4.8% using 1980 data and 13.3%
using 1987 data.(12) In 1980, a 10% expansion of education, work tenure,
or basic skills (AFQT), ceteris paribus, enlarges wages by 1.1%, .4%,
and 1.2% respectively. Additional work experience has a similar, but
slightly smaller, impact on wages than self-esteem. The real wage grows
by 4.3% when work experience expands by 10%. In 1987 wages were more
sensitive to a change in education than other forms of human capital.
The impact on a person's wage rate of an increase in education is
essentially one-fourth as large as would occur for a comparable
improvement in self-esteem.
An F-test for the hypothesis that the wage rate is independent of
both SMSA and Unemployment rejects the hypothesis at the .01 level for
both the 1980 and 1987 data sets. Thus, the self-esteem equation is
identified both theoretically and empirically.
Studies by O'Neill [1990], Ferguson [1993], Maxwell [1994], and
Neal and Johnson [ 1996] using the NLSY find that when the AFQT is
included in the wage equation as a measure of basic skills, the gap
between white and black wages declines dramatically. Moreover, Neal and
Johnson [1994, 9] report that results using the wage "as the
dependent variable, show small statistically insignificant race
differences in wages for either sex when AFQT is included." They
conclude that the racial wage differential is largely due to a racial
skill differential - not discrimination.(13) However, their model
suffers from omitted variable bias, and the omitted variable,
psychological capital, is jointly determined with their dependent
variable. When the joint determination of wages and psychological
capital is taken into account explicitly, we find that blacks with
comparable skill characteristics earn significantly less than whites.
Males earn significantly higher wages than females. Age contributes
positively to the wage rate, and married persons earn significantly
lower wages for workers in the 1980 data set. Marriage may act as a
constraint, or married people may be choosing more flexible jobs that
pay less. Having young dependents, another potential labor market
constraint, is associated negatively with the real wage level but the
relation is statistically insignificant. Greater financial wealth
contributes positively to the real wage level of employees in the 1987
data set but is independent of the real wage level for workers in 1980.
The sample-selection correction is positive and significant in each
estimated model, implying a positive correlation between unobservables
in the labor force participation equation and the wage equation.
Variables describing a person's family background
characteristics as a youth, used to [TABULAR DATA FOR TABLE III OMITTED]
[TABULAR DATA FOR TABLE IV OMITTED] account for individual-specific
heterogeneity not captured by a person's self-esteem level, do play
a role in the subsequent determination of a person's wage level. At
the earliest stages of the working life-cycle, those who were raised in
an "intact" family - one with both parents present - command a
significantly higher real wage. However, having a professional parent
results in significantly lower wage level. One possible explanation is
that youths raised in such families are likely to continue in school for
advanced degrees and not be in the labor force. Those working simply may
possess other unaccounted for characteristics that make them less
productive.
Interestingly, being affiliated with a religious organization as a
youth at age fourteen also exerts a negative impact on subsequent wages
very early in a person's working life. Later in the working
life-cycle a person's wage is independent of having been raised in
a religiously affiliated family. However, persons raised in families
with a professional parent and with greater parent education earn
significantly more. A puzzling finding is that people from intact
families earn significantly less by 1987.
The key finding is that various components of skill-based human
capital and a broad measure of psychological capital, self-esteem,
significantly affect real wages. Moreover, psychological capital,
relative to human capital, has a greater impact on wages. Thus, an
aspect of personality that typically is part of unobserved
individual-specific heterogeneity is an important determinant of hourly
compensation.
Self-Esteem
Achievements, including the completion of more years of education,
the accumulation of greater "basic skills" and more extensive
work experience all exert a positive and significant effect on
self-esteem for workers in 1987. Work experience with current and former
employers fails to influence a person's self-esteem for the very
young workers who comprise the 1980 data set, but their accumulation of
education and "basic skills" contribute positively to their
perception of self. Interestingly, although these same components of
human capital are significantly related to the wage level, self-esteem
is independent of improvements in a person's real wage, so long as
their position in the societal wage distribution is held constant.
However, people who receive a relatively "low" real wage
report possessing a significantly lower level of self-esteem than
workers in the middle of the wage distribution. Commanding a
"high" relative wage is associated with a more favorable view
of self, and this perception is measured with precision using the 1980
data set. These findings suggest that wages do significantly influence a
person's self-esteem. However, it is not necessarily how much that
is earned, but where earnings place an individual in the wage
distribution that affects a person's self-esteem.
