Wage Differentials between the State and Private Sectors in Moscow

In this study the 1997 Russian Labor Force Survey is used to investigate wage differentials between the state and the private sector in the city of Moscow. Our analysis demonstrates that substantial differences exist between private and state sector wages. We estimate the gap between private and state sector wages to be 14.3 percent for men and 18.3 percent for women. We also find gender differences in wages. Men in the private sector earn on average 23.7 percent more than women. The gender wage gap in the state sector is even higher at 32.5 percent. In the state sector, wages for both men and women increase as years of tenure increase. But in the private sector this is only true for men; women earn no return to tenure. The probability of employment in the private sector decreases with age and tenure.     

Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data

Considerable effort has been exercised in estimating mean returns to education while carefully considering biases arising from unmeasured ability and measurement error. Recent work has investigated whether there are variations from the “mean” return to education across the population with mixed results. We use an instrumental variables estimator for quantile regression on a sample of twins to estimate an entire family of returns to education at different quantiles of the conditional distribution of wages while addressing simultaneity and measurement error biases. We test whether there is individual heterogeneity in returns to education and find that: more able individuals obtain more schooling perhaps due to lower marginal costs and/or higher marginal benefits of schooling and that higher ability individuals (those further to the right in the conditional distribution of wages) have higher returns to schooling consistent with a non-trivial interaction between schooling and unobserved abilities in the generation of earnings. The estimated returns are never lower than 9 percent and can be as high as 13 percent at the top of the conditional distribution of wages but they vary significantly only along the lower to middle quantiles. Our findings may have meaningful implications for the design of educational policies.     

A Quantile Regression Analysis of Wages in Panama

Differences in the effects of worker characteristics on wages in Panama at different points of the conditional wage distribution are investigated. Public sector employment increases wages relatively more at lower quantiles. Within the public sector, employment in that sector increases wages of the median worker and reduces wage inequality. Presence of a labor union increases relatively more private sector wages at lower quantiles. Unions reduce wage inequality within the union private sector and increase average wages within that sector. In the public sector, the presence of a labor union increases wages of men at lower quantiles at a lower rate than in the private sector. Self-employment decreases wages at lower quantiles and increases wages at higher quantiles. Urban location affects wages in a U-shaped pattern as one moves from lower to higher quantiles. Rates of return to experience are higher for men at higher quantiles. Experience increases men's wage inequality.     

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 Cyclicality and Composition Bias in the Norwegian Economy*

Using employer–employee register data, I estimate the real wage semi-elasticity of aggregate unemployment for the years 1997–2014 in the Norwegian private sector. An increase of 1 percentage point in aggregate unemployment is associated with an average decrease of 2 percent in (total) daily wages. Although Norway has influential labor market institutions, wages in the Norwegian private sector are quite sensitive to business-cycle fluctuations. Gender differences in wage cyclicality and compositional variation are considerable. Men have significantly more procyclical wages than women, and appear more likely to upgrade procyclically to better-paying firms.     

Employment shifts, economic reform and the changes in public/private sector wages in Mexico: 1987–1997

Over the last decade, the public sector in Mexico experienced substantial fiscal reform, divestiture of public enterprises, and the elimination of many regulations affecting pay and employment. This study analyzes the changes in the public/private sector differences in wages during the 1987–1997 period. The results from analyzing microdata from the Encuesta Nacional de Empleo Urbano show that relative public sector wages increased from 1987 to 1997. Most of the relative wage increase in the public sector can be explained by increases in the price of skills and by changes in sorting across sectors. The results have important public policy implications since they suggest that public sector workers earn more and their wages have grown faster than those of their private sector counterparts. As such, policies contemplating public sector reform should take into account the effect of these measures on the inter-sectoral income distribution and the overall economic growth. First version received: April 2000/Final version received: December 2000     

Economic liberalization and urban–rural inequality in India: a quantile regression analysis

We examine India’s urban–rural inequality in welfare in 1993–1994 and 2004, a period which coincides with the country’s economic liberalization reforms and rapid economic growth. Using real monthly per capita household consumption expenditure as our measure of welfare, we estimate quantile regressions to analyze the urban–rural welfare gap across the entire welfare distribution. While the urban–rural welfare gap was fairly convex across the welfare distribution in 1993–1994, it became more concave in 2004, with the gap narrowing for the lowest and highest quintiles and widening for the middle three quintiles. The urban–rural gap in returns to all levels of education widened substantially for the bottom four quintiles but became increasingly negative for the top quintile. Applying the Machado and Mata (J Appl Econom 20:445–465, 2005) decomposition technique to decompose the urban–rural welfare gap at each percentile, we find that for the bottom 40% of the distribution, differences in the distribution of covariates became less important while differences in the distribution of returns to covariates became more important in explaining the gap. The opposite was true for the top 40% of the distribution. Our analysis suggests that while the rural poor appear to be catching up with their urban counterparts in terms of labor market characteristics, ten years of economic reforms have intensified the urban–rural gap in returns to these characteristics. On the other hand, the rural rich lag even further behind the urban rich with respect to their labor market characteristics even though the urban–rural gap in the returns to these characteristics has diminished during the reform period. Future efforts to generate urban–rural equality may require policies that seek to equalize returns to labor market characteristics between the two sectors at the lower half of the distribution and improve rural labor market characteristics at the top half of the distribution.     

