The gender wage gap in Austria: eppur si muove!

We examine the change of the gender wage gap in Austria between 2002 and 2007 using Juhn et al. (Workers and their wages, AEI Press, Washington DC, pp 107–143, 1991) decomposition. We analyze data from Austrian tax records which we merge with social security records and Austrian micro-censuses of the years 2002 and 2007. We find that the gender wage gap declined from 21 % in 2002 to 18 % in 2007. The main determinant of this decline is the relative improvement of women’s unobserved characteristics. The decline of the gender wage gap is also due to women having attained more formal education and to a convergence of men’s and women’s returns to education. Women’s improved educational attainments were partly offset by a shift in the demand for skilled workers that disadvantaged unskilled workers, most of whom are women, resulting in a moderate decrease of the gender pay gap over these years. Robustness checks confirm our results.     

The Rise and Fall of Centralized Wage Bargaining

During the three decades spanning the early 1950s to the early 1980s, the wage‐setting process in most Northern European countries was dominated by centralized bargaining (i.e., peak‐level labor and employer associations set wages nationwide). In the early 1980s, centralized wage bargaining began to collapse. In this paper, we assess a novel explanation for both the initial establishment of a centralized wage‐setting process, and its subsequent collapse. According to our theory, centralized wage bargaining was set up as a response to the spillovers created by the unemployment benefit program. Its collapse was the result of the increase in the productivity gap across workers, brought about by equipment‐specific technological progress and equipment–skill complementarity.     

Same Work,Different Pay? Evidence from a US Public University

Abstract

This study examines detailed data for faculty at a typical public research university in the United States between 1995 and 2004 to explore whether gender wage differentials can be explained by productivity differences. The level of detail – including the number of courses taught, enrollment, grant dollars, and number and impact of publications – largely eliminates the problem of unmeasured productivity, and the restriction to one firm eliminates unmeasured work conditions that confound investigations of wider labor markets. The authors find that direct productivity measures reduce the gender wage penalty to about 3 percent, only 1 percentage point lower than estimates from national studies of many institutions and with fewer productivity controls. The wage structure for women faculty differs markedly from the wage structure for men. Interpreted against the institutional features of wage setting for this population, the paper concludes that penalties for women arise at the department level.     

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.     

Wage differences between Austrian men and women: <Emphasis Type="Italic">semper idem?</Emphasis>

In most OECD countries, the wage gap between men and women has narrowed during the past two decades. Developments of the last 20 years, e.g., increased labour market attachment of women or the introduction of equal pay laws, may have reduced the gender wage gap. We investigate the extent, persistence, and socio-economic determinants of the gender wage gap in Austria, for the years 1983 and 1997. Using wage decomposition techniques, we find that the average gender wage gap was almost as high in 1997 as it was in 1983. Not accounting for differences, the gender wage gap dropped from 25.5 to 23.3% of men’s wages. Taking observable differences between men and women into account, we estimate that the mean gender wage gap that cannot be explained, i.e., discrimination against women, dropped from 17 to 14% of men’s wages. A decomposition of the gender wage gap over time indicates that both returns to human capital and less discrimination were responsible for the narrowing of the gender wage gap.

Sex Differentials in Earnings in the South Korean Labor Market

We examine gender differences in earnings among South Korean workers in 1988 – the year the South Korean National Assembly enacted the Equal Employment Opportunity Act. Using the "88 Occupational Wage Bargaining Survey on the Actual Condition," we calculate women's mean earnings as a percentage of men's mean earnings by major industrial category and educational attainment. We find a larger wage gap among clerical and sales workers than production workers or professionals. Generally, the more education a woman has, the smaller the gap between her earnings and those of her male counterparts. Women with a middle-school education have a mean income 53.5 percent that of comparable men, while the female-to-male wage ratio among college graduates is 76.1 percent. We analyze wage differences separately for women and men. Following Ronald Oaxaca's (1973) work, we decompose male–female wage differentials. We also calculate a discrimination coefficient. Our work shows that, all else equal, men earn from 33.6 percent to 46.9 percent more than women with comparable skills. We attribute the difference to gender discrimination.     

