Decomposing Gender Differences in Bankcard Credit Limits

In this paper, we examine if there are gender differences in total bankcard limits by utilizing a data set that links mortgage applicant information with individual-level credit bureau data from 2006 to 2016. We document that after controlling for credit score, income, and demographic characteristics, male borrowers on average have higher total bankcard limits than female borrowers. Using a standard Kitagawa-Oaxaca-Blinder decomposition, we find that 87 percent of the gap is explained by differences in the effect of observed characteristics between male and female borrowers, while approximately 10 percent of the difference can be explained by differences in the levels of observed characteristics. Using a quantile decomposition strategy to analyze the gender gap along the entire bankcard credit limit distribution, we show that gender differences in bankcard limits favor female borrowers at smaller limits and favor male borrowers at larger limits. The primary factors that drive this gap have changed over time and vary across the distribution of credit limits.

The Gender Wage Gap among Ph.D. Holders: Evidence from Italy

This paper contributes to the literature on the gender wage gap by empirically analyzing those workers who hold the highest possible educational qualification, i.e., a Ph.D. The analysis relies on recent Italian cross-sectional data collected through a survey on the employment conditions of Ph.D. holders. The Oaxaca–Blinder decomposition analysis and quantile decomposition analysis are carried out, and the selection of Ph.D. holders into employment and STEM/non-STEM fields of specialization is taken into account. Findings suggest that a gender gap in hourly wages exists among Ph.D. holders, with sizeable differences by sector of employment and field of specialization.

Dimensions of Informality in Bangladesh Labour Market and the Consequent Wage Penalty

The article examines the various dimensions and underlying causes of informal employment in the Bangladesh labour market and the associated wage penalty. Based on labour force survey data for successive points, we trace the dynamics of employment in Bangladesh along the informal–formal divide over time. Given that wage differential remains a key feature concerning the two market segments, we have carried out mean and quantile decomposition exercises to estimate the wage penalty originating from informality. We find significant wage gaps between formal- and informal-paid employees, formal paid and informal day labour, and formal paid and informal self-employed. The wage gaps range between 65.0 per cent and 225.0 per cent. The gap arises from a combination of observed differences in human capital and job characteristics, and the wage premium accruing from formal employment. JEL: C21, J31

WAGE DISCRIMINATION IN INDIA’S FORMAL AND INFORMAL LABOR MARKETS

The study examines the extent of gender and caste-based discrimination among the formally and informally employed in India using the National Sample Survey Office (NSSO) Employment-Unemployment Survey (EUS) data for the four major rounds from 1999–00 to 2011–12. Oaxaca-Blinder decomposition results corrected for self-selection show wage discrimination to be significantly higher in informal employment compared to the formally employed. Similarly, caste-based discrimination is found to be lower compared to gender-based discrimination. The quantile decomposition results show discrimination to vary across the quantiles. Our results highlight the need for better regulation of the informal labor market in India.

Wage differentials associated with race between 2002 and 2014 in Brazil: evidence from a quantile decomposition

ABSTRACT Throughout the 2000s Brazil went through a great phase of economic development. The present study seeks to investigate whether this movement was accompanied by a reduction in inequality in the labor market, measured here by the wage gap between whites and non-whites. To do so, three cohorts of time (2002-2004, 2007-2009 and 2012-2014) were analyzed using the microdata of the National Household Sampling Survey (Pesquisa Nacional de Amostragem Domiciliar - Pnad). The applied method is the counterfactual Oaxaca-Blinder along with the Recentered Influence Function Regression (RIF-Regression) so that the main determinants of wage inequalities can be detailed throughout the salary distribution. Our results showed that wage gap (totals, due to observed factors and discrimination) are higher in the higher quantiles of the distribution, that is, in professions or activities with higher wages. The results also point that the wage gap between the groups decreased during the analyzed period, which was mainly due to observable characteristics, especially educational levels. However, discrimination decreased only between the first and second triennium and in low magnitude. Apart from that, the main determinants of racial wage gap are returns related to education, experience and professions considered unregulated (self-employment and informal workers).