How competitiveness may cause a gender wage gap: Experimental evidence

We show that choices in competitive behavior may entail a gender wage gap. In our experiments, employees first choose a remuneration scheme (competitive tournament vs. piece rate) and then conduct a real-effort task. Employers know the pie size the employee has generated, the remuneration scheme chosen, and the employee׳s gender. Employers then decide how the pie will be split, as in a dictator game. Whereas employers do not discriminate by gender when tournaments are chosen, they take substantially and significantly more from female employees who choose piece-rate remuneration. A discriminatory wage gap occurs which cannot be attributed to employees׳ performance.     

Endogenous schooling and the distribution of the gender wage gap

Previous studies on the gender wage gap have relied on OLS when estimating the wage equations. However, a number of recent studies, devoted to estimating the return to education, have shown that OLS may produce biased estimates for a number of reasons. As a consequence, previous results regarding the gender wage gap may also be biased. In this paper, we first estimate wage equations using a GMM procedure applied to panel data and then investigate the distribution of the gender wage gap. The results indicate that OLS may seriously overestimate the unexplained gender wage gap.First version received: October 2001/Final version accepted: July 2003     

The gender pay gap： Review and update

This paper explores the research behind the wage gap between men and women, the reasons for and extent of the gap, and strategies for dealing with gender pay discrepancies. Historically, gender discrimination was the traditional and easy explanation for pay discrepancies, but more aggressive enforcement of equal pay legislations has virtually diminished the validity of rationalizing the existence of pay differences solely on gender. Statistical data surrounding the pay gap point to other factors as more causal instruments that sustain and perpetuate the gap in spite of more than forty years of enforcement of equal pay legislations. The choices we make seem to predict and explain current wage gaps better than blatant gender discrimination does, and policies directed at improving those choices appear to be better strategic tools in closing the wage gap.     

A quantitative theory of the gender gap in wages

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.     

The gender wage gap among China’s rural–urban migrants

In this study, we present new empirical evidence on gender wage differences among rural–urban migrants in China. We use a data set that includes migrants residing in urban communities and those living at their workplaces—the latter were not included in the previous studies. We find that the gender wage gap among migrants is 16%–18% and does not differ between migrants living at workplaces and those living in urban communities. However, gender differences in industry sorting play a more important role for migrants living at their workplaces, whereas differences in education and experience are of importance for those living in urban communities. Overall, differences in the returns to characteristics are the main driver of the gender wage gap, especially for migrants living in urban communities.     

Expected work experience and the gender wage gap: A new human capital measure

Work experience is a key variable in earnings function estimates and wage gap decompositions. Because data on actual work experience are rare, studies commonly use proxies, such as potential experience. But potential experience is identical for all individuals of the same age and level of education, so it ignores labor market intermittency because of childbirth and child rearing—a critical omission when analyzing gender differences in earnings. This paper constructs a better proxy: expected work experience, which is the sum of the annual probabilities that an individual worked in the past. This measure can be generated using commonly available data on labor force participation rates by age and gender to gauge the probability of past work. Applying the measure to labor force survey data from the Philippines shows that conventional proxies underestimate the contribution of gender differences in work experience in explaining the gender wage gap.     

When does transition increase the gender wage gap?

In the context of underlying stability in female participation rates, the gender wagegap, measured by the log of monthly wages, more than doubled in Belarus from 1996 to 2006. In this respect, the country has experienced a variant of the transition which occurred in the former Soviet Union where relative female wages fell by more than female participation. We have used the Machado and Mata (2005) analysis of the gender gap distribution. This reveals that the effect of coefficients on observed characteristics in widening the gap was increasing over time, especially in the lower and middle deciles of the wage distribution. At the same time, the effect of the characteristics themselves in reducing the gap was shrinking. The decomposition of changes in the gap over time, based on Juhn et al. (1991) , confirms that the contraction of women’s relative wages has been caused both by a deterioration in the observed characteristics of female workers and by the associated remuneration. Changes in the residual wage distribution tend to slightly reduce the gap rather than, as is the case elsewhere, to increase it. The analysis carried out in line with Neuman and Oaxaca (2004) suggests that the increased gap was not caused by sample selection. Instead, two observed factors are found to be mainly responsible for the results: hours of work have increased for men more than for women and women have experienced segregation in low‐wage industries.     

