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This study investigated the gender wage gap in Nigeria by analysing two waves of household surveys (in 2003–2004 and 2018–2019) in order to understand the dynamics or polarisation of the labour market in Nigeria in terms of the gender wage gap over time.

The study applied an extension of Oaxaca–Blinder decomposition that relies on the re-centred influence function (RIF) regressions to analyse the gender wage gap at all points along the wage distribution.

The results unambiguously show that there is a significant gender wage gap in Nigeria at all points along the wage distribution, such that for the two surveys used and after nearly two decades, men still earn more than women. That is, the log wage difference between males and females is statistically significant at all points between the 10th and the 90th quantiles. In 2003–2004 period, the authors found that most of the wage difference was significantly accounted for by the wage structure effect, whilst the composition effect was negative and only significant at the bottom of the wage distribution. Since the 2018–2019 period, the authors found that there has been a visible change such that most of the gender wage gap is now accounted for by the composition effect at all points along the wage distribution. Another interesting finding is that there has been a general decline in the gender wage gap along the entire wage distribution, such that inequality was higher in 2003–2004 than in 2018–2019. This decline is bigger at the top than at the bottom of the wage distribution. The authors also found that, contrary to some of the studies on the wage gap, the raw gaps for the two surveys appear to show inverted U-shape, but the gap has fallen quickly since the 2018–2019 period. Thus, the authors found strong evidence of a “sticky floor” compared to a “glass ceiling” effect in both periods, and this becomes more pronounced over time. In terms of the contributions of individual covariates on gender pay gap in Nigeria, the authors found that urban residence, unionisation, education and occupation variables exhibit major influence. However, the effects of covariates on the composition and wage structure components of the wage gap have changed over time.

The major policy implication of these findings is that to address the gender wage gap in Nigeria, policy should focus more on how labour is rewarded and improving human capital for women.

This study is a novel paper in Nigeria that has investigated the gender wage gap in Nigeria by extending the focus of literature in three ways. First, the authors applied an extension of Oaxaca–Blinder decomposition that relies on the RIF regressions to analyse the gender wage gap at all points along the wage distribution. Second, the authors used sample selection bias to account for the non-randomness of participation in wage employment. And third, the authors applied similar analysis to two waves of household surveys (in 2003/2004 and 2018/2019) in order to understand the dynamics or polarisation of the labour market in Nigeria in terms of the gender wage gap over time.

This paper aims to explore the relationship between gender occupational intensity and wages in the Northern Triangle of Central America using national surveys carried out in 2014.

A harmonized occupational classification at the -digit level is built with the objective of analyzing the occupational distribution across countries. Then, quantile regressions (QRs) are estimated to explore in detail which factors are affecting the wages of both females and males; in particular, this paper pays special attention to female occupational intensity (the share of females within each occupation).

The comparative analysis suggests that women are overrepresented in certain occupations, and they are much more likely to be working in part-time jobs than men in all countries. Furthermore, findings reveal that working in female-dominated occupations has a negative effect on wages along the distribution across countries. However, the effect of this variable is higher at the lower quantile of the distribution for women, especially in El Salvador and Honduras.

This paper first proposes a new typology of occupations, which allows a consistent and comparable analysis of the occupational structure. The results then provide a picture to address gender occupational intensity and its links with wages. Further, the characteristics of the labor market and differences in trends across these countries suggest that this topic requires challenging research for the region.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2021-0165

The aim is to assess how a policy of tertiary education for all affects the shape of the unconditional earnings distribution.

The paper discusses the quantile-regression literature looking at the link between education and wage inequality, also proving new evidence based on unconditional quantile regressions.

The findings support the idea that a policy of tertiary education for all increases the overall level of wage inequality.

The research has implications for public policy and administration. Among the limitations, the paper does not deal with distributional aspects related to other outcomes (e.g. health outcomes) of the policy of interest.

The analysis highlights a series of potential government interventions aimed at reducing the wage-inequality externalities of the policy of interest.

A policy of tertiary education for all, by itself, is not useful to fight wage inequality.

This paper belongs to the small group of studies using unconditional quantile regressions to study the link between education and wage inequality. It is the first study specifically looking at the distributional effects of a policy of tertiary education for all.

The aim of the research is to estimate the level of the early career gender wage gap in Russia, its evolution during the early stages of a career, gender segregation and discrimination among university graduates, and to identify factors which explain early career gender differences in pay. Special emphasis is placed on assessing the contribution of horizontal segregation (inequal gender distribution in fields of studies and industries of employment) to early-career gender inequality.

