Gender gaps across the earnings distribution for full-time employees in Britain: Allowing for sample selection

This paper investigates gender differences across the log wage distributions of British employees working full-time in 2005. The raw gender wage gap shows a tendency to increase across the distribution with a glass ceiling effect indicated. A strong relationship between high skilled, white-collar occupations and carrying out managerial duties with the glass ceiling effect is indicated in the data. After allowing for positive selection into full-time employment by British women, a substantially larger gender earning gap is found: the selection corrected gender wage gap is close to twice the raw gap across most of the earnings distribution. This selection corrected gap is found to be predominantly related to women receiving lower rewards for their characteristics than men. Indeed, the results suggest the gender earnings gap would all but disappear across the earnings distribution if women working full-time received the same returns to their characteristics as men working full-time in Britain do.     

Education,Occupation and Career Expectations: Determinants of the Gender Pay Gap for UK Graduates*

Despite anti‐discrimination policies, women are paid 20% less then men in the UK. A large proportion of this wage gap is usually left unexplained. In this paper, I investigate whether the unexplained component is due to mis‐specification. Using a sample of recent UK graduates, I examine the role of choice variables (subject of study and occupation) as well as career expectations and aspirations. The evidence indicates that women are more altruistic and less career‐oriented than men. Career break expectations, for example, explain 10% of the gender wage gap in the favoured model. By omitting attitudinal variables, most studies are likely to overestimate the unexplained component of the gender wage gap. Women with a more traditional view concerning childrearing are also found to have less intensive search behaviour. Since aspirations may reflect perceived discrimination or social pressure, current legislations are unlikely to reduce the gender wage gap.     

Job mobility and the gender wage gap in Italy

This paper investigates the contribution of gender differences in job mobility to the emergence of a gender wage gap in the Italian labour market. We show that over the first 10 years of labour market experience job mobility accounts for up to 30% of total log wage growth for men and only 8.3% for women, and that this difference is mainly due to differences in returns to mobility. The gender mobility gap is robust to the inclusion of individual, job and firm characteristics, to different ways of accounting for individual unobserved heterogeneity, and is mainly found for voluntary job moves. Looking at the characteristics of the jobs and the firms' workers move to, we find that moves to larger firms represent by far the main source of gender differences in returns to mobility. We offer two possible explanations for this finding; one which involves differences in bargaining behaviour and one which relates to the theory of compensating differentials.     

Job satisfaction and gender: Why are women so happy at work?

By most objective standards, women's jobs are worse than men's, yet women report higher levels of job satisfaction than do men. This paper uses a recent large-scale British survey to document the extent of this gender differential for eight measures of job satisfaction and to evaluate the proposition that identical men and women in identical jobs should be equally satisfied. Neither the different jobs that men and women do, their different work values, nor sample selection account for the gender satisfaction differential. The paper's proposed explanation appeals to the notion of relative well-being, especially relative to workers' expectations. An identical man and woman with the same jobs and expectations would indeed report identical job satisfaction, but women's expectations are argued to be lower than men's. This hypothesis is supported by the finding that the gender satisfaction differential disappears for the young, the higher-educated, professionals and those in male-dominated workplaces, for all of whom there is less likely to be a gender difference in job expectations.     

Counterfactual distributions with sample selection adjustments: Econometric theory and an application to the Netherlands

Several recent papers use the quantile regression decomposition method of Machado and Mata [Machado, J.A.F. and Mata, J. (2005). Counterfactual decomposition of changes in wage distributions using quantile regression, Journal of Applied Econometrics, 20, 445–65.] to analyze the gender gap across log wage distributions. In this paper, we prove that this procedure yields consistent and asymptotically normal estimates of the quantiles of the counterfactual distribution that it is designed to simulate. Since employment rates often differ substantially by gender, sample selection is potentially a serious issue for such studies. To address this issue, we extend the Machado–Mata technique to account for selection. We illustrate our approach to adjusting for sample selection by analyzing the gender log wage gap for full-time workers in the Netherlands.     

Explaining cross-racial differences in teenage labor force participation: Results from a two-sided matching model

White teenagers are substantially more likely to search for employment than black teenagers. This differential occurs despite the fact that, conditional on race, individuals from disadvantaged backgrounds are more likely to search. While the racial wage gap is small, the unemployment rate for black teenagers is substantially higher than that of white teenagers. We develop a two-sided search model where firms are partially able to search on demographics. Model estimates reveal that firms are more able to target their search on race than on age. Employment and wage outcome differences explain half of the racial gap in labor force participation rates.     

