No description available.

This thesis explores several aspects of the labour market in Serbia and Croatia during the process of transition from socialism to a market economy. First, it examines how women??s position in the labour market has changed in Serbia. Using five annual Labour Force Surveys (2001-2005), I find that the gender wage gap is still very low in Serbia, and is even decreasing during this period. However, decompositions that apply the Oaxaca (1974) methodology reveal that the unexplained component of the gap is very large, and is increasing. Likewise, quantile decompositions suggest that while the raw gap is falling at each of the quantiles analysed, the unexplained component is increasing at most quantiles at the same time. Thus, the relatively small gap in earnings could be masking considerable discrimination in the labour market. Second, changes in men??s wage inequality in Serbia in the period from 2001 to 2005 are analysed using five annual Labour Force Surveys. Changes in the distribution of earnings are examined using the Lemieux (2002) decomposition methodology. I find that the change in wage inequality is mostly driven by changes in wage premiums, while the effect of changes in the composition of the labour force is very small. Isolating the effect of the emerging private sector reveals that changes in the private sector size and wage premium account for an average 25 percent of the changes in inequality during this period. Third, the effect that the recent war in Croatia (1991-1995) had on the educational and employment trajectories of the 1971 birth cohort of men is investigated. This birth cohort was most affected by the armed forces draft. I treat the occurrence of the war as a natural experiment and use data from the Croatian and Slovenian Labour Force Surveys. Applying the difference-in-difference framework and comparing this cohort to adjacent cohorts, women, and to respective cohorts in Slovenia, a neighbouring country that did not experience war, I find that the war has had a negative effect on educational outcomes and a small positive effect on the employment and earnings outcomes of this cohort of men.

This thesis explores several aspects of the labour market in Serbia and Croatia during the process of transition from socialism to a market economy. First, it examines how women??s position in the labour market has changed in Serbia. Using five annual Labour Force Surveys (2001-2005), I find that the gender wage gap is still very low in Serbia, and is even decreasing during this period. However, decompositions that apply the Oaxaca (1974) methodology reveal that the unexplained component of the gap is very large, and is increasing. Likewise, quantile decompositions suggest that while the raw gap is falling at each of the quantiles analysed, the unexplained component is increasing at most quantiles at the same time. Thus, the relatively small gap in earnings could be masking considerable discrimination in the labour market. Second, changes in men??s wage inequality in Serbia in the period from 2001 to 2005 are analysed using five annual Labour Force Surveys. Changes in the distribution of earnings are examined using the Lemieux (2002) decomposition methodology. I find that the change in wage inequality is mostly driven by changes in wage premiums, while the effect of changes in the composition of the labour force is very small. Isolating the effect of the emerging private sector reveals that changes in the private sector size and wage premium account for an average 25 percent of the changes in inequality during this period. Third, the effect that the recent war in Croatia (1991-1995) had on the educational and employment trajectories of the 1971 birth cohort of men is investigated. This birth cohort was most affected by the armed forces draft. I treat the occurrence of the war as a natural experiment and use data from the Croatian and Slovenian Labour Force Surveys. Applying the difference-in-difference framework and comparing this cohort to adjacent cohorts, women, and to respective cohorts in Slovenia, a neighbouring country that did not experience war, I find that the war has had a negative effect on educational outcomes and a small positive effect on the employment and earnings outcomes of this cohort of men.

This dissertation studies determinants of the U.S. labor market structure and human capital development, with a focus on technological change. A key feature of the U.S. labor market since 1980 is the substantial growth of the employment in high skill occupations and there is a substantial literature attributing this change to technological change. However, since 1999, the employment growth of high skill occupations has decelerated markedly despite continued rapid growth in technology. The first essay documents this novel trend and examines the role of technological change in explaining this phenomenon. It shows that technological advancements since the late 1990s, such as the onset of Internet, have expanded what computers can do and become substitutes for high skill occupations. This change can explain a substantial portion of the stagnancy in employment growth for high skill occupation in the 2000s. The second essay examines the role of computer adoption in explaining the differences in the change of gender wage gap between 1980 and 2000 across cities in the United States. It uses the city-level routine task intensity in 1980 to predict the subsequent increase in computer adoption and shows that cities with one percent greater increase in computer adoption experienced a 0.7 percent more decrease in the change of male-female wage ratio between 1980 and 2000. Computerization explains about 50 percent of the decline in the male-female wage gap between 1980 and 2000. The third essay studies the causal effect of maternal education on the gender gap in children’s non-cognitive skills. It shows that maternal education reduces boys’ disadvantage in non-cognitive behaviors relative to girls at age 7. To explain the mechanism of this effect, it provides suggestive evidence that better educated mothers spend more time going outings with boys while reading to girls at age 7, and going outings could be more closely related to non-cognitive development than reading.

