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The purpose of this paper is to analyse the relation between occupational segregation and the gender wage differences using data on three-digit occupational level of classification. The authors examine whether a statistically significant relation between the share of men in employment and the size of the unexplained part of the gender wage gap exists.

Traditional Oaxaca (1973) – Blinder (1973) decomposition is performed to examine the differences in the gender wage gaps among minor occupational groups. Two types of reweighted decomposition – based on the parametric estimate of the propensity score and non-parametric proposition presented by Barsky et al. (2002) – are used as the robustness check. The analysis is based on individual data available from Poland.

The results indicate no strong relation between occupational segregation and the size of unexplained differences in wages. The unexplained wage differences are the smallest in strongly female-dominated and mixed occupations; the highest are observed in male-dominated occupations. However, they are probably to a large extent the result of other, difficult to include in the econometric model, factors rather than the effects of wage discrimination: differences in the psychophysical conditions of men and women, cultural background, tradition or habits. The failure to take them into account may result in over-interpreting the unexplained parts as gender discrimination.

The highest accuracy of the estimated gender wage gap is obtained for the occupational groups with a similar proportion of men and women in employment. In other male- or female-dominated groups, the size of the estimated gender wage gaps depends on the estimation method used.

The results suggest that decreasing the degree of segregation of men and women in different occupations could reduce the wage differences between them, as the wage discrimination in gender balanced occupations is the smallest.

To the best of the authors’ knowledge, this study is one of the few conducted at such a disaggregated level of occupations, and one of few studies focused on Central and Eastern European countries and the first one for Poland.

The purpose of this study is to analyse the gender wage gap (GWG) in Spain adopting a labour market segmentation approach. Once we obtain the different labour segments (or idiosyncratic labour markets), we are able to decompose the GWG into its observed and unobserved heterogeneity components.

We use the data from the Continuous Sample of Working Lives for the year 2021 (matched employer–employee [EE] data). Contingency tables and clustering techniques are applied to employment data to identify idiosyncratic labour markets where men and/or women of different ages tend to match/associate with different sectors of activity and occupation groups. Once this “heatmap” of labour associations is known, we can analyse its hottest areas (the idiosyncratic labour markets) from the perspective of wage discrimination by gender (Oaxaca-Blinder model).

In Spain, in general, men are paid more than women, and this is not always justified by their respective attributes. Among our results, the fact stands out that women tend to move to those idiosyncratic markets (biclusters) where the GWG (in favour of men) is smaller.

It has not been possible to obtain remuneration data by job-placement, but an annual EE relationship is used. Future research should attempt to analyse the GWG across the wage distribution in the different idiosyncratic markets.

Our combination of methodologies can be adapted to other economies and variables and provides detailed information on the labour-matching process and gender wage discrimination in segmented labour markets.

Our contribution is very important for labour market policies, trying to reduce unfair inequalities.

The study of the GWG from a novel labour segmentation perspective can be interesting for other researchers, institutions and policy makers.

This paper investigates the causes of the gender gap in the labour market that cannot be explained by classical human capital theory.

To this end, the authors integrate the Gender Gap in the Labour Market Index (GGLMI), a composite index developed in previous research, with further information on some social aspects that could affect the female work commitment, directly or indirectly. In particular, the authors want to verify if family care and home duties, still strongly unbalanced against women, and the welfare system play a significant role in the gender gap.

Results highlight a very complex scenario, characterized by the persistence of gender inequalities everywhere, even if at different degrees, with very strong imbalances in the time spent at work in response to the family commitments.

The actual determinants of gender disparities in the labour market are very difficult to identify because of the lack of adequate data and the difficulties in measuring some factors determining female behaviour. The additional information used in this research can only partially accomplish this task.

However, for the first time, this paper uses information on different aspects and causes of the gender gap, including proxies of mainly unobservable aspects, in order to achieve at least partial measurement of this phenomenon.

This paper investigates the extent, the determinants and the change in the gender pay gap in Vietnam in the period 2010–2016 in order to provide suggestions for policy adjustment to narrow gender pay inequality more effectively.

This study employs the propensity score matching (PSM) method to examine inequality in pay between female and male earners sharing identical characteristics. The analysis is conducted for both the full sample and various characteristic-based subsamples. This procedure is conducted for 2010 and 2016 separately to discover the change in gap and inequality during this period.

The matching results based on the data sets taken from the Vietnam Household Living Standards Survey (VHLSS) 2010 and 2016 affirm that gender income inequality in Vietnam, though persisted, decreased significantly in 2016 compared to 2010, and was insignificant in many subsamples in 2016. In addition to the observable determinants including educational level, occupation, economic sector and industry, unobservable factors are proved to also play an important role in creating the gender pay gap in Vietnam.

The research findings suggest that policies aimed at mitigating gender pay inequality should take into account both observable characteristics and unobservable factors such as unobservable gender differences that affect wages and gender discrimination in pay.

This is the first study using a matching technique to investigate gender wage gap in Vietnam. With up-to-date data, longer research period and the superiority of the method used in dealing with sample selection bias, the results obtained are more robust, more detailed and reliable.

Although several theoretical concepts imply different determinants of female entrepreneurship, the literature lacks a consensus on their significance. The aim of this paper is to verify how industry specificity influences the gender pay gap and its relation to female entrepreneurship.

