scholarly journals Gender Wage Gap: Within and Across Borders

2021 ◽  
Vol 16 (2) ◽  
pp. 74-83
Author(s):  
Orkideh Gharehgozli ◽  
Vidya Atal

Abstract This paper aims to explore gender wage differential at the wage distribution decile level. We define “real wage” with one of the most tangible adjustment measures, “Big Mac Index”. We study wages equivalent to the number of Big Mac burgers (per day) of men and women belonging to different wage distribution deciles for 21 countries and for the priod of 2000 to 2013. We find that, across countries, the higher the GDP per capita, the larger the gender wage gap. The “wealthy” European countries have the lowest female to male wage ratio. High female participation in part-time jobs may be a reason for that. Meanwhile, Latin American countries with the lowest GDP per capita in our study have the highest ratio of female to male wages. As expected, we also find that within a country, the higher the wage decile, the larger the gender wage inequality.

Author(s):  
Raquel Mendes

Despite the evidence of female progress with regard to women’s role in the labor market, gender inequality remains. Women are still less likely to be employed than men, occupational gender segregation continues, and females continue to earn less than males. The gender wage gap remains wide in several occupational sectors, among which is the information technology (IT) sector. This paper focuses the determinants of gender wage inequality. More precisely, it investigates for statistical evidence of a glass ceiling effect on women’s wages. Based on the quantile regression framework, the empirical analysis extends the decomposition of the average gender wage gap to other parts of the earnings distribution. The main objective is to empirically test whether gender-based wage discrimination is greater among high paid employees, in line with glass ceiling hypothesis. Larger unexplained gaps at the top of the wage distribution indicate the existence of a glass ceiling effect in Portugal.


Author(s):  
Guillermo Cruces ◽  
Gary S. Fields ◽  
David Jaume ◽  
Mariana Viollaz

The Latin American region exhibited an increase in gross domestic product per capita during the 2000s, an improvement in all employment and earnings indicators, and poverty and inequality reductions. On a country-by-country basis, all Latin American countries exhibited positive GDP per capita growth rates during the 2000s. Most countries experienced substantial improvements in labour market conditions over the period, Honduras being the only exception to this general pattern. Finally, the growth rates of most countries in the region were negatively affected by the international crisis of 2008, which also affected several labour market indicators in the worsening direction. Most labour market indicators had fully or partially recovered by 2012–13.


2015 ◽  
Vol 60 (04) ◽  
pp. 1550054 ◽  
Author(s):  
SIEW CHING GOY ◽  
GERAINT JOHNES

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.


2016 ◽  
Vol 12 (1) ◽  
pp. 39-52
Author(s):  
Asghar Ali ◽  
Li Jun Jiang

Gender equality is not only a policy reform agenda for developing countries but also an important goal of Millennium Development Goals. With respect to all socio-economic indicators, the development history demonstrates extremely gloomy image of gender inequality in Pakistan. With this background this paper investigates the nexus between wage inequality and economic growth and detects co-integration between gender wage differential and economic growth using ARDL bound test. It is confirmed from the empirical results that there exists long-run relationship between economic growth and wage differential. The findings of unrestricted error correction model indicate that the wage inequality showed negative and significant impact on economic growth in the long run. The results of this study showed dissimilarity with the findings of Seguino (2000) that there is existed constructive association between wage inequality and economic growth. An important finding from the present examination is that the gender wage gap is detrimental for the process of growth in long run. Policies should be made to reduce gender wage gap. Such government policy should be designed which could address and adjust economic priorities in the face of changing global economic realities and provide comprehensive framework for conducive environment for gender.


2020 ◽  
Vol 56 (2) ◽  
pp. 116-130
Author(s):  
Ian Rebouças Batista ◽  
Amanda Domingos ◽  
Rodrigo Lins

When facing the COVID-19 pandemic, what was key to governments’ response velocity throughout Latin America? The region had more information on what to do to prevent the disease from spreading itself and social isolation was the most recommended measure to avoid contamination. Still, Latin American countries varied greatly on how fast they adopted strict social isolation measures. We deploy an explanatory work on which institutional designs collaborates with higher delay in governments’ adoption of these measures. Among the institutional variables considered, we find that our variable of interest (delay) correlates strongly and positively with democracy, negatively with concentration of power, and positively with GDP per capita. These might suggest that autocrats faced less institutional and moral constraints to act, while democratic leaders dealing with pluralism and accountability faced higher costs to implement such measures. Due to the small sample, we next investigate  ’ experience looking for examples for the found correlations.Keywords: Government’s delay; COVID-19; Political Institutions