Noncognitive skills, occupational attainment, and relative wages

This paper examines whether men's and women's noncognitive skills influence their occupational attainment and, if so, whether this contributes to the disparity in their relative wages. We find that noncognitive skills have a substantial effect on the probability of employment in many, though not all, occupations in ways that differ by gender. Consequently, men and women with similar noncognitive skills enter occupations at very different rates. Women, however, have lower wages on average not because they work in different occupations than men do, but rather because they earn less than their male colleagues employed in the same occupation. On balance, women's noncognitive skills give them a slight wage advantage. Finally, we find that accounting for the endogeneity of occupational attainment more than halves the proportion of the overall gender wage gap that is unexplained.     

Wage curve, unemployment duration and compensating differentials

In this study unemployment effects on individual pay are investigated following the study on ‘wage curves’ by Blanchflower and Oswald (1990). In bargaining models, higher unemployment should lower wage pressure; due to compensating wage differential arguments, on the other hand, workers who take jobs with higher layoff risks should be rewarded. In a cross-sectional study on Austrian data, a negative wage curve is confirmed. Contrary to the results by Blanchflower and Oswald no U-shape is found, also long-term unemployment seems to be important. No conclusive evidence of compensating differentials has been determined.     

Unobserved selection heterogeneity and the gender wage gap

Selection correction methods usually make assumptions about selection itself. In the case of gender wage gap estimation, those assumptions are especially tenuous because of high female nonparticipation and because selection could be different in different parts of the labor market. This paper proposes an estimator for the wage gap that allows for arbitrary and unobserved heterogeneity in selection. It applies to the subpopulation of “always employed” women, which is similar to men in labor force characteristics. Using CPS data from 1976 to 2005, I show that the gap has narrowed substantially from a ?0.521 to a ?0.263 log wage point differential for this population.     

Bayesian inference in a sample selection model

This paper develops methods of Bayesian inference in a sample selection model. The main feature of this model is that the outcome variable is only partially observed. We first present a Gibbs sampling algorithm for a model in which the selection and outcome errors are normally distributed. The algorithm is then extended to analyze models that are characterized by nonnormality. Specifically, we use a Dirichlet process prior and model the distribution of the unobservables as a mixture of normal distributions with a random number of components. The posterior distribution in this model can simultaneously detect the presence of selection effects and departures from normality. Our methods are illustrated using some simulated data and an abstract from the RAND health insurance experiment.     

The part-time pay penalty in a segmented labor market

This paper is the first to examine the implications of switching to PT work for women's subsequent earnings trajectories, distinguishing by their type of contract: permanent or fixed-term. Using a rich longitudinal Spanish data set from Social Security records of over 76,000 prime-aged women strongly attached to the Spanish labor market, we find that the PT/FT hourly wage differential is larger and more persistent among fixed-term contract workers, strengthening the existent evidence that these workers can be classified as secondary. The paper discusses problems arising in empirical estimation (including a problem not discussed in the literature up to now: the differential measurement error of the LHS variable by PT status), and how to address them. It concludes with policy implications relevant for Continental Europe and its dual structure of employment protection.     

Does it Pay to Work for Free? Negative Selection and the Wage Returns to Volunteer Experience

This paper offers the first instrumental variables estimates of the wage returns to volunteer experience. The returns are substantial and differ considerably by gender. The results imply that the unequal valuation of volunteer experience by gender is more important in explaining the gender earnings gap than is the unequal valuation of part‐time paid work experience. The results also indicate negative selection into unpaid work. In a simple model of optimal volunteering, negative selection implies that a lower cost of volunteering would produce both an expanded and higher‐skilled pool of volunteers, and greater societal benefits from volunteer work.     

Empirical labor search: A survey

This paper surveys the existing empirical research that uses search theory to empirically analyze labor supply questions in a structural framework, using data on individual labor market transitions and durations, wages, and individual characteristics. The starting points of the literature are the Mincerian earnings function, Heckman's classic selection model, and dynamic optimization theory. We develop a general framework for the labor market where the search for a job involves dynamic decision making under uncertainty. It can be specialized to be in agreement with most published research using labor search models. We discuss estimation, policy evaluation with the estimated model, equilibrium model versions, and the decomposition of wage variation into factors due to heterogeneity of various model determinants as well as search frictions themselves. We summarize the main empirical conclusions.     