Measuring the gender wage gap—a methodological note

ABSTRACT

We propose to estimate the Blinder-Oaxaca decomposition by a single-equation model augmented with interactions between the group membership and other predictors. The relative importance of predictors on the discriminatory wage gap is examined by the interaction coefficients, which may lead to very different conclusions than the usual percentage calculations using the detailed decomposition method. Comparisons are made between the traditional interpretations and those suggested here using wage data from Finland. The decomposition analysis suggests that the discriminatory male-female wage gap is largely related to work experience, while our preferred model points to the importance of family gap and working industry.     

The gender pay gap in Russia during the transition, 1992-96

This paper explores the link between rising wage dispersion in Russia over the transitional period and the gender pay gap. The work of Blau and Kahn (1996) emphasized a role for 'wage structure' in the determination of the gender pay gap, although some interpretational issues concerning their methodology have been raised recently by Suen (1997). The unadjusted gender pay gap between 1992 and 1996 exhibited some degree of stability, but the analysis presented identified increased wage dispersion as a modest agent for the widening of the gap in Russia. Ordinary Least Squares (OLS) estimates for an equation pooling observations from both gender groups, registered no statistical difference in the mean ceteris paribus gender pay gap between the two years. To complement the mean regression approach, quantile regression procedures were also employed. Although the median regression provided evidence of a statistically significant temporal increase in the gender pay gap, this finding was not supported at other chosen quantiles of the wage distribution. This result was taken to highlight the possible sensitivity of the OLS procedure.
JEL classification: J16, J31, P23.     

Labour market institutions,crisis and gender earnings gap in Eastern Europe

We study gender pay inequality in ten Central and Eastern EU countries before (2007) and during the economic crisis (2009) using quantile regression methods. The analysis reveals remarkable cross‐country diversity in levels and patterns of the gender gap along the earnings distribution; for the majority of the countries the crisis is associated with declining male/female disparities. We address the role played by labour market institutions in shaping the observed gender pay gap levels and patterns. Labour market deregulation increases gender inequality at the middle and at the top of the pay distribution, but reduces disparities at the bottom. Higher union density and wage coordination reduce the pay gap, with stronger equalizing effects on better‐paid jobs. The crisis seems to weaken the already poor role of institutions in the low‐pay sector.     

The Gender Wage Gap in Offered,Observed, and Reservation Wages for Spain

The literature on the gender wage gap and wage discrimination has exclusively analyzed observed wage differences, ignoring inactive or unemployed individuals. In order to obtain a more complete overview of gender wage differences, this paper analyzed inactive or unemployed individuals in terms of offered and reservation wages in Spain in the years 1994, 2000, and 2006. The results show that the observed wages give a more positive perspective of the gender wage gap than offered ones. Furthermore, the existence of an important gender wage gap for reservation wages has been noted, which is possibly because women take charge of household and family caregiving tasks to a greater degree than men. The results show that Spanish women had higher reservation wages and lower offered wages than men, which explains their lower participation in the labor market.     

Understanding the gender wage-gap differential between the public and private sectors in Italy: A quantile approach

This paper analyzes the gender-based wage gaps across the wage distribution in the private and public sectors in Italy for the years 2005–2010. We use quantile regression methods to estimate and decompose the wage gap at all wage levels and propose a two-step procedure that relies on a novel approach to estimating fixed effects quantile regressions. The method's main advantage is that it allows the employment sector's marginal effect on wages at various points of the distribution to be estimated, while accounting for both observable and time-invariant unobservable factors. The new method stresses important differences with respect to standard decomposition analyses and amplifies the differences in the two sectors' wage-setting mechanisms. When the estimation is net of individual heterogeneity, the gender-based wage gap decreases in both sectors and there is evidence of a glass ceiling effect, but only in the public sector. Economic grounds are provided.     

The generational perspective of gender gap in wages and education in southern Europe

This paper aims at investigating gender differentials in wages and education from an intergenerational perspective across four developed countries of southern Europe, considering the generational transmission of preferences and the gender equality systems and policies. Measures of gender inequality in wages and education permit exploring the different extent to which gender gaps depend on unobserved factors, such as discrimination. A first set of discrimination indexes is computed starting from the estimation of extended Mincerian log-earnings equations, whereas a second set is based on the estimation of ordered logistic regressions on a range of personal characteristics considered to be linked to education, controlling for family background. The main results show that family background affects the degree of gender inequality more than the gender equality policies do. Gender disparities in professional outcomes can be partly due to women’s preferences vs. lower-paid jobs because of the incomplete efficacy of national systems.     