The aim of the study is to investigate the glass ceiling and the gender wage gap and reasons behind gender inequality in the banking sector of Sweden and Pakistan. / <p>Please find the attached master thesis pdf file.</p>

No description available.

Doctor of Philosophy / Economics / Yang M. Chang / This dissertation consists of three essays in the field of household and family economics. Specifically, the research focuses on the optimal taxation and household behavior, gender inequality in the labor market during economics transition, and fertility choices and female labor supply. Chapter 1 explores the welfare implications of an optimal tax-transfer schedule to dual-earner couples. A non-cooperative model is used to examine labor supply decisions of married couples to both individual- and joint-based taxation, and the results suggest that the impact of income taxation on family labor supply is largely dependent on spouses' relative wage income. I also investigate the welfare effect of a governmental imposed re-distributive program on both spouses, the simulation results of moving from individual to joint taxation improves both spouses' well-beings and the welfare gain is higher for couples when income gap between the husband and the wife is larger. Chapter 2 empirically examines the impact of privatization reform on gender wage gap in urban labor market based on a comprehensive nationwide survey, the Chinese Household Income Projects (CHIP). We observe, between 1995 and 2007, the gender wage gap rises, and the progress of privatization increases women’s productivity. The results of decomposition suggest that the increase in gender discrimination, which is associated with the rapid growth of non-state sector, contributes to widening gender wage gap. Although privatization increase gender segregation in occupational attainments, it is less obvious that segregation can account for the gender wage gap. In Chapter 3, using the 1979 cohort of the National Longitudinal Survey of Youth (NLSY79), we find mothers earn less on average even after controlling for other wage determinants. The wage penalty associated with motherhood is insignificant in the early career, and arises partly due to mothers accumulating less work experience. As a result, late mothers experience stronger (weaker) returns to work experience before (after) their transition to motherhood. The differentials in returns to work experience are robust to controlling for occupational skill requirements and time spent out of employment.

<p>Using mainly quantile regressions, this paper evaluates the gender wage gap throughout the conditional wage distribution in Sweden. The gender wage is found to increase at the upper tail of the wage distribution, indicating an enforcement of the glass ceiling effect recorded in earlier studies.</p><p>The results also indicate that the earlier noted trend of diminishing wage differences at the bottom of the wage distribution now is turning. The increase of overall wage inequalities coincides with a general increase in wage dispersion among high-income and low-income individuals. It is also noted that there are substantial differences in returns to productivity characteristics between the public and the private sectors, and that both the highest and the lowest unexplained gender wage gap is found in the public sector.</p>