Technology,Labour Characteristics and Wage‐productivity Gaps*

We use plant‐level employer–employee data in production functions and wage equations to examine whether wages are based on productivity. We use a stepwise procedure to find out how the results are influenced by the kind of data that is available. The models include shares of employee groups based on age, level and field of education, and sex. The gap between the age‐related wage and productivity effects increases with age. Education increases productivity, but wage under‐compensates productivity especially for those with the highest level of non‐technical education. For women the results depend greatly on the specification and method used.     

Who Benefits from Marriage?*

The phenomenon that married men earn higher average wages than unmarried men – the marriage premium – is well known. However, the robustness of the premium across the wage distribution and the underlying causes of the marriage premium are unclear. Focusing on the entire wage distribution and employing recently developed semi‐non‐parametric tests for quantile treatment effects, our findings cast doubt on the robustness of the premium. We find that the premium is explained by selection above the median, whereas a positive premium is obtained only at very low wages. The causal effect at low wages may be attributable to employer discrimination.     

Simulation Estimation of the Convergence of the Black–White Earnings Gap and Income Dynamics*

In this article, the effect of Title VII of the 1964 Civil Rights Act on the convergence of the black–white earnings gap and income dynamics is studied through the dynamic panel Tobit models implemented using the simulation estimators. It is found that the black–white earnings gap declined moderately after the implementation of Title VII of the 1964 Civil Rights Act in 1965. Based on the simulation studies of wage trajectories, it is also found that the positive impact of the Civil Rights Act on the convergence of the black–white earnings gap is especially significant for the group of middle‐aged and highly educated workers. Moreover, the rich dynamic structure of the earnings process is identified from the Current Population Survey‐Social Security Administration data set. It is shown that the various sources of dynamics in the earnings process are dominated by spurious state dependence for both blacks and whites.     

Gender differences in early-career wage growth

In Finnish manufacturing, the gender wage gap more than doubles during the first ten years in the labour market. This paper studies the factors contributing to the gender gap in early-career wage growth. The analysis shows that the size of the gender gap in average wage growth varies with mobility status, the gap being higher with employer changes compared to wage growth within firms. Several explanations for the gender gap in wage growth based on human capital theory and theory of compensating wage differentials are considered. However, much of the gap in wage growth remains unexplained. The distributional analysis of the wage growth shows that the female wage penalty increases significantly as we move along the conditional wage growth distribution, the increase being stronger with employer changes compared to within-firm wage growth.     

The Gender Wage Gap in Europe: Job Preferences,Gender Convergence and Distributional Effects

The gender wage gap has declined over time. However, most of the remaining gap is unexplained, partly because of gender convergence in wage‐determining characteristics. In this paper, we show the degree of convergence differs substantially across Europe. In some countries, predominantly in Eastern Europe, the gender wage gap is entirely unexplained. However, in other countries, differences between the characteristics of men and women explain a relatively large proportion of the wage gap. Gender differences in job preferences contribute 10% to the wage gap, which is more than job tenure, previous employment status or field of study. The role of job preferences is particularly strong at the top of the wage distribution.     

Inter‐industry Wage Differences and Individual Heterogeneity*

Two well‐established findings are apparent in the analyses of individual wage determination: cross‐section wage equations can account for less than half of the variance in earnings and there are large and persistent inter‐industry wage differentials. We explore these two empirical regularities using longitudinal data from the British Household Panel Survey (BHPS). We show that around 90% of the variation in earnings can be explained by observed and unobserved individual characteristics. However, small – but statistically significant – industry wage premia do remain, and there is also a role for a rich set of job and workplace controls.     

A Meta‐Analysis of the International Gender Wage Gap

Abstract.  Since the early 1970s, a number of authors have calculated gender wage differentials between women and men of equal productivity. This meta‐study provides a new quantitative review of this vast amount of empirical literature on gender wage differentials as it concerns not only differences in methodology, data, and time periods, but also different countries. We place particular emphasis on a proper consideration of the quality of the underlying study which is done by a weighting with quality indicators. The results show that data restrictions – i.e. the limitation of the analysis to new entrants, never‐marrieds, or one narrow occupation only – have the biggest impact on the resulting gender wage gap. Moreover, we are able to show what effect a misspecification of the underlying wage equation – like the frequent use of potential experience – has on the calculated gender wage gap. Over time, raw wage differentials worldwide have fallen substantially; however, most of this decrease is due to better labor market endowments of females.