The study is based on a comprehensive and nationally representative survey of university graduates, carried out by Russian Federal State Statistics Service in 2016 (VTR Rosstat). The authors use Mincer OLS regressions for the analysis of the determinants of gender differences in pay. To explain the factors which form the gender gap, the authors use the Oaxaca-Blinder and Neumark gender gap decompositions, including detailed wage gap decompositions and decompositions by fields of study. For the analysis of differences in gender gap across wage distribution, quantile regressions and quantile decompositions based on recentered influence functions (RIFs) are used.

The study found significant gender differences in the early-career salaries of university graduates. Regression analysis confirms the presence of a 20% early-career gender wage gap. This gender wage gap is to a great extent can be explained by horizontal segregation: women are concentrated in fields of study and industries which are relatively low paid. More than half of the gender gap remains unexplained. The analysis of the evolution of the gender wage gap shows that it appears right after graduation and increases over time. A quantile decomposition reveals that, in low paid jobs, females experience less gender inequality than in better paid jobs.

The analysis has some important policy implications. Previously, gender equality policies were mainly related to the elimination of gender discrimination at work, including positive discrimination programs in a selection of candidates to job openings and programs of promotion; programs which ease women labour force participation through flexible jobs; programs of human capital accumulation, which implied gender equality in access to higher education and encouraged women to get higher education, which was especially relevant for many developing countries. The analysis of Russia, a country with gender equality in access to higher education, shows that the early career gender gap exists right after graduation, and the main explanatory factor is gender segregation by field of study and industry, in other words, the gender wage gap to a high extent is related to self-selection of women in low-paid fields of study. To address this, new policies related to gender inequality in choice of fields of studies are needed.

It has been frequently stated that gender inequality appears either due to inequality in access to higher education or after maternity leave. Using large nationally representative dataset on university graduates, we show that gender equality in education does not necessarily lead to gender equality in the labour market. Unlike many studies, we show that the gender gap in Russia appears not after maternity leave and due to marital decisions of women, but in the earliest stages of their career, right after graduation, due to horizontal segregation (selection of women in relatively low-paid fields of study and consequently industries).

This paper tries to identify the wage gap between informal and formal workers and tests for the two-tier structure of the informal labour market in Poland.

The author employs the propensity score matching (PSM) technique and use data from the Polish Labour Force Survey (LFS) for the period 2009–2017 to estimate the wage gap between informal and formal workers, both at the means and along the wage distribution. The author uses two definitions of informal employment: (1) employment without a written agreement and (2) employment while officially registered as unemployed at a labour office. In order to reduce the bias resulting from the non-random selection of individuals into informal employment, he uses a rich set of control variables representing several individual characteristics.

After controlling for observed heterogeneity, the author finds that on average informal workers earn less than formal workers, both in terms of monthly earnings and hourly wage. This result is not sensitive to the definition of informal employment used and is stable over the analysed time period (2009–2017). However, the wage penalty to informal employment is substantially higher for individuals at the bottom of the wage distribution, which supports the hypothesis of the two-tier structure of the informal labour market in Poland.

The main contribution of this study is that it identifies the two-tier structure of the informal labour market in Poland: informal workers in the first quartile of the wage distribution and those above the first quartile appear to be in two partially different segments of the labour market.

This paper explores the wages of White, Black, Hispanic, Asian, Native American and “other race” women and men once differences in basic characteristics among these 12 groups are accounted for. The authors aim to extend comparisons beyond those of women and men of the same race or the various races within a given gender.

To undertake the conditional analysis, first, the authors propose a simple re-weighing scheme that allows to build a counterfactual economy in which workers' attributes for all gender–race/ethnicity groups are the same. Second, the authors use a well-known re-weighting scheme that involves logit estimations.

Only Hispanic men, Native American men and Asian women have conditional wages around average. Black men and, especially, White, Black, Hispanic, Native American and “other race” women have conditional wages clearly below average, whereas those of Asian and White men are well above average. The wage differential between a privileged and a deprived group is disentangled into the premium of the former and the penalty of the latter, which brings a new perspective to what has been done in the literature based on pairwise comparisons. In this intersectional framework, the authors document that gender penalizes more than race.

This paper examines intergroup earnings differentials using a methodology that allows to examine 12 gender–race/ethnicity groups jointly, which is this work's distinctive feature. The authors' intersectional framework allows to picture the effect of gender and race/ethnicity more broadly than what the literature has shown thus far.

In this article, the authors study the gender pay-gap (GPG) among graduates in Italy (2011 cohort) who were employed four years after graduation. The authors focus on individuals who are new entering in the labour market or who match a low level of experience with a high level of education.