Individuals who are more internal in their outlook possess a
significantly higher level of self-esteem than comparable individuals
whose locus of control is more external. This finding means that the
structural wage equation is identified empirically as well as
theoretically. Moreover, because locus of control is an important
determinant of self-esteem that contributes to a higher real wage, we
find evidence that psychological capital has both a direct effect - via
self-esteem - and an indirect effect - through locus of control - on a
person's real wage level.
Males hold a significantly more favorable view of self-worth than
females, ceteris paribus. Although mean self-esteem is lower for blacks
than whites, when achievements, personal characteristics, and adolescent
home environment are controlled for in the structural self-esteem
equation, being black is positively and significantly related to
self-perception. Marriage significantly enhances self-esteem, while
people with young dependents do not hold a significantly different level
of self-esteem than comparable persons without the responsibility of
young dependents.
People who grew up in an intact family had a significantly greater
level of self-esteem in 1987. But those who had a professional parent
report a lower level of self-esteem in 1987. Using the 1980 data of the
variables reflecting a person's adolescent family environment, only
religious affiliation - which contributed positively - was related to
subsequent self-esteem.
The key findings are that relative, but not absolute, hourly wages
are an important determinant of self-esteem. Investments in human
capital also contribute to a more favorable view of self. In addition,
individuals whose upbringing and experiences lead them to hold a more
internal outlook on life have greater self-esteem. Recall that
individuals higher in self-esteem, ceteris paribus, earn significantly
more. Thus, human capital contributes both directly to a person's
wage level and indirectly through its influence on self-esteem - a
channel heretofore unexplored.
VI. CONCLUSION
This paper offers evidence that psychological capital, as well as
conventionally measured human capital, are important determinants of the
real wage. We find that self-esteem, a broad measure of psychological
capital, contributes significantly to a person's real wage level.
By controlling directly for individual-specific heterogeneity due to
differences in psychological capital and alternative adolescent home
environments, we are able to report new estimates of the impact of human
capital formation on wages. These estimates reveal that formal
schooling, the accumulation of basic skills, and work experience - all
aspects of a person's human capital - are significantly related to
the wage. However, the impact of improved psychological capital on a
person's real wage is large relative to the influence of a
corresponding expansion of human capital.
Because economists historically have treated psychological capital as
both unobservable and unmeasurable, heretofore little evidence has been
available on the contribution of psychological capital to real wages and
hence living standards. Results from this analysis suggest that
increased psychological capital is an important avenue to subsequent
economic well-being that warrants greater consideration in future
research aimed at understanding the determinants of personal
productivity and other labor market outcomes. Psychological factors also
undoubtedly play a role in other areas such as the acquisition of
education and training, job search, and labor supply.
Yet psychological constructs are rarely used in empirical analyses of
these topics. More and better data are needed to improve
economists' understanding of the contribution of psychological
capital to labor market outcomes. For instance, commonly used data sets
such as the NLSY might explore the possibility of more frequent
collection of information on psychological constructs. Moreover,
psychological variables could be introduced into other data sets widely
used by labor economists.
ABBREVIATIONS
NLSY: National Longitudinal Survey of Youth
SES: Self-Esteem Scale
I-E: Internal-External
AFQT: Armed Forces Qualifying Test
The authors are indebted to Stuart Low for his insights and advice
during the formative stage of this research. Tony Hall offered valuable
insights and suggestions during numerous discussions of this project.
They also wish to thank two anonymous referees for their useful comments
and suggestions. This paper was written while Goldsmith was a Visiting
Professor of Economics at Bond University, Gold Coast Australia, and
Victoria University of Wellington, New Zealand. This research was
supported, in part, by a R. E. Lee Summer Research Grant from Washington
and Lee University. Finally, the views expressed in this paper are those
of the authors and do not reflect the policies or views of the U.S.
Bureau of Labor Statistics.
1. If the unobservables are time invariant, unobserved
individual-specific heterogeneity is swept away by first-differencing
the data. When the unobservables are both random and uncorrelated with
the observables, estimation by Generalized Least Squares yields
consistent and efficient coefficient estimates. For a detailed
discussion of estimation in the presence of unobserved
individual-specific heterogeneity see Greene [1993].
