Firm‐level Evidence on Gender Wage Discrimination in the Belgian Private Economy

In this paper we explore a matched employer–employee data set to investigate the presence of gender wage discrimination in the Belgian private economy labour market. Contrary to many existing papers, we analyse gender wage discrimination using an independent productivity measure. Using firm‐level data, we are able to compare direct estimates of a gender productivity differential with those of a gender wage differential. We take advantage of the panel structure to identify gender‐related differences from within‐firm variation. Moreover, inspired by recent developments in the production function estimation literature, we address the problem of endogeneity of the gender mix using a structural production function estimator alongside instrumental variable‐general method of moments (IV‐GMM) methods where lagged value of labour inputs are used as instruments. Our results suggest that there is no gender wage discrimination inside private firms located in Belgium, on the contrary.     

The Impact of Worker and Establishment‐level Characteristics on Male–Female Wage Differentials: Evidence from Danish Matched Employee–Employer Data

Abstract. This paper uses matched employer–employee data from Denmark to examine how gender segregation at the level of occupation, industry, establishment, and job‐cell impacts the gender wage differential of full‐time, private‐sector salaried and manual workers. Wage effects of gender segregation at the above four levels are estimated through fixed effects or through controls for the proportion females within these structures. We find that occupation has a much larger role than industry or establishment in accounting for the gender gap for salaried but not manual workers, and that for both groups there is a significant within‐job‐cell gender wage differential.     

The Gender Wage Gap and Poverty in Colombia

Abstract. Using 19 years of cross‐section wage data, we look at the trend of the ratio of male to female wages in Colombia. First, we observe a long‐term trend towards an increase in the gender wage gap that may be related to new labor regulations giving more protection to women and thereby raising the cost of female employment for firms. Second, we measure the impact on poverty of the increasing gap by producing estimates of the income distribution for the subsequent years had the wage gap remained at the low level it used to be in the early 1990s. As mainly low‐skilled women suffered from the increase in the wage gap, we find that the phenomenon contributed to an overall increase in poverty during the decade.     

Discriminatory Barriers and the Gender Wage Gap in France

Abstract. In this paper, we propose a method of decomposition that identifies the wage effect of the gender discriminatory barriers in the allocation of grades and full‐time jobs. Standard decomposition techniques tend to interpret the explained portion as a non‐discriminatory component, though discriminatory barriers in the labour market also affect the characteristics of individuals. Using survey data generated by INSEE in France in 2000, we find some evidence that the gender discriminatory barriers within the French labour market explain much of the difference between men and women's attainment and full‐time employment. Our method substantially changes the traditional empirical conclusions since the discriminatory barriers in the allocation of grades and full‐time jobs account for one quarter of the gender monthly wage gap. When adding to the pure wage discrimination portion, we thus show that half of the gender monthly wage gap is not explained.     

Does Rent‐sharing Profit Female and Male Workers? Evidence from Israeli Matched Employer–Employee Data

This paper analyses the impact of workplace characteristics on individual wages based on a unique cross‐section matched employer–employee data set for the Israeli private manufacturing sector in 1995. Specifically, we examine the effects of the interaction between profit‐sharing and wages on the gender wage gap. The empirical findings show that individual compensation is significantly and positively correlated with firms’ profits‐per‐employee, even when controlling for all of the following: group effects in the residuals, individual and firms’ characteristics, industry wage differentials and endogeneity of profits. Wage–profit elasticity is found to be 11 per cent and it does not significantly differ between genders. With respect to the overall gender wage gap (on average women earn 28 per cent less than men), the results show that within firms there is no gender discrimination and that 12 per cent of this gap can be explained by the wage–profits profile and by the fact that women are more likely to be employed in less profitable firms than men.     

The Gender Wage Gap in the Turkish Labor Market

Abstract. This paper examines the sources of the gender wage gap in the Turkish labor market by using matched employer–employee data and the standard wage regression estimations as well as the Oaxaca decomposition method. The extensive number of variables in the data set enables a thorough quantitative analysis of the role of various individual‐ as well as firm‐related factors leading to wage differentials between men and women, namely human capital endowments including job tenure, occupational and industrial segregation, private/public sector location, coverage of the workplace under collective labor bargaining, and firm size. It also examines the extent of gender‐based industry and occupational segregation within the confines of data set and computes the Duncan & Duncan segregation index. We find that a large portion of the gender wage gap is attributable to women's considerably lower levels of work experience and job tenure. Other important variables that lead to pay differentials are women's lower concentration in jobs covered by collective labor bargaining and a substantial degree of occupational and industrial segregation. The differential rates of return to many of the wage determinant variables are also found to be significant in the formation of the gender wage gap.     