Gender gap,capital accumulation and the demographic transition

This paper focuses on explaining the demographic transition and some of the broad patterns that are associated with it. We present an endogenous growth model that incorporates altruism and son preference within the family as well as gender wage gap and gender wage discrimination in the labour market. We show that with the accumulation of physical capital and human capital, the output share of mental labour increases and the gender wage gap narrows. In the early stages of economic development, gender discrimination is becoming prevalent and the substitution effect of capital accumulation, which raises the cost of child rearing, is dominated by the income effect, so the growth rate of population increases with income. When the degree of gender wage discrimination starts to decline, the increased cost of child rearing induces families to invest more in the human capital of children and the growth rate of the population falls. The quantitative analysis shows that gender wage discrimination is indeed an important contributor to the demographic transition.     

Trade tariff,wage gap and public spending

This paper studies the interplay between wage gap and government spending in a small open economy facing a shock in trade policy. We consider a specific factor model with an export sector, which uses skilled labour, and an import-competing sector, which uses unskilled labour. We find the conditions under which there exists an inverse (direct) relation between trade liberalization (protection), which increases (decreases) the skilled-unskilled wage gap, and the level of government expenditure. We also show how either an unbalanced distribution of political bargaining power, or tariff revenue co-financing public spending may break this inverse relation. Moreover, the direct relation between tariff protection and public goods provision can be strenghtened by progressive taxation and weakened by regressive taxation.     

Wage differentials by sector and gender: a quantile analysis for the Spanish case

This paper analyses existing wage differentials between workers in the public and private sectors and by gender in Spain. This analysis is run throughout the entire earnings distribution and observed wage differentials are decomposed into a part explained by differences in productive characteristics and a part due to differences in returns to such characteristics. Our results show that public sector workers tend to earn higher wages than private employees, although most of this sector wage gap is due to better public workers’ productive characteristics. A wage premium in favour of men is also found in both the public and private sectors, with the gender wage gap greater at the top of the earnings distribution.     

Equal Pay for Equal Work? Evidence from Sweden and a Comparison with Norway and the U.S.

Using a new data set covering most privately employed workers in Sweden, we compare gender wage differences to those previously reported for Norway and the U.S. The central finding is that the wage gap is small when comparing men and women working in the same type of occupation for the same employer. Segregation of men and women by occupation accounts for more of the gap in Sweden than in the other two countries. In all three countries, we find that segregation by occupation explains more than segregation by establishment, and that institutional changes over the past two decades aimed at improving the status of women had little effect on the gender wage gap.
JEL classification : J 16; J 71     

Home production,market production and the gender wage gap: Incentives and expectations

We study the joint determination of gender differences in labor earnings and time devoted to home production in an economy where informational frictions give rise to incentive problems in the labor market. Our model generates novel predictions on the relation between earnings, home hours and the incidence of performance pay, which we confront with the data. The empirical evidence broadly supports our hypothesis.     

职业分割、性别歧视与工资差距

文章通过"晒工费"网络平台提供的调查数据,利用Appleton分解方法对我国城镇职工的性别工资差距进行了分解.结果表明,受教育程度、工作年限等人力资本水平对男女工贵差异有显著的影响,而且我国劳动力市场上存在一定的职业性别分割.分解数据显示,职业内工资差异与职业闻工资差异分别为22.5%和15.7%,即存在比较严重的纵向和横向性别职业隔离.此外,分析结果还揭示了职业性别歧视是导致城市男女工资差异的主要原因.     

Occupational skill attainment in Canada: the role of gender,nativity status and ethnic origin

This paper examines how ethnic origin and gender interact to shape the occupational skills attainment of native and foreign born workers in Canada. Of special interest is how the occupational profile of the foreign-born evolves over time relative to that of the native-born, by gender and ethnic origin. We estimate multinomial logit models from 1991 and 2006 census data, and then simulate occupational profiles of the native and foreign-born of different ethnic origin, controlling for human capital characteristics. We find that native and foreign-born women display the ‘glass-ceiling’ and ‘sticky-floor’ syndrome in that they are significantly underrepresented in management positions and overrepresented in clerical positions relative to men, more significantly if their education was not acquired in Canada. There is variation by ethnic origin, and all groups display significant occupational mobility over time. But even after 15?years, foreign-born occupational distributions differ substantially from those of the native-born.