The aftermath of reunification

This article traces the evolution of the East German wage structure throughout the transition period 1992–2001. Wage dispersion has generally been rising. This increase occurred predominantly in the lower part of the wage distribution for women and in the upper part for men. Moreover, the sectoral transition affected female workers to a much larger extent than their male counterparts. A sequential decomposition analysis using quantile regressions reveals that changes in industry‐specific remuneration schemes contributed strongly to the rise in wage inequality in the lower part of the distribution for women, whereas changes in the industry composition alone would have led to a polarization of wages. In contrast, for men, changes in individual characteristics are the single most important factor contributing to the increasing wage dispersion. These gender differences are attributed to employment segregation across industries present right after German reunification.     

Statistical Discrimination and Gender Wage Gap: A Model

In this paper, I extend the model in Coate and Loury (CL) (1993) to show how statistical discrimination by employers can help create gender wage gap for men and women with equal earning potentials. Given that employers do not perfectly observe a worker’s skill type and partly rely on the average skills level of his (her) peers for inference purpose, employers’ differential treatment of male and female workers can create different skill-investment incentives for them, which in turn justify employers’ discrimination in the first place. The second result of this paper which is not possible within the original CL framework is that I point to the possibility that there exist circumstances under which the gender wage gap can not be eliminated without the formerly advantaged sex being negatively affected.     

贸易开放与性别工资差距

本文在不完全竞争市场环境下,建立贸易开放和性别工资差距的数理模型。在理论分析的基础之上,本文运用2002年中国家庭住户收入项目调查数据(CHIP)进行实证分析。在控制了年龄、婚姻状况和受教育年限等个体层面和人均GDP等城市层面的工资影响因素情形下,得出结论:贸易开放在总体上拉大了性别工资差距;贸易开放缩小了高技能劳动力的性别工资差距,拉大了低技能劳动力的性别工资差距。从某种意义上说,女性弱势群体更容易被排除在贸易开放的利益之外。因此,提高女性的受教育程度,并为之提供相应的制度保障具有尤为重要的政策含义。     

Exploring different measures of wage flexibility in a developing economy context: the case for Turkey

In this paper we use Turkish household labor force data to address a number of conceptual issues pertaining to the wage curve, an empirically derived negative relationship between the real wage level and the local unemployment rate. First, we show that in developing economies where labor markets are prone to high degree of segmentation by skill level, local unemployment rates disaggregated by education provide more accurate measures of the degree of group-specific wage competition and hence yield more robust results of the wage curve analyses. Second, we estimate the wage curve using various definitions of the unemployment rate, including discouraged and marginally attached workers, and the long-term unemployment rate to explore the most relevant measure of local labor market tension in the wage setting process. We find that broader definitions of unemployment serve as a more effective reference point in measuring wage flexibility for women, whose attachment to the labor market is substantially weak in the Turkish context; while for men the official and long-term unemployment rates perform well. Finally, using quantile regression we show that wage responsiveness to unemployment cannot be assumed to be constant along the wage distribution. In the Turkish case, we find a higher unemployment elasticity of wages around the median segment of wage distribution. This effect is more pronounced for women.     

Gender segregation and earnings differences in the Spanish labour market

This article analyses the effects of different types of gender segregation on the gender wage differential for the Spanish labour market. Matched employer–employee data from a sample of 226,535 workers are used. These workers are employed in 61 occupations within 26,492 establishments in 51 different industries. Workers belonging to the same industry, establishment or job share common factors which cannot be observed and these factors affect wages. If these unobservable variables are correlated with the explanatory variables, their estimated effects will be biased. For this reason, we estimate the effects of each type of gender segregation on the wage gap using a robust specification to these possible correlations. We obtain that industrial segregation by gender explains a lower part of the wage gap between men and women than previous researches found using standard regressions, while the contributions of establishment segregation and occupational segregation within each establishment are greater.     

Workforce gender effects on firm performance and workers’ pay: evidence for the UK

Using linked workplace–worker data for the UK, a number of hypotheses are tested related to individual gender and the gender composition of the workforce. The proportion of female workers per establishment is strongly negatively associated with median workplace pay. There is some evidence that workplace performance (but not employment size or growth) is positively associated with the female–male workforce ratio. For workers, the female wage penalty (which is substantial) is strongly influenced by the female–male workforce ratio. In addition, commensurate with gender discrimination, those who manage female workers receive lower wages but professional workers in the same establishments do not.     

Can Minimum Wages Close the Gender Wage Gap?