Analysing the Gender Wage Gap (GWG) Using Personnel Records

We use monthly personnel records of a large German company for the years 1999–2005 to analyse the gender wage gap (GWG). The unconditional GWG is 15 per cent for blue‐collar and 26 per cent for white‐collar workers. Different returns to entry age explain a substantial part of the GWG as well as segregation of men and women in different hierarchical levels. The relative GWG increases with increasing tenure for blue‐collar but declines for white‐collar workers. Taking into account the different impact of general and firm‐specific human capital on white‐collar and blue‐collar occupation, this is consistent with theories of statistical discrimination.     

The Early‐career Gender Wage Gap among University Graduates in the Finnish Private Sector

In the Finnish private sector, the gender wage gap increases significantly during the first 10 years after labour market entry, accounting for most of the lifetime increase in the gender wage differentials. This paper investigates the reasons for this gender difference in early‐career wage development. By focusing on university graduates the paper considers several explanations based on the human capital theory, job mobility, and labour market segregation. The results suggest that only about 20–26 per cent of the average early‐career gender wage gap is explained by gender differences in experience, the field of education, employer characteristics, and mobility. A substantial unexplained gap thus remains. Of the investigated factors gender differences in the field of education and work experience matter most.     

Social Network and Wage: Evidence from Cameroon

Using Cameroonian data, this paper investigates the effects of social network on wage. Social network is measured in terms of using friends and relatives while looking for a job. In order to evaluate the effectiveness of social network with regard to wage, we make use of Heckman selection model. Our findings contrast with previous studies. After factoring the endogeneity and sample selection, we find that Job seekers who make use of social network exhibit a wage premium of 1.53 per cent of average wage. We also find that social network contributes to explain wage differential according to gender and institutional sectors (formal versus informal).     

Occupational Attainment and Earnings: The Case of the Disabled

Abstract. This paper offers, for the first time, an investigation of wage differentials between disabled and non‐disabled workers in Sweden. It extends the traditional wage decomposition by incorporating explained and unexplained differences in occupational attainment. Data from the Swedish Level of Living Survey for 1981 and for 1991 have been used. The results show that in both years the disabled worked in low‐level occupations to a greater extent relative to the non‐disabled. This is due to the fact that disabled workers have lower qualifications. The unexplained component due to differences in returns on wage determinants is insignificant in the 1981 case but is highly significant in 1991, constituting around 50–60 per cent of the average log wage differential.     

The Male–Female Wage Gap and the Firm Effect: The Case of Young Italian Workers

Abstract. The idea that wages are determined by firm and individual characteristics suggests that there is a firm effect that influences wage differentials. This paper presents the results of an empirical analysis of gender wage differentials — based on INPS data for people between the ages of 20 and 25 employed in the private sector in 1996 — which takes into account the characteristics of workers and firms using a two‐level random‐effects model. Firm variables proved to be significant, and the proportion of females in the firm showed a negative effect on the wages of both men and women.     

Size,Skill and Sorting

Abstract. The rise in inequality between the 1970s and the 1990s and the persistent gap in pay between large and small employers are two of the most robust findings in the study of labor markets. Mainstream economists focus on differences in observable and unobservable skills to explain both the overall rising inequality and the size–wage gap. In this paper we model how increasing returns to skill can affect the size–wage gap both with constant sorting and with size‐biased, skill‐biased technological change (e.g. if large firms always had access to computers, but small firms gained access to computers with the rise of affordable personal computers). We analyze the Current Population Surveys from 1979 to 1993 to determine whether large and small employers are converging in terms of mean wages (the employer size–wage effect), wage structures by occupation and education, characteristics of employees, and wage structures by region. We find mixed evidence of convergence and no consistent support for any single version of human capital theory.     

The Motherhood Wage Penalty and Its Determinants: A Public–Private Comparison

We investigate whether public and private sector employees bear a different wage penalty for having children. According to our estimates, the total motherhood wage penalty is much larger in the private than in the public sector. Nevertheless, in both sectors, we find no unexplained penalty once we control for potential determinants of the family pay gap, namely, a reduced labour supply of mothers, child‐related career interruptions, less access to management positions, and adjustments in working conditions. Finally, only child‐related career interruptions play a different role in explaining the motherhood wage penalty in each sector.     