Are low-skill public sector workers really overpaid? A quasi-differenced panel data analysis

Public–private sectoral wage differentials have been studied extensively using quantile regression techniques. These typically find large public sector premiums at the bottom of the wage distribution. This may imply that low skill workers are ‘overpaid’, prompting concerns over efficiency. We note several other potential explanations for this result and explicitly test whether the premium varies with skill, using Australian data. We use a quasi-differenced Generalized Method of Moments (GMM) panel data model which has not been previously applied to this topic, internationally. Unlike other available methods, this technique identifies sectoral differences in returns to unobserved skill. It also facilitates a decomposition of the wage gap into components explained by differences in returns to all (observed and unobserved) skills and by differences in their stock. We find no evidence to suggest that the premium varies with skill. One interpretation is that the compressed wage profile of the public sector induces the best workers (on unobserved skills) to join the public sector in low wage occupations, vice versa in high wage occupations. We also estimate the average public sector premium to be 6% for women and statistically insignificant (4%) for men.     

The dynamics of wage determination in Romania

This article examines wage developments in Romania over the last 20 years, discusses the evolving role of government wage policy and structural labour market changes, and analyses the dynamics of the wage determination process. It finds that government wage policy has had a significant demonstration effect on private sector wages, driven mainly by policy decisions over the past few years. The article also finds strong causality from private sector wages to wages in state‐owned enterprises (SOEs) and government. No causality was found for changes in government wages to wages in SOEs or from SOE wages to private sector wages.     

Caste discrimination in the Indian urban labour market: An econometric analysis

This paper uses Degree Holders and Technical Personnel Survey of India to examine the wage gap between Non-Scheduled Castes/Tribes(NSC) and Scheduled Castes/Tribes(SC/ST). Separate wage equations, corrected for selection bias, are estimated for NSC and SC/ST. The parameter estimates of the wage equations were decomposed into ‘endowment’ and ‘treatment’ components using the familiar Oaxaca Decomposition Method. A separate account was also made to analyze the interaction between occupational attainment and the wage differential using the extended decomposition method. The main conclusion from the econometric results are: (a) the endowment difference is higher and discrimination causes 15 per cent lower wages for SC/ST as compared to NSC; (b) the discrimination coefficient is negative in the public sector whereas it is positive in the private sector; (c) intraoccupational wage effects dominate. The higher endowment difference in developing countries like India implies that the pre-market discriminatory practice with respect to education, health and nutrition are more crucial than labour market discrimination. (JEL: J3)     

The wage effects of training in Portugal: differences across skill groups,genders, sectors and training types

This article investigates the determinants and wage effects of training in Portugal. In a first stage, we show that there are considerable differences in training participation across groups of workers, with elder and low educated individuals participating substantially less. In a second stage, we show that training has a positive and significant impact on wages. The estimated wage return is about 30% for men and 38% for women. Discriminating between levels of education and working experience and the public and private sector reveals important differences across categories of workers. We find that women, low educated workers and workers with long working experience earn larger returns from training. The average effect of training is similar in the private sector and the public sector. However, differences across experience groups are larger in the private sector, while differences across education groups are larger in the public sector. We use three alternative classifications of training activities and find that training in the firm, training aimed to improve skills needed at the current job and training with duration less than a year are associated to larger wage gains.     

A contribution to the public–private wage inequality debate

This paper studies the public–private wage inequality in Romania. Although public sector employment is perceived as safer and offering more benefits, we find that in Romania it also offers higher wages, after controlling for experience, education and gender. This result is at odds with the negative premium uncovered in other transition economies. The public–private wage premium is increasing across the wage distribution, leading to more inequality in the public sector. Decomposing the wage premium into the effect of personal characteristics, coefficients and residuals, we show that only about half of this premium can be attributed to personal characteristics, especially in the top half of the wage distribution. We also find that the number of other public sector employees in the family is a significant driver of public sector employment, facilitating access to jobs. However, the effects of self‐selection are negligible, the premium being still positive and significant after controlling for this.     

