Estimating a Dynamic Adverse-Selection Model: Labor Force Experience and the Changing Gender Earnings GAP1 (original) (raw)

Estimating a Dynamic Adverse-Selection Model: Labour-Force Experience and the Changing Gender Earnings Gap 1968-1997

The Review of Economic Studies, 2012

This paper addresses two questions: What accounts for the gender gap in labor-market outcomes? What are the driving forces behind the changes in the gender-labor-market outcomes over the period 1968-97? It formulates a dynamic general equilibrium model of labor supply, occupational sorting and human capital accumulation in which gender discrimination and an earnings gap arise endogenously. It uses this model to quantify the driving forces behind the decline in the gender earnings gap and the increase in women's labor-force participation, professional-occupation representation and hours worked. It …nds that labor-market experience is the most important factor explaining the gender earnings gap. In addition, statistical discrimination accounts for a large fraction of the observed gender earnings gap and its decline. It also …nds that a large increase in aggregate productivity in professional occupations plays a major role in the increase in women's labor-force participation, professional-occupation representation and hours worked. Although of less importance, demographic changes account for a substantial part of the increase in female labor-force participation and hours worked, whereas home-production technology shocks do not.

A Quantitative Theory of the Gender Gap in Wages

SSRN Electronic Journal, 2005

This paper measures how much of the gender wage gap over the life cycle is due to the fact that working hours are lower for women than for men. We build a quantitative theory of fertility, labor supply, and human capital accumulation decisions to measure gender differences in human capital investments over the life cycle. We assume that there are no gender differences in the human capital technology and calibrate this technology using wage age profiles of men. The calibration of females assumes that children involves a forced reduction in hours of work that falls on females rather than on males and that there is an exogenous gender gap in hours of work. We find that our theory accounts for all of the increase in the gender wage gap over the life cycle in the NLSY79 data. The impact of children on the labor supply of females accounts for 56% and 45% of the increase in the gender wage gap over the life cycle among non college and college females, while the rest is due to the exogenous gender differences in hours of work.

Labor Market Experience and the Gender Gap

SSRN Electronic Journal, 2000

We present a model in which the gender gap in wages displays non-monotonic dynamics of the type observed in the US during the twentieth century. We show that the dynamics of the gender gap depend on the number of women that work at home in the early stage of their life and join the labor force late in life with low skills and little labor market experience. Consistent with empirical findings, we conclude that the gender gap increases when this dynamic labor profile is sufficiently widespread, and vice versa. We argue that this profile abounds when wages grow sufficiently rapidly.

Changing Levels or Changing Slopes? The Narrowing of the Gender Earnings Gap 1959 – 1999

ILR Review, 2010

Once educational attainment and other observable characteristics have been controlled for, studies show that the gender wage gap among adult full-time workers is about half the size it was in 1980. Using U.S. Census and Current Population Survey (CPS) data from 1959 through 1999, the authors investigate the extent to which the decline in this gap was associated with changes across cohorts in the relative rate of wage growth after labor market entry (slopes), versus changes in relative earnings levels at labor market entry (levels). They find that slope changes associated with post-schooling investments, including work experience, account for no more than one-third of the narrowing of the gender wage gap over the past 40 years. The majority of the narrowing can be attributed to factors present at the time that successive cohorts entered the labor market, such as a growing demand for women's unobserved skills or declining discrimination.

The Gender Earnings Gap: Measurement and Analysis

When summary measures of latent concepts such as "the gender gap" fail to be adequately representative, one must seek better definitions and measures. This paper presents a set of complementary concepts and measurements of the gender gap that move beyond the traditional summary comparisons of the earnings distributions. In particular, we propose a new concept of "the gender gap" based on the the distance between entire distributions with compelling properties: It is free of outlier effects, is capable of representing populations with heterogeneous gaps at different parts of the outcome distributions, and is invariant to increasing transformations. When the gender gap is different or of even different sign at different quantiles, subjective comparisons become inevitable in any summary, cardinal comparisons. In response, we introduce tests based on stochastic dominance to allow for uniform rankings of the earnings distributions between men and women. Using the Current Population Survey data, we first construct a new series on the gender gap from 1976 to 2011 in the United States. We find that traditional "representative" or moment-based measures underestimate a declining trend in "the gender gap" during this period. More important, these traditional measures do not necessarily reflect the cyclicality of the gender differentials in earnings distributions, and may even lead to false conclusions about how labor market conditions are related to the gender gap at the aggregate level. Second, while we find first-order stochastic dominance in most cases, even for the recent recession where men were hit harder, we also find a few instances where definite conclusions regarding the gender gap cannot be drawn at all or only under more restrictive social evaluation functions. Finally, we conduct full distribution counterfactual analysis which suggests that, in many cases, altering the earnings structure would be more effective in improving women's welfare (reducing "discrimination") than would changing human capital characteristics.