Strike Outcomes and Wage Settlements in Spain

Abstract. This paper analyses collective bargaining using Spanish firm‐level data. Central to the analysis are the joint determination of wage and strike outcomes in a dynamic framework and the possibility of separate wage equation for strike and non‐strike outcomes. Conditional to strikes taking place, we confirm a negative relationship between strike duration and wage changes in a dynamic context. In this sense, the joint effect of the strike variables is positive for short strikes and negative for long ones (above 20 days). Furthermore, we find selection in wage equations induced by the strike outcome. In this sense, the possibility of wage determination processes being different in strike and non‐strike samples is not rejected by the data. In particular, wage dynamics are of opposite sign in both strike and non‐strike equations. Finally, we find evidence of a 0.33 percentage points wage change strike premium.     

Unionization and Labour‐market Discrimination: A Closer Look at Non‐unionized Workers

This paper introduces a model that examines the effects of unions on pay and hiring gaps between non‐unionized men and women in the context of imperfect competition. Although the model does not question the advantages unions obtain for their members, it does show that (1) unions increase wage and occupational discrimination for non‐unionized workers; (2) the non‐unionized sector does not constitute a good comparison group for use in analysing the impact of unions on gender discrimination; and (3) public policies targeting gender differences in occupational sorting can also have a positive impact on gender wage differentials.     

Why Do Women's Wages Increase So Slowly Throughout Their Career? A Dynamic Model of Statistical Discrimination

Abstract. The aim of this paper is to explain the growing wage differentials between men and women during their working careers. We provide a dynamic model of statistical discrimination, which integrates specific human capital decisions: on‐the‐job training investment and wages are endogenously determined. We reveal a small wage differential at the beginning of women's career, but women's wages increase more slowly; this is partly due to a lower level of human capital investment by women and partly because firms smooth training costs between different periods.     

Labour Market Institutions and the Gender Wage Gap in Britain and Australia, 1973–90

The importance of wage structure is frequently interpreted as indirect evidence of the role played by labour market institutions. The current paper follows in this tradition, examining the role of wage structure in explaining the trend in the gender wage gap over the period 1973–91 for both Australia and the UK. The focus is upon whether changes in wage structure (and associated gender wage gap) both across country and over time are compatible with institutional explanations. Combining comparisons both cross‐country and over time yields a more stringent, albeit indirect, test of the role of institutions.     

Technology Effects on Wages in Finnish Manufacturing

In this paper we study the effect of technology on establishment‐level wages using a classification of manufacturing industries based on four technology levels. The technology wage premiums are estimated separately for non‐manual and manual workers using wage equations with available control variables for plant and workforce characteristics (human capital) over the time period 1974–93. The results do not show a straightforward increasing relationship between a plant’s average wages and its technology at higher technology levels. However, establishments with the lowest technology level paid the lowest wages during the whole period. We also find that the relative non‐manual to manual wage ratio increased over the time period in the highest technology levels. These findings are consistent with technology wage premiums and skill‐biased technological change found in studies for other countries     

Is There a Double‐Negative Effect? Gender and Ethnic Wage Differentials in Italy

This paper investigates the gender and ethnic wage differentials for female migrants in Italy by applying the Oaxaca–Blinder decomposition, with and without Heckman correction, to account for self‐selection into the labour market. The gender wage gap is nearly 15 per cent, more than 60 per cent of which is unexplained by observable differences. The ethnic wage gap is much larger (39 per cent), but endowments explain 53 per cent of the gap. We also estimate the double‐negative effect of being both female and a migrant. A female migrant earns 42 per cent less than an Italian male; the unexplained component is estimated to be 53–65 per cent. Results are robust to different specifications.     

A Distributional Analysis of Public–Private Wage Differential in India

In this paper, we examine public–private wage differential among men in India across the entire wage distribution. We find that the raw wage gap between public and private sector is positive across the entire wage distribution in both urban and rural areas. A quantile regression‐based decomposition reveals that that the public sector workers enjoy a positive wage premium across the entire wage distribution in both urban and rural areas, although the magnitude of wage premium is smaller at the top quantiles.