Labour market effects of public capital stock: evidence for the Spanish private sector

This paper provides a new rationale for the positive effect of public capital stock on employment and wages. We show that higher levels of public capital reduce wages along the wage equation and enhance employment due to the resulting larger elasticity of labour demand with respect to wages. The estimation of a structural model for the Spanish private sector reveals that this wage channel is empirically relevant. We use the estimated parameters to simulate the recent incidence of the ratio of public to private capital stock on the private sector economic performance. We find (i) sizeable effects on employment, capital stock and gross domestic product, and (ii) that the wage channel is particularly important for employment.     

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.     

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.

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.     

Increasing wage dispersion and the changes in relative employment and wages in Mexico's urban informal sector: 1987-1993

This study analyses the role of changes in informal/formal relative employment, wage levels and wage inequality in explaining increasing wage dispersion in Mexico during the 1987–1993 period. From 1987 to 1993, the variance of the log of hourly wages for Mexican workers increased by more than 50 per cent. Using data from the Encuesta nacional de empleo urbano we find that this increase in the overall wage dispersion was mainly driven by increasing wage dispersion in the formal sector coupled with a faster growth in formal sector employment as a percentage of total employment. However, compression in the distribution of wages within the informal sector contributed to substantially slowdown the increasing overall wage inequality. About 60 per cent of the 1987–1993 4.65 percentage point reduction in the informal sector share of total employment is explained by changes in the structure that determines sectoral employment; the rest is explained by changes in the composition of the labour force, particularly increases in the sectoral education gap and a change in the regional relative share of sectoral employment. Also, from 1987 to 1993 the sectoral wage ratio increased from 0.59 to 0.63. It seems that a relative improvement in unobserved skills in the informal sector helped to close the wage differential but this effect was partially offset by an increase in the relative prices of both observed and unobserved skills, as well as increases in relative observed skills in the formal sector, particularly education.     

Changes in the Austrian structure of wages, 1996–2002: evidence from linked employer-employee data

Analyzing data from the Structure of Earnings Surveys we find that wage dispersion in Austria increased only marginally between 1996 and 2002. There was an increase in the returns to education which accrued only to male workers. The positive effects of tenure and especially of experience on wages decreased over time. We adopt the Machado–Mata (J Appl Econ 20:445–465, 2005) counterfactual decomposition technique which allows to attribute changes in each wage decile to changes in worker and workplace characteristics and into changes in returns to these characteristics. Behind the small net increase in inequality we document a number of interesting gross effects that influence the change in the wage distribution. We find that both composition effects due to gender, education and age and market-driven effects such as changes in returns and changing workplace characteristics contributed to a higher dispersion of wages.     

The role of unemployment in wage determination: further evidence on the wage curve from Turkey

This paper presents an empirical estimation of the correlation between wages and regional unemployment rates in Turkey, more specifically it explores the role of regional unemployment rates in wage determination. The analysis builds upon a series of recent empirical studies on the wage-unemployment relationship, now commonly known as ‘the wage curve’, a downward sloping curve in wage-unemployment space. The existing studies are for most part in advanced market economies, while this paper presents one of the few attempts at a wage curve analysis within the context of a developing market economy. A cross-sectional estimation of micro level individual wage data for the Turkish labour market in 1994, suggest a statistically significant negative correlation between wages and regional unemployment rates. Separate regressions for men and women, however, show a wage curve to exist only in the male labour market. The study also presents the results on other variables of wage determination such as returns to schooling, returns to age, job tenure, gender, industrial and occupational affiliation of the worker, economic sector and union status.     

Public-private sector wage differentials in Germany: Evidence from quantile regression

This paper measures and decomposes the differences in earnings distributions between public sector and private sector employees in Germany for the years 1984–2001. Oaxaca decomposition results suggest that conditional wages are higher in the public sector for women but lower for men. Using the quantile regression decomposition technique proposed by Machado and Mata (2004), we find that the conditional distribution of wages is more compressed in the public sector. At the low end of wages, differences in characteristics explain less than the raw wage gap when it is the opposite at high wages. Separate analyses by work experience and educational groups reveal that the most experienced employees and those with basic schooling do best in the public sector. All these results are stable over the 80s and 90s.I thank Michael Lechner and the Centre for European Economic Research (ZEW), Mannheim, for letting me work with the full sample of the German Socio-Economic Panel (GSOEP). I am grateful to an anonymous referee and particularly to the editor, Bernd Fitzenberger, for providing me detail comments and suggestions that have significantly improved the paper. I have also benefited from discussions with Michael Lechner and Ruth Miquel.First version received: April 2002/Final version received: June 2004