2019 ◽  
Vol 78 (307) ◽  
pp. 33
Author(s):  
María Isabel Osorio Caballero

<p align="center"><strong>RESUMEN</strong></p><p>Este trabajo examina la hipótesis de convergencia condicional del producto interno bruto (PIB) per cápita estableciendo una vinculación positiva con la tasa de crecimiento de un panel de 18 países de América Latina durante 1990-2015. Se emplea un análisis de β-convergencia, σ-convergencia y γ-convergencia. Además, para identificar la heterogeneidad espacial se analizan las relaciones entre unidades territoriales vecinas y el nivel de producto empleando el estadístico I de Moran. En general, todos los indicadores muestran la existencia de una senda de convergencia regional, con elevada β-convergencia condicional, una reducción en la dispersión de los ingresos per cápita y una menor movilidad en el <em>ranking</em> de la posición de los países.</p><p align="center"> </p><p align="center"><strong>IS LATIN AMERICA’S ECONOMIC GROWTH CONVERGENCE PROCYCLICAL?</strong></p><p align="center"><strong>ABSTRACT</strong></p>This paper looks at the hypothesis of conditional convergence of Gross Domestic Product (GDP) per capita for a set of eighteen Latin American countries establishing a positive link with the growth rate of those economies. To that purpose, β-convergence, σ-convergence and γ-convergence analyses are conducted. Furthermore, with the aim of identifying spatial heterogeneity the relationship among neighbor territorial units and product levels are studied applying the I Moran statistics. By and large, a regional convergence path with high conditional β-convergence, a lower dispersion of per capita incomes and a lesser mobility of countries along the ranking are shown to exist.


2021 ◽  
Author(s):  
Monserrat Bustelo ◽  
Suzanne Duryea ◽  
Claudia Piras ◽  
Breno Sampaio ◽  
Giuseppe Trevisan ◽  
...  

We herein discuss how college major choice affects gender wage gaps by highlighting the role that STEM majors play in explaining the gender wage gap in a developing country. We focus on a Latin American country where a systematic analysis of the interaction between students choice of college major and the gender wage gap is currently lacking. We take advantage of a very unique dataset of college students from the Universidade Federal de Pernambuco (UFPE), Brazil, to decompose the raw gender gap in hourly wages into one component that can be explained by differences in endowments between men and women as well as a second or residual component that reflects gender differences in the prices of market skills. We implement the commonly applied decomposition approach at the wage distributions mean and a decomposition procedure that considers variations across the wage distribution. Our results reveal that the majors that women and men select explain 50% of the gender wage gap at the mean, and STEM majors contribute to 30% of this difference. When examining different percentiles of the wage distribution, we find that the selection of a major is more important at the middle of the distribution than at the bottom or top.


Author(s):  
Raquel Mendes

Despite the evidence of female progress with regard to women’s role in the labor market, gender inequality remains. Women are still less likely to be employed than men, occupational gender segregation continues, and females continue to earn less than males. The gender wage gap remains wide in several occupational sectors, among which is the information technology (IT) sector. This paper focuses the determinants of gender wage inequality. More precisely, it investigates for statistical evidence of a glass ceiling effect on women’s wages. Based on the quantile regression framework, the empirical analysis extends the decomposition of the average gender wage gap to other parts of the earnings distribution. The main objective is to empirically test whether gender-based wage discrimination is greater among high paid employees, in line with glass ceiling hypothesis. Larger unexplained gaps at the top of the wage distribution indicate the existence of a glass ceiling effect in Portugal.


Author(s):  
Javier Cifuentes-Faura

The pandemic caused by COVID-19 has left millions infected and dead around the world, with Latin America being one of the most affected areas. In this work, we have sought to determine, by means of a multiple regression analysis and a study of correlations, the influence of population density, life expectancy, and proportion of the population in vulnerable employment, together with GDP per capita, on the mortality rate due to COVID-19 in Latin American countries. The results indicated that countries with higher population density had lower numbers of deaths. Population in vulnerable employment and GDP showed a positive influence, while life expectancy did not appear to significantly affect the number of COVID-19 deaths. In addition, the influence of these variables on the number of confirmed cases of COVID-19 was analyzed. It can be concluded that the lack of resources can be a major burden for the vulnerable population in combating COVID-19 and that population density can ensure better designed institutions and quality infrastructure to achieve social distancing and, together with effective measures, lower death rates.


2019 ◽  
Vol 20 (1) ◽  
pp. 106-123 ◽  
Author(s):  
Mustafizur Rahman ◽  
Md. Al-Hasan

This article undertakes an examination of Bangladesh’s latest available Quarterly Labour Force Survey 2015–2016 data to draw in-depth insights on gender wage gap and wage discrimination in Bangladesh labour market. The mean wage decomposition shows that on average a woman in Bangladesh earns 12.2 per cent lower wage than a man, and about half of the wage gap can be explained by labour market discrimination against women. Quantile counterfactual decomposition shows that women are subject to higher wage penalty at the lower deciles of the wage distribution with the wage gap varying between 8.3 per cent and 19.4 per cent at different deciles. We have found that at lower deciles, a significant part of the gender wage gap is on account of the relatively larger presence of informal employment. Conditional quantile estimates further reveal that formally employed female workers earn higher wage than their male counterparts at the first decile but suffer from wage penalty at the top deciles. JEL: C21, J31, J46, J70


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