scholarly journals Beyond the Mean Gender Wage Gap: Decomposition of Differences in Wage Distributions Using Quantile Regression

2010 ◽  
Author(s):  
Anja Heinze
Keyword(s):  
Quantile Regression ◽  
Gender Wage Gap ◽  
Wage Gap ◽  
Wage Distributions ◽  
The Mean

Gender wage gap decomposition methods: Comparative analysis

2021 ◽  
Vol 62 ◽  
pp. 5-31
Author(s):  
Sergey Roshchin ◽  
◽  
Natalya Yemelina ◽  
Keyword(s):  
Comparative Analysis ◽  
Gender Wage Gap ◽  
Wage Gap ◽  
Decomposition Methods ◽  
Influence Functions ◽  
Quantile Regressions ◽  
Men And Women ◽  
Distribution Parameters ◽  
Monitoring Survey ◽  
The Mean

This study introduces a comparative analysis of the gender wage gap decomposition methods with the Russian Longitudinal Monitoring Survey (RLMS) data for 2018. To decompose the differences in average wages, approaches based on the Oaxaca–Blinder decomposition are used. Apart from the mean wages, the study focuses on other distribution statistics. Using the quantile regressions, the wage gap between men and women is decomposed for the distribution parameters such as median, lower and upper deciles. The decomposition estimates of conditional and unconditional (based on recentered influence functions) quantile regressions are compared.

scholarly journals DIFFERENCES IN DECLINE: QUANTILE REGRESSION OF MALE–FEMALE EARNINGS DIFFERENTIAL IN MALAYSIA

2015 ◽  
Vol 60 (04) ◽  
pp. 1550054 ◽  
Author(s):  
SIEW CHING GOY ◽  
GERAINT JOHNES
Keyword(s):  
Quantile Regression ◽  
Wage Inequality ◽  
Gender Wage Gap ◽  
Wage Gap ◽  
Wage Distribution ◽  
Western Society ◽  
Floor Effect ◽  
Earnings Differential ◽  
Gender Earnings Gap ◽  
The Difference

Semiparametric estimation has gained significant attention in the study of wage inequality between men and women in recent years. By extending the wage gap at the mean towards the entire wage distribution using quantile regression, it enables researchers to ascertain the direction and the proportions of differences in characteristics and returns to these characteristics at different parts of the wage distribution. This line of research has been prominent in western society but has not yet been explored in the context of the Malaysian labor market. To fill the gap, this paper examines the gender earnings gap in Malaysia between 1994 and 2004 using Malaysia Population and Family Survey data. The gender earnings differential, as measured by the log percentage point is 53% in 1994. The difference reduces to 45% for a restricted sample and 42% for the unrestricted sample in 2004. However, it was found that the gender wage gap reduces as we move up the wage distribution. This suggests that women suffer from a sticky floor effect, i.e., the gender wage gap is bigger at the bottom of distribution. More importantly, the observed gender wage differentials do not reflect differences in the productive characteristics of the workers. In fact, it accounts for very little, if any, of the gap in Malaysia. However, the extent of the price effect is larger at the bottom end of the distribution than at the top.

scholarly journals Returns to Workplace Training for Male and Female Employees and Implications for the Gender Wage gap: A Quantile Regression Analysis

2021 ◽  
Vol 8 (1) ◽  
pp. 21-45
Author(s):  
Rossella Icardi
Keyword(s):  
Quantile Regression ◽  
Cognitive Skills ◽  
Gender Wage Gap ◽  
Wage Gap ◽  
Positive Association ◽  
Wage Distribution ◽  
Workplace Training ◽  
Wage Differences ◽  
Men And Women ◽  
Quantile Regression Analysis

Context: Existing studies have explored the association between workplace training and wages suggesting that training participation may have a positive association with wages. However, we still know very little about whether this association varies between men and women. Through its potential positive association with wages, training may balance wage differences between men and women. In addition, the gender wage gap varies across the wage distribution. Differences in the association between training participation and wages for men and women across the earnings spectrum may offer an explanation as to why the discrepancy in female/male earnings is larger at some point of the wage distribution compared to others. Approach: Using data from the Programme for International Assessment of Adult Competencies (PIAAC) and unconditional quantile regression, this paper examines whether the association between workplace training and wages differs between men and women at different points of the wage distribution across 14 European countries. To partly control for endogeneity in training participation, detailed measures of cognitive skills have been included in the models. Findings: Findings show gender differences in the association between training and wages across the wage distribution. In most countries, results indicate larger training coefficients for women than men at the lower end of the wage spectrum whereas they are larger for men at the top. This pattern holds across most countries with the only exception of Liberal ones, where women benefit less than men across the entire wage spectrum.Conclusions: The findings of this work reveal that distributional variations in returns to workplace training follow a similar pattern across industrialized countries, despite their different institutional settings. Moreover, differences in training coefficients of men and women at different parts of the wage distribution suggest that training could reduce gender wage differences among low earners and potentially widen the gap in wages among individuals at the top of the wage distribution. 

scholarly journals Investigating the gender wage gap in Vietnam by quantile regression: Sticky floor or glass ceiling

