IMMIGRANT RELATIVE WAGES AT THE GREAT RECESSION: EVIDENCE WITH MATCHED EMPLOYER‐EMPLOYEE DATA FOR SPAIN

The article examines relative wages of immigrants in Spain, with a particular focus on the impact of the Great Recession. The empirical analysis is restricted to men and is based on matched employer‐employee microdata and the decomposition techniques of Juhn et al. (1991, 1993) and Fortin et al. (2011). Our results show that the significant native‐immigrant wage gap that exists both in terms of average wages and of differentials along the wage distribution is essentially explained by differences in the endowments of observed characteristics so that, in general, immigrants tend to receive a similar wage treatment than Spaniards with analogous observed attributes. On the other hand, the Great Recession has had a noticeable impact on the relative wages of immigrants, given that the significant increase of the native‐immigrant wage gap observed during the previous expansionary period was mitigated during the economic downturn due to composition effects arising from the severe employment destruction pattern.     

Lost in translation? The relative wages of immigrants in the Portuguese labour market

This article examines the wage gaps between immigrant and Portuguese workers using matched employer–employee data for the 2002–2008 period. We found that most of the wage gap is not due to the worst endowments of the immigrants but to differences in the returns to those characteristics and to the immigrant status effect. In particular, immigrants’ education and foreign experience are significantly less valued in the Portuguese labour market. Overall, the wages of immigrants do not fully converge to those of comparable natives as domestic experience increases. The assimilation rates tend to be stronger in the first years after migration and for immigrants with higher levels of foreign experience. Total immigrants are a heterogeneous group of different nationalities, with immigrants from the EU15 and China starring as the two extreme cases.     

Wage Performance of Immigrants in Germany

This paper updates and deepens our understanding of the wage performance of immigrants in Germany. Using the German Socio‐Economic Panel, it documents that immigrant workers initially earn on average 20% less than native workers with otherwise identical characteristics. The gap is smaller for immigrants from advanced countries, with good German language skills, and with a German degree, and larger for others. The gap declines gradually over time but at a decreasing rate and much faster for more recent cohorts. Less success in obtaining jobs with higher occupational autonomy explains half of the wage gap.     

Wage discrimination,occupational segregation and visible minorities in Canada

The earnings gap between each of Whites, Asians, and Blacks is decomposed into the effects on earnings of productivity-related characteristics, wage discrimination and occupational segregation. Unlike previous Canadian studies, this paper analyses the relative economic position of both immigrant and native-born visible minorities and explicitly incorporates the effect of discrimination in occupational attainment on the earnings gap. The results indicate that policies aimed at increasing the ethnic representation across occupational categories would be effective only for Black men. Anti-discrimination legislation aimed at decreasing the earnings gap between visible minority and White women should have a dual focus: they should aim at reducing the inter-occupational wage discrimination; they should provide training programs to extend the career ladders confronting ethnic minority women.     

Gender wage gap across the wage distribution in different segments of the Indian labour market, 1983–2012: exploring the glass ceiling or sticky floor phenomenon

Women’s participation in the Indian labour market is not only low but they are also engaged in low-productivity and low-paying jobs. Further, the labour market is segmented by gender, type of employment, sector and location of residence. This study makes an important contribution by examining gender wage gap in India across different segments of the labour market over the wage distribution using national-level representative data spanning the period 1983 to 2012. The empirical results suggest that (i) the male–female raw wage gap has declined over time across the wage distribution, (ii) the gender wage gap attributable to differing returns to characteristics has increased over time and there is evidence of convergence of productive characteristics of men and women, (iii) sticky floor rather than glass ceiling phenomenon is observed in all segments of the labour market and (iv) the adjusted wage gap suggests that women at the bottom of the distribution face higher discrimination than those at the top and this has increased over the years.     