In the first chapter of this thesis, we investigate the impact of human capital and wage structure on the gender pay in a panel of European countries using a newly available and appropriate database for cross-country comparisons and a comparable methodology for each country. Our first question is : What role do certain individual characteristics and choices of working men and women play in shaping the cross-country differences in the gender pay gap? What is the exact size of the gender pay gap using the “more appropriate” database available for our purpose? Giving that there are mainly only two harmonized data-sets for comparing gender pay gap throughout Europe: the European Community Household Panel (ECHP) and the European Structure of Earning Survey (ESES). Each database having its shortages: the main weakness of the ECHP is the lack of perfect reliability of the data in general and of wages in particular. However the main advantage of this database is the panel-data dimension and the information on both households and individuals. The data of the ESES is, on the contrary, of a very high standard but it only covers the private sector and has a cross-sectional dimension. Furthermore only few countries are currently available : Denmark, Belgium, Spain, Ireland and Italy. We use the European Structure of Earning Survey (ESES) to analyse international differences in gender pay gaps in the private sector based on a sample of five European economies: Belgium, Denmark, Ireland, Italy and Spain. Using different methods, we examine how wage structures, differences in the distribution of measured characteristics and occupational segregation contribute to and explain the pattern of international differences. Furthermore, we take account of the fact that indirect discrimination may influence female occupational distributions. We find these latter factors to have a significant impact on gender wage differentials. However, the magnitude of their effect varies across countries. In the second chapter, we analyse the persistence of the gender pay differentials over time in Europe and better test the productivity hypothesis by taking into account unobserved heterogeneity. Our second question is : What is the evolution of the pay differential between men and women over a period of time in Europe? And what is the impact of unobserved heterogeneity? The researcher here provides evidence on the effects of unobserved individual heterogeneity on estimated gender pay differentials. Using the European Community Household Panel (ECHP), we present a cross-country comparison of the evolution of unadjusted and adjusted gender pay gaps using both cross-section and panel-data estimation techniques. The analysed countries differ greatly with respect to labour market legislation, bargaining practices structure of earnings and female employment rates. On adjusting for unobserved heterogeneity, we find a narrowed male-female pay differential, as well as significantly different rates of return on individual characteristics. In particularly, the adjusted wage differential decreases by 7 per cent in Belgium, 14 per cent in Ireland, between 20-30 per cent Germany, Italy, the Netherlands and Spain and of 41 per cent and 54 per cent in the UK and in Denmark respectively. In the third chapter, we investigate causes of the gender pay gap beyond the gender differences in observed and unobserved productive characteristics or simply the sex. Explanations of the gender pay gap may be the penalty women face for having children. Obviously, the motherhood wage penalty is relevant to larger issues of gender inequality given that most women are mothers and that childrearing remains a women’s affair. Thus, any penalty associated with motherhood but not with fatherhood affects many women and as such contributes to gender inequalities as the gender pay gap. Furthermore, the motherhood wage effect may be different along the wage distribution as women with different earnings may not be equal in recognising opportunities to reconcile their mother’s and earner’s role. This brings us to our third question. Our third question is : What is the wage effect for mothers of young children in the household? And does it vary along the wage distribution of women? This chapter provides more insight into the effect of the presence of young children on women’s wages. We use individual data from the ECHP (1996-2001) and both a generalised linear model (GLM) and quantile regression (QR) techniques to estimate the wage penalty/bonus associated with the presence of children under the age of sixteen for mothers in ten EU Member States. We also correct for potential selection bias using the Heckman (1979) correction term in the GLM (at the mean) and a selectivity correction term in the quantile regressions. To distinguish between mothers according to their age at the time of their first birth, wage estimations are carried out, separately, for mothers who had their first child before the age of 25 (‘young mothers’) and mothers who had their first child after the age of 25 (‘old mothers’). Our results suggest that on average young mothers earn less than non-mothers while old mothers obtain a gross wage bonus in all countries. These wage differentials are mainly due to differences in human capital, occupational segregation and, to a lesser extent, sectoral segregation between mothers and non-mothers. This overall impact of labour market segregation, suggests a “crowding” explanation of the family pay gap – pay differential between mothers and non-mothers. Nevertheless, the fact that we still find significant family pay gaps in some countries after we control for all variables of our model suggests that we cannot reject the “taste-based” explanation of the family gap in these countries. Our analysis of the impact of family policies on the family pay gap across countries has shown that parental leave and childcare policies tend to decrease the pay differential between non-mothers and mothers. Cash and tax benefits, on the contrary, tend to widen this pay differential. Sample selection also affects the level of the mother pay gap at the mean and throughout the wage distribution in most countries. Furthermore, we find that in most countries inter-quantile differences in pay between mothers and non-mothers are mainly due to differences in human-capital. Differences in their occupational and sectoral segregation further shape these wage differentials along the wage distribution in the UK, Germany and Portugal in our sample of young mothers and in Spain in the sample of old mothers. In the fourth chapter, we analyse the combined effect of motherhood and the family status on women’s wage. Our fourth question is : Is there a lone motherhood pay gap in Europe? And does it vary along the wage distribution of mothers? Substantial research has been devoted to the analysis of poverty and income gaps between households of different types. The effects of family status on wages have been studied to a lesser extent. In this chapter, we present a selectivity corrected quantile regression model for the lone motherhood pay gap – the differential in hourly wage between lone mothers and those with partners. We used harmonized data from the European Community Household Panel and present results for a panel of European countries. We found evidence of lone motherhood penalties and bonuses. In our analysis, most countries presented higher wage disparities at the top of the wage distribution rather than at the bottom or at the mean. Our results suggest that cross-country differences in the lone motherhood pay gap are mainly due to differences in observed and unobserved characteristics between partnered mothers and lone mothers, differences in sample selection and presence of young children in the household. We also investigated other explanations for these differences such as the availability and level of childcare arrangements, the provision of gender-balanced leave and the level of child benefits and tax incentives. As expected, we have found significant positive relationship between the pay gap between lone and partnered mothers and the childcare, take-up and cash and tax benefits policies. Therefore improving these family policies would reduce the raw pay gap observed.

Using mainly quantile regressions, this paper evaluates the gender wage gap throughout the conditional wage distribution in Sweden. The gender wage is found to increase at the upper tail of the wage distribution, indicating an enforcement of the glass ceiling effect recorded in earlier studies. The results also indicate that the earlier noted trend of diminishing wage differences at the bottom of the wage distribution now is turning. The increase of overall wage inequalities coincides with a general increase in wage dispersion among high-income and low-income individuals. It is also noted that there are substantial differences in returns to productivity characteristics between the public and the private sectors, and that both the highest and the lowest unexplained gender wage gap is found in the public sector.