The authors distinguish industries based on the gender equality level, measured jointly by two factors: pay gap level and female participation rate. The study has been conducted among 22 European countries with relatively similar institutional backgrounds. The authors carry out the analysis based on the panel regression models, which enable the authors to verify two predefined research questions.

The results of panel regression models indicate that industry specificity plays a significant role in the relation between the pay gap and female entrepreneurship. Generally, it can be concluded that gender pay gap as a measure of gender inequality is dependent on the industry specificity. The dependence is especially visible in the breakdown of male- and female-dominated industries.

The findings are consistent with the assumption that the gender pay gap is a discriminatory factor for women willing to become entrepreneurs in certain industries. The findings of the study may constitute a vital tool in planning to overcome it.

This paper aims to shed light on gender inequality in Nigeria exploring new available data. It makes a case for attention to women empowerment and likely economic outcomes. The general objective of the research work is to ascertain the direction of gender inequality and show the pattern of inequality. Also, sectoral trends are obtained by analyzing and examining income inequality in Nigeria.

The paper obtained data from the Living Standard Measurement Survey Wave 3, published 2017 with emphasis on the earnings that accrued to both male and female. The study employed the ordinary least square (OLS) method to show the relationship between the mean income and other parameters such as the sector of employment, marital status and education level. Theil’s entropy index was used to measure the within and between inequality that exist in the economy and across regions and sectors while adopting the overcrowding theory.

The result shows that gender inequality is more pronounced across the region, location and in some sectors of employment than the others. Geographical area has a higher effect on earnings disparity but is more pronounced among females. Also, the result showed that gender within inequality was high in the regions, education, location, and marital status while a higher level of education contributes to high wages for women. However, married women are more deprived.

This study has further revealed the need to bridge the gap gender inequality has caused in Nigeria, especially related to income, education and geographical location, with a focus on both opportunities and outcomes.

Self-employment is often viewed as a more desirable work arrangement than working as an employee for a firm. Women are pushed into self-employment due to organizational factors, such as a shrinking workforce or limited job opportunities, while being attracted to self-employment by the many psychological and social benefits (e.g., independence, flexibility, work-life balance, job satisfaction). Despite more women moving into self-employment, this type of employment still has different financial consequences for men and women. This article investigates whether a pay gap exists for self-employed women after controlling for industry, occupation, and hours worked and seeks to quantify the gender wage gap for the self-employed. A sample of 467 self-employed independent contractors in the United States was examined from the 2008 National Study of the Changing Workforce. The results indicate a large financial disparity between self-employed women and men. On average men earned $54,959 as compared to women who earned on average $28,554. Regardless of the parity in education, work experience, number of hours worked, or occupations, women earn less than men in self-employment. Findings suggest the existence of the glass cage‐a phenomenon whereby self-employed women earn significantly less than self-employed men with limited abilities to narrow the economic inequality.

This paper analyzes the issue of wage differentials and gender discrimination in the Brazilian labor market.

The methodology is based on the log-linear equation model by Mincer (1974) and the decomposition method by Oaxaca (1973) and Blinder (1973) and was estimated using data from the National Household Sample Survey (PNAD).

The main results indicate that there was a reduction in wage differentials and gender discrimination in the majority of regions in Brazil for white workers when comparing the available years. However, for non-white workers, the degree of discrimination increased in Brazil, especially in the central-west and southeast regions. Overall, wage decompositions have suggested that women suffer from wage discrimination.

This is the first paper detailing wage discrimination across the different Brazilian regions and also controlling for usual dimensions like gender and race.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2021-0569.

Building on recent advances in inverse probability weighted identification and estimation of counterfactual distributions, the authors examine the history of wage earnings for women and their potential wage distributions in the United States. These potentials are two counterfactuals, what if women received men’s market “rewards” for their own “skills,” and what if they received the women’s rewards but for men’s characteristics? Using the Current Population Survey data from 1976 to 2013, the authors analyze the entire counterfactual distributions to separate the “structure” and human capital “composition” effect. In contrast to Maasoumi and Wang (2019), the reference outcome in these decompositions is women’s observed earnings distribution, and inverse probability methods are employed, rather than the conditional quantile approaches. The authors provide decision theoretic measures of the distance between two distributions, to complement assessments based on mean, median, or particular quantiles. We assess uniform rankings of alternate distributions by tests of stochastic dominance in order to identify evaluations robust to subjective measures. Traditional moment-based measures severely underestimate the declining trend of the structure effect. Nevertheless, dominance rankings suggest that the structure (“discrimination”?) effect is bigger than human capital characteristics.

This study conducts a comparative analysis of the impact of educational mismatch on Spanish wages. This paper aims to focus on the industrial, construction and service sectors at three levels of disaggregation: sector, occupation and gender.

The over-education, required education and under-education (ORU model), was applied to data from the 2018 Spanish Wages Structure Survey conducted by the Spanish National Statistics Institute.

The industrial sector is the one that best manages over-education by offering the highest returns to each year of over-education. It is also the sector that most values the education of women, particularly those in highly qualified positions.

This study compares the wage effects of educational mismatch in the service, industry and construction sectors. Previous literature has ignored the latter sectors in this field of study, but the results of the present study show that the industrial sectors significantly value and remunerates worker education. Therefore, it may be worthy to focus certain economic and social policies on this sector, to contribute to reducing gender wage gaps and gender employment discrimination in the economy.