2018 ◽  
Vol 25 (S01) ◽  
pp. 04-23
Author(s):  
Anh Trần Thị Tuấn
Keyword(s):  
Labor Market ◽  
Quantile Regression ◽  
Glass Ceiling ◽  
Rural Areas ◽  
Gender Wage Gap ◽  
Wage Gap ◽  
Wage Distribution ◽  
Floor Effect ◽  
State Sector ◽  
Sticky Floor

Inequality between men and women in the labor market is one of the issues that is of great interest in labor economics. The sticky floor effect occurs when the gender wage gap widens at the lower tail of the wage distribution. The glass ceiling effect in wage exists if the gender wage gap at the top of the wage distribution is wider than other positions. This study uses the dataset of VHLSS2014 and adopts quantile regression to investigate the existence of glass ceiling and sticky floor in the Vietnam’s labor market. The overall results obtained of the entire sample show that there is sticky floor effect but no glass ceiling in the Vietnam’s labor market. However, the results are different when it comes to each labor group. In terms of urban and rural areas, the sticky floor exists, but the glass ceiling does not in both areas. In terms of state and private sectors, while the glass ceiling exists in state sector, the stick floor is only present in the private sector.

The Gender Wage Gap in the Vietnamese Transition, 1993–2008

2018 ◽  
Vol 13 (4) ◽  
pp. 71-111 ◽  
Author(s):  
Huong Thu Le ◽  
Ha Trong Nguyen
Keyword(s):  
Gender Discrimination ◽  
Sharp Increase ◽  
Major Part ◽  
Gender Wage Gap ◽  
Wage Gap ◽  
Wage Growth ◽  
Increasing Returns ◽  
High Wage ◽  
The Mean

This essay examines wages and the gender wage gap between 1993 and 2008 in Vietnam. Our results reveal a slight increase in the mean of the gender wage gap from 2002 to 2008, which is mainly driven by a sharp increase in the gender wage gap for low-wage workers. Decomposition results suggest that the major part of the gender wage gap attributes to gender discrimination. While gender discrimination decreases for high-wage workers, it increases for low-wage workers. Over the period, wage growth is partly explained by changes in average characteristics but mainly due to increasing returns.

Gender Wage Gap in Hospitality

2020 ◽  
pp. 109634802090942
Author(s):  
Xisco Oliver ◽  
Maria Sard
Keyword(s):  
Quantile Regression ◽  
Gender Discrimination ◽  
Gender Wage Gap ◽  
Wage Gap ◽  
Wage Distribution ◽  
Economic Sector ◽  
Skilled Workers ◽  
Unskilled Workers ◽  
Hospitality Sector ◽  
And Gender

This article analyzes the gender wage gap in the hospitality sector. First, it explores whether the gender wage gap is partly explained by the economic sector. Second, it measures how this gap changes across the wage distribution using quantile regression. Third, it decomposes the gender wage gap in the hospitality sector to distinguish which part can be explained by observed attributes and which part is explained by other factors (unobserved characteristics or gender discrimination). Methodologically, this article introduces the use of quantile regression to the analysis of the gender wage gap and its decomposition in the hospitality sector. The main findings are as follows. First, on average in the hospitality sector, wages (without taking into account worker skills) are below the overall average wages. However, if a deeper look is taken, this research reveals that unskilled workers are better paid in hospitality than in most of the other sectors. The opposite is true for skilled workers, since mid- and high-wage workers in the hospitality sector receive wages below their counterparts in other sectors. Second, the gender wage gap is particularly low in the hospitality sector and the gap changes across the wage distribution. Third, a large part of the gender wage gap in hospitality is not explained by worker or company characteristics. The segregation of women into worse-paid jobs and gender discrimination (or unobserved characteristics) seem to be the main sources of the gender wage gap.

scholarly journals The Immigrant and Native-Born Wage Distributions: Evidence from United States Censuses

ILR Review ◽  
2002 ◽  
Vol 56 (1) ◽  
pp. 97-121 ◽  
Author(s):  
Kristin F. Butcher ◽  
John Dinardo
Keyword(s):  
Gender Differences ◽  
Immigration Policy ◽  
Wage Gap ◽  
Wage Structure ◽  
Wage Distribution ◽  
Evidence Based ◽  
Recent Immigrants ◽  
Wage Distributions ◽  
The Mean ◽  
Exclusive Focus

Recent studies document a large widening of the immigrant/native-born mean wage gap since about 1970, a trend that some observers ascribe to post-1965 changes in U.S. immigration policy. These studies are limited, however, by their exclusive focus on men, which ignores important gender differences in the wage gap, and by the inadequacy of the mean wage for characterizing the gap when, as in recent decades, the wage distribution dramatically changes. This study of recent immigrants examines changes across the entire wage distribution, for both genders. The authors find evidence, based partly on gender differences, that minimum wages strongly influenced the gap. A counterfactual analysis also indicates that if recent immigrants in 1970 had faced the 1990 wage structure, their wage distribution would have closely resembled that of recent immigrants in 1990. These and other results suggest that the increasing wage gap is linked to changes in the wage structure.

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