Using manufacturing plant‐level census data, this paper demonstrates that minimum wage increases in Indonesia reduced gender wage gaps among production workers, with heterogeneous impacts by level of education and position of the firm in the wage distribution. Paradoxically, educated women appear to have benefitted the most, particularly in the lower half of the firm average earnings distribution. By contrast, women who did not complete primary education did not benefit on average, and even lost ground in the upper end of the earnings distribution. Minimum wage increases were thus associated with exacerbated gender pay gaps among the least educated, and reduced gender gaps among the best educated production workers. Unconditional quantile regression analysis attests to wage compression and lighthouse effects. Changes in relative employment prospects were limited.     

Investment in human capital and gender wage differences: evidence from the NLSY

This paper uses data from the National Longitudinal Survey of Youth (NLSY) to investigate gender differences in returns to various forms of human capital. Since the NLSY includes relatively detailed information regarding on- and off-the-job training, we place special emphasis on measuring gender differences in the incidence of and returns to formal post-school training. Also considered is the role of nonhuman capital factors such as industry and occupation in explaining the wage gap. It is found that about 60% of the gender wage gap in the sample is explained by mean differences in individual characteristics and market circumstances. This suggests a smaller role for discrimination in explaining the wage gap than previous research has found. The research indicates that training does not affect the gender wage gap. Also it is found that there is no statistically significant difference in the rate of return to other measures of human capital for women versus men. Our research suggests that the largest factors contributing to the wage gap are differences in the stocks of human capital for men and women, and differences in the distributions of men and women across industries and occupations.     

The effects of minimum wages on the health of working teenagers

This article examines the effect of minimum wage increases on the self-reported health of teenage workers. We use a difference-in-differences estimation strategy and data from the Current Population Survey, and disaggregate the sample by race/ethnicity and gender to uncover the differential effects of changes in the minimum wage on health. We find that white women are more likely to report better health with a minimum wage increase while Hispanic men report worse health.     

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     

Decomposing the effect of trade on the gender wage gap

This paper uses variation in exposure to increased Chinese imports in Brazil to investigate the impact of trade on gender wage inequality. First, using Brazilian census data, we find that rising imports reduced the gender wage gap in Brazilian local labour markets. Next, using Oaxaca–Blinder decompositions, we show that this reduction in the wage gap was largely explained by trade increasing the share of female workers in higher-paying occupations. Finally, we use a matched employer–employee data set to investigate how individual workers adjust to the trade shock. Similar to the local labour market analysis, we find that male workers exposed to increased import competition saw a larger decline in both wages and cumulative earnings relative to female workers. In addition, we uncover an interesting asymmetry in that, while male workers exhibited much higher degrees of industry mobility in response to the trade shock, female workers exhibited an equal if not higher degree of occupational mobility.     

A gender analysis of U.S. labor market policies for the working poor

Current anti-poverty policy proposals focus on welfare reform to the exclusion of reforming the low-wage labor market. In contrast, we compare two policy proposals aimed at low-wage labor markets: a national comparable worth policy and an increase in the minimum wage. With both policies we pay specific attention to their impact by gender. Our findings suggest that while both would reduce poverty among working women, the impact of a comparable worth policy on female poverty would be greater under most scenarios presented. It is estimated that an increase of 96 cents per hour in the national minimum wage would be necessary to equal the poverty reduction effect for women workers of a comparable worth policy which excludes small employers. Both policies decrease the incidence of povertylevel wages less among men, since roughly 60 percent of minimum wage workers are women. Additionally, not only would a national comparable worth policy improve the economic status of low-waged women workers, it would also narrow the gap between male and female poverty. While an increase in the minimum wage would also reduce this gap, comparable worth would virtually eliminate it.     

Understanding wage determination in a multi-level bargaining system: a panel data analysis

This article presents an estimation of the elasticity of actual wages to industry-level collective bargaining thereby quantifying empirically the role of industry-level bargaining on wage determination. For this purpose, we use a unique employer–employee panel dataset covering the entire Belgian employment population over 9 years (1998–2006). Like several other European countries, e.g. Germany, France, Italy and the Netherlands, Belgium has a relatively centralised wage bargaining system, with the industry level playing the most important role. Regression results confirm that wage increases collectively decided at the industry level are, on average, fully passed on to individual wages. In addition to industry-level bargaining, we are interested in the supplementary wage increases granted at the firm level, referred to as wage drift or wage cushion in the literature. Our estimates show that wage drift is affected by company size, by the economic performance of the industry and to a much lesser extent by labour market tensions as measured by the local unemployment rate. Interestingly, our results show that industry-level bargaining also takes most of these features into account.