2. Mullahy and Sindelar [1993] and Frank and Gertler [1991] discuss
the issue of causality between labor market outcomes and mental health.
They also note that poor mental health may make skill acquisition more
costly, leading to lower skill productivity and wage levels among the
mentally ill.
3. Crandall [1980] found little difference between using the SES
scored by summing the response to each question on a four-point scale,
giving a scale range of 10-40, or as a Guttman scale resulting in a
range from 0-6.
4. Easterlin [1974] and Freeman [1978] give excellent accounts of
measurement issues associated with subjective response data.
5. Robinson and Wrightsman [1991], and Robinson and Shaver [1980]
offer an excellent description and psychometric evaluation of
measurement instruments for the full range of psychological constructs.
6. Demo [1985] probed convergent validity of the SES in a unique
manner. He compared the self-reported measure of self-esteem from the
SES with ratings of a person's self-esteem offered by both
"peers," who had ongoing relationships with the individual,
and "trained observers," following interactions with the
individual. Demo concluded the degree of convergence of these
nontraditional measures with the self reports contained in the SES
upholds its validity.
7. For a more detailed discussion of research assessing
Rosenberg's SES and Rotter's I-E scale, see Darity and
Goldsmith [1996] and Goldsmith, Veum, and Darity [1996].
8. The rationale for the sole inclusion of these four questions is
contained in the 1978 U.S. Government Office of Management and Budget "Clearance Package for the NLS" in a section on content
justification. The following statement appears in the Clearance Package,
"we have selected the four Rotter items that our work and that of
others has shown to be the most powerful predictor of
internality-externality."
9. In 1992 the NLSY contained the questions which comprise Pearlin et
al.'s [1981] Mastery Scale which is analogous to Rotter's I-E
Scale. Because of the lengthy duration between interviews with
information on self-esteem - seven years - and because a small portion
of the data set were employed in 1980, we decided not to estimate a
fixed-effects model.
10. A person was presumed to earn a relatively high (low) wage if
their wage was more than one standard deviation above (below) the mean
wage for the entire sample. The authors wish to thank a referee for this
journal for suggesting a specification of equation (2) in which
relative, as well as absolute, wages are hypothesized to influence a
person's self-esteem. To avoid simultaneous equations bias the
predicted wage is used in the structural self-esteem equation, thus
predicted wages are used to define a person's position in the wage
distribution. We also utilized dummy variables to represent a
person's position in the wage distribution for the occupation in
which they are working or last worked. Estimating the structural wage
equation with these dummy variables provided weaker support for the
hypothesis that relative wages influence self-esteem. These estimates
are not reported in Table III but are available from the authors upon
request.
11. It might be argued that using a nonlinear estimation technique is
more appropriate given that self-esteem is a noncontinuous dependent
variable. However, predicted means and actual means can vary
substantially using nonlinear methods. Fortunately, the coefficients
from an OLS estimation, which are used to create the predicted values,
are consistent; only the standard errors are inconsistent. See Heckman
[1978] for a detailed discussion of these points.
12. What can account for the greater magnitude of the effect of
improvements in self-esteem upon wages for workers in 1987 relative to
those employed in 1980? It is possible that the factors contributing to
self-esteem are more closely linked to productivity as individuals move
through their working life cycle.
13. Rodgers and Spriggs [1996] argue that AFQT measures basic skills
with substantial error, particularly for blacks. They suggest caution in
drawing inferences or making policy statements based on the estimated
relationship between AFQT and real wages. For an excellent discussion of
issues in interpreting the correlation between AFQT and wages see Currie and Thomas [1995]. In their work, Currie and Thomas separate AFQT into
its component parts and find that each element of AFQT affects
subsequent wages differently. For certain components they note that
blacks experience a higher monetary return than whites.
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Goldsmith: Stephens Professor of Economics, Washington and Lee
University, Lexington, Va.
Phone 1-540-463-8970, Fax 1-540-463-8639 E-mail
goldsmith.a.h.@wlu.edu
Veum: Research Economist, U.S. Bureau of Labor Statistics,
Washington, D.C., Phone 1-202-606-7387 Fax 1-202-606-6425, E-mail
veum@j@bls.gov
Darity: Boshamer Professor of Economics, The University of North
Carolina, Chapel Hill, Phone 1-919-966-2156 Fax 1-919-966-4986, E-mail
darity.cpc@mhs.unc.edu