The Distribution of the Gender Wage Gap

SSRN Electronic Journal, 2018

We analyse how the rising labor force participation of women influences the distribution of the gender pay gap. We formulate an equilibrium model of the labor market in which the elasticity of substitution between male and female labor varies with the task content of occupations. We structurally estimate the parameters using individual data from Mexico through the recent 25 years when women's labor force participation increased by fifty percent. We provide new evidence that male and female labor are closer substitutes in high-paying abstract task-intensive occupations than in lower-paying manual and routine task-intensive occupations. Consistent with this, we find a widening of the gender pay gap at the lower end of the distribution, alongside a narrowing towards the top. We also find that demand side trends favored women, attenuating the supply-driven negative pressure on women's wages, and more so among collegeeducated workers in abstract-intensive occupations. The paper presents new evidence on the distribution of the gender wage gap, and contributes to a wider literature on technological change, occupational sorting and wage inequality between and within gender.

The Impact of Labor Market Structure on Sex Differences in Earnings

Gender, Work and Organization, 1998

This research examines how structural features of a labor market affect the size of the malefemale earnings differential in that market. Theoretical predictions are tested using data on the earnings of male and female academics in the US. Measures of labor market structure are shown to be significantly associated with the size of the earnings differential in 56 labor markets corresponding to specific academic disciplines. As predicted, an oversupply of labor within a market and greater career embeddedness in a single organization within a market increased the size of the earnings gap between men and women. Contrary to predictions, greater flows of information in the market and market permeability had no impact on the size of the earnings differential within markets. In addition, higher percentages of women in the market decreased the wage differential within markets. Additional analysis at the individual level found that men were penalized less than women when labor market conditions led to lower wages. Findings generally support the theoretical position that structural characteristics of the labor market affect the ability of employers to engage in salary discrimination against women.

Distributional Changes in the Gender Wage Gap

SSRN Electronic Journal, 2000

This paper analyzes changes in wage differentials between white men and white women over the period 1993-2006 across the entire wage distribution using Panel Study of Income Dynamics (PSID) data. We decompose distributional changes in the gender wage gap to assess the contribution of observed characteristics measuring individual productivity. We find that the gender wage gap narrowed by more than 13 percent at the lowest decile and by less than 4 percent at the highest decile. The decomposition results indicate that changes in the gender wage gap are mainly attributable to changes in educational attainment at the top of the wage distribution, while a sizeable part of the changes is due to work history changes at the bottom. Our findings suggest that the educational success of women could reduce the gender wage gap at the bottom of the distribution both before and during the 1990s but did not trigger a strong decline at the top of the distribution until today. JEL Classification: C21, J16, J31

Selection, Investment, and Women's Relative Wages Over Time*

Quarterly Journal of Economics, 2008

In theory, growing wage inequality within gender should cause women to invest more in their market productivity and should differentially pull able women into the workforce. Our paper uses Heckman's two-step estimator and identification at infinity on repeated Current Population Survey cross sections to calculate relative wage series for women since 1970 that hold constant the composition of skills. We find that selection into the female full-time full-year workforce shifted from negative in the 1970s to positive in the 1990s, and that the majority of the apparent narrowing of the gender wage gap reflects changes in female workforce composition. We find the same types of composition changes by measuring husbands' wages and National Longitudinal Survey IQ data as proxies for unobserved skills. Our findings help to explain why growing wage equality between genders coincided with growing inequality within gender.