Aimed at estimating the amount of the differential between male and female average wages, the authors have applied the Oaxaca–Blinder (O–B) decomposition. The results identify the presence of a GPG at the very beginning of graduates’ careers given that, shortly after graduation, women receive lower salaries than men, even after controlling for several characteristics (individual, academic, job and local labour market). The authors completed the analysis with the reweighted O–B decomposition using the recentered influence function (RIF) and the Juhn, Murphy and Pierce and Machado and Mata decomposition approaches.

The results show that the GPG is already present at the very beginning of graduates’ careers, and it increases when correcting for women’s lower level of participation in the labour market. The authors also identified sticky floor and the glass ceiling effects due to the existence of a relevant high GPG both at the bottom and the top of the graduates’ wage distribution.

By focussing attention particularly on graduates, this paper adds to the existing literature a deeper understanding not only of individuals who have recently entered the labour market, but also those who are highly skilled but have little on-the-job experience. In fact, the authors are looking at a particular sample (graduates who are all transitioning from university to work during the same period) with small heterogeneity which allows the authors to compare very similar young men and women graduates and gain a deeper understanding of GPGs in early careers while controlling for confounding and hidden sources of variability.

This paper aims to measure income differences between the obese and the non-obese for Brazil and understand which components explain these differences.

A decomposition method based on recentered influence functions, proposed by Firpo et al. (2007) is used, and the procedure is applied to individuals' income distribution quantiles.

The results confirm the existence of a wage gap between obese and non-obese men and women. In the case of men, the difference was favorable to the obese in all quantiles and in the case of women, favorable to the non-obese. The biggest differences were observed at the top of the distribution. This difference is mostly explained by observable characteristics that cause the wage gap between groups. The wage structure effect, which may have elements associated with discrimination in its composition, was not relevant in most quantiles.

Unobserved factors can impact the results, but our methodology tries to minimize such impact.

The authors can only observe a point in time and with that they do not know how long the individual has been obese.

The methodology adopted in the work is recent; moreover, studies on the effects of obesity on the labor market are still recent in Brazilian research.

After the decision of the Egyptian government to adhere to the Equal Pay International Coalition in 2020, a great deal needs to be done to guarantee ‘equal pay for equal work’. The authors provide a comprehensive, in-depth, up-to-date analysis of the gender wage gap in Egypt, as well as its evolution over the last 20 years, disaggregated by public and private sector. The authors also provide an analysis of the cultural determinants of Egypt's low female participation.

The authors apply the Oaxaca-Blinder decomposition (with sample selection) to assess the gender wage gap at the mean of the wage distribution in the public and private sector. The authors also implement a re-centred influence function decomposition to assess the extent of ‘discrimination’ along the wage distribution in both sectors. An inverse-probability-weighted regression adjustment procedure is used to assess the joint impact of gender and firm-ownership. A female participation equation taking into account gender equality attitude is provided.

The authors find a sizable and increasing gender wage gap in the private sector almost entirely due to ‘discrimination’. The authors also find evidence of a sticky floor in the private sector and a glass ceiling in the public one. Cultural barriers play a major role in determining female participation.

This is the first paper on the evolution of gender equality in Egypt that takes into account the effect of the 'Arab Spring’ of 2011. To the best of the authors’ knowledge, this is also the first time that an IPWRA procedure is applied to study the interaction effect of gender and firm-ownership.

The gender pay gap is a well-documented phenomenon in labor economics. Based on the 2018 Structure of Earnings Survey (SES), the authors estimate the impact of observable characteristics on the gender pay gap in Visegrad Group countries and provide policy recommendations on reducing the gender pay gap.

The Oaxaca-Blinder decomposition is applied to estimate the values of explained and unexplained parts of the gender pay gap. Gender pay gap in unadjusted as well as adjusted form is estimated using data on the individual level.

The results show that unadjusted gender pay gap proved to be stable at more than 20%. The authors found evidence that education widens gender pay gap implying that men have higher returns on education than women. Tertiary education proved to be the highest contributor to widening of gender pay gap. Results also show that there is strong sectoral and occupational segregation. Decomposition proved that only 21% of gender pay gap could be explained by observed characteristics. The unexplained part showed negative values, meaning women would have higher wages, if they had characteristics like men.

Structure of Earnings Survey data are published every four years; therefore the authors’ dataset from year 2018 might not completely reflect today's reality. Unfortunately, newer data are note available yet. Second, Structure of Earning Survey data do not contain variables representing social factors of respondents like marital status, number of children or labour market absence due to birth or childcare. Third, data used for this study do not contain firms that have less than 10 employees; therefore, considerable portion of the labour market is omitted.

Results of this study will help policymakers understand the roots and causes of the gender pay gap in Visegrad Group countries but addressing this issue requires further research.