The trend over time of the gender wage gap in Italy

We analyse gender wage gaps in Italy in the mid-1990s and in the mid-2000s. In this period, important labour market developments took place and they could have had a gender asymmetric impact on wages. We identify the time trends of different components of the gender wage gap across all the wage distribution. Although the unconditional gender wage gap remained roughly constant over time, we find that the component of the gap due to different rewards of similar characteristics deteriorated women’s relative wage. We show that especially women at the centre-top of the wage distribution swam against the tide: while the trend in female qualifications slightly reduced the gender wage gap, the gender-relative trends in the wage structure significantly increased it.     

Qualifications,discrimination, or assimilation? An extended framework for analysing immigrant wage gaps

In this paper, we analyze immigrant wage gaps and propose an extension of the traditional wage decomposition technique, which is a synthesis from two strains of literature on ethnic/immigrant wage differences, namely the assimilation literature and the discrimination literature. We estimate separate wage equations for natives and a number of immigrant groups using panel data sample selection models. Based on the estimations, we find that the immigrant wage gap is caused by a lack of qualifications and incomplete assimilation, and that a large fraction of that gap would disappear if only immigrants could find employment and thus accumulate work experience.First version received: June 2001 / Final version received: October 2003The project has been supported financially by the Danish Research Agency (the FREJA grant) and TSER. Furthermore, the first author received support from the Danish Social Science Research Council (SSF) while this work was undertaken. We are grateful for comments from the editor of Empirical Economics, Bernd Fitzenberger, two anonymous referees, several seminar and conference participants, and for the research assistance done by Thomas H. Jensen.     

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.     

Glass Ceiling or Sticky Floor? Exploring the Australian Gender Pay Gap

Using the Household, Income and Labour Dynamics in Australia survey, this paper analyses the gender wage gaps across the wage distribution in both the public and private sectors in Australia. Quantile regression techniques are used to control for various characteristics at different points of the wage distributions. Counterfactual decomposition analysis, adjusted for the quantile regression framework, is used to examine if the gap is attributed to gender differences in characteristics, or to the differing returns between genders. The main finding is that a strong glass ceiling effect is detected only in the private sector. A second finding is that the acceleration in the gender gap across the distribution does not vanish even after account is taken of an extensive set of statistical controls. This suggests that the observed wage gap is a result of differences in returns to genders. By focusing only on the mean gender wage gap, substantial variations of the gap will be hidden.     

Gender Wage Differentials and Occupational Segregation in Hong Kong, 1981–1996

This paper analyses gender wage differentials and the role of occupational segregation in Hong Kong. It is found that the female–male earnings ratio increased substantially from 0.710 in 1981 to 0.839 in 1996. A decomposition which takes into account occupational differences shows that the gender pay gap is mostly within occupations and most of the intra‐occupation wage gap is unexplained. The gender pay differential due to occupational differences is small; in fact, the overall occupational segregation favours females in Hong Kong.     

The gender wage gap among recent post‐secondary graduates in Canada: a distributional approach

Using the National Graduates Survey, we examine the trends in the gender wage gap among recent post‐secondary graduates in Canada between 1988 and 2007. Female graduates earn on average 6–14% less than males during the period two to five years after graduation. Decompositions show that observable personal characteristics and job attributes can explain only a small portion of the wage gap. We also find that men earn more than women at every point of the distribution. Interestingly, the wage difference shrank in the lower half of the distribution in recent years, while it increased in the upper half.     

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.     

Evidence on the glass ceiling effect in France using matched worker-firm data

In this article, we investigate the relevance of the glass ceiling hypothesis in France, according to which there exist larger gender wage gaps at the upper tail of the wage distribution. Using a matched worker-firm data set of about 1 30 000 employees and 14 000 employers, we estimate quantile regressions and rely on a principal component analysis to summarize information specific to the firms. Our different results show that accounting for firm-related characteristics reduces the gender earnings gap at the top of the distribution, but the latter still remains much higher at the top than at the bottom. Furthermore, a quantile decomposition shows that the gender wage gap is mainly due to differences in the returns to observed characteristics rather than in differences in characteristics between men and women.     

Firm heterogeneity and immigrant wage assimilation

This article investigates the role of job mobility in immigrant wage assimilation. I use longitudinal linked employer–employee data for Portugal to estimate the immigrant wage catch-up in log wage regressions with both individual and firm fixed effects. I show that moving to firms with higher wage premiums accounts for approximately 30% of the immigrant wage catch-up in the first years.     

Why do women still earn less than men? Decomposing the Dutch gender pay gap, 1996–2006

Despite major improvements in women's labour market attachment, women still earn considerably less than men. International research shows that the persistence of the gender pay gap may be due to the fact that although the gap in characteristics between men and women is diminishing, changes in the wage structure counteract this change. This article will study whether this ‘swimming upstream’ phenomenon is also playing a role in the rather slow convergence between male and female wages in the Netherlands. Our results indicate that this is not the case; most of the changes in the Dutch wage structure have been rather favourable to women. The lacking convergence in wages has to be explained from the fact that despite the favourable changes, the Dutch wage structure still contains a considerable implicit gender bias.     

Gender Wage Gap: Some Recent Evidences from India

Gender wage inequality is a chronic socioeconomic malice in developed as well as in developing countries. This paper describes the outcomes of our study on the estimation of gender wage gap in the Indian labour market, using the 68th Round NSSO employment–unemployment data. The study uses Blinder–Oaxaca decomposition technique and Heckman two-step methodology, for removal of selectivity bias in the sample data, to measure the components of total gender wage gap, viz. (1) occupational segregation (explained by economic rationale) and (2) direct discrimination (not explained by economic rationale). The analysis indicates that the maximum direct discrimination is for job-related factors, such as industry type which are controlled by employers. The majority of the Indian employers today are men, which may be the reason for the insensitivity to the chronic direct discrimination against women in workplaces. The study also indicates that most of the explained gender wage gap is due to lower skill and experience amongst women. The findings suggest that besides labour law reforms for ensuring gender neutrality in workplaces, focused government policies for promoting women entrepreneurship and skill development of women are urgently required for reducing the gender wage gap in India.

     

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.     

Gender differences in productivity rewards: the role of human capital

In this paper, we evaluate the gender wage gap component due to differences in characteristics’ rewards in Italy. The main focus is on the relationship between human capital characteristics and gender differences in rewards. We propose a methodology that combines the quantile regression analysis with non-parametric procedures for the estimation of the probability density functions of reward differentials in order to evaluate the evolution of the gap due to human capital characteristics. The analysis is carried out on Italian data taken from the latest available cross-section of the European Community Household Panel (2001). Our study suggests that education can be a good productivity signal and helps reduce the range of the gap; furthermore, highly educated women experience lesser gender-based pay differences as the length of the employment relationship increases.     

Segregation and gender wage gaps in the private and the public sectors: an analysis of Danish linked employer–employee data, 2002–2012

This paper examines the relation between segregation and the gender wage gap in the public and the private sectors in Denmark from 2002 to 2012. The analysis shows that male–female differences in the share of females in occupations, industries, establishments and job cells (occupations within establishments) constitute 46 % of the raw gender wage gap in the private sector, while segregation in the public sector accounts for as much as 63 %. Segregation thus plays a substantially more important role in accounting for the gender wage gap in the public sector than in the private sector. While the importance of segregation for wage formation decreased substantially in the public sector over time, it only decreased slightly in the private sector. Although the remaining gender wage gap, after controlling for segregation, is close to zero in the public sector, a substantial within-job cell differential remains after controlling for segregation in the private sector.     

Migration,community networks and welfare in neoclassical growth models

This paper proposes a Ramsey-Like model of growth with endogenous migration to study the effects of migration networks on the macroeconomy and welfare of hosting economies. In the model, migration is assumed to be made of two different components: a first, forward-looking component in which the rate of net migration depends on the wage gap between countries; a second, backward-looking component in which in-migration depends on the immigration history of the destination country through the formation of immigrant networking. We find that the model exhibits a unique saddle-path steady-state equilibrium and that introducing pro-immigration policies aimed at enhancing community networks have asymmetric impacts on the welfare level of natives and immigrants that hinge on the relative size of immigrant communities.