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The purpose of this paper is to investigate the gender wage disparity in paid employment and self-employment. To achieve this objective, the Cameroon Household Consumption Survey of 2007 is used. The main question considered in this paper is why women paid employment and self-employment wages are relatively low. In a whole, what are the underlying factors that generate and explain wage gap between men and women householders in employment?

First, the paper uses the Oaxaca-Blinder Decomposition to explain wage gap. Thereafter, the Quantile Regression Decomposition using Machado and Mata approach is applied in order to see the gap at different levels of the wage distribution.

The main finding indicates that in both methods, the wage gap is due to an unexplained component in self-employment and explained component in paid employment, particularly with strong effects at the extreme of wage distribution.

The topic of this paper helps to explain and analyse the functioning of the Cameroonian labour market.

The findings can be applied to narrow the gender wage gap by eliminating discrimination and approving the principle of equal opportunity, support policies that reduce obstacles preventing women from starting and developing their businesses to encourage more women to become entrepreneurs and achieve harmonisation between work and family life.

Using available data survey, this paper is the first to identify and decompose the causes of paid employment and self-employment gender wage gap in Cameroon.

This study aims to investigate the effect of smoking on the income of workers in the Brazilian labor market.

Using data from the 2019 National Health Survey (PNS), we initially address the sample selection bias concerning labor market participation by using the Heckman (1979) method. Subsequently, the decomposition of income between smokers and nonsmokers is analyzed, both on average and across the earnings distribution by employing the procedure of Firpo, Fortin, and Lemieux (2009) - FFL decomposition. Ñopo (2008) technique is also used to obtain more robust estimates.

Overall, the findings indicate an income penalty for smokers in the Brazilian labor market across both the average and all quantiles of the income distribution. Notably, the most significant differentials and income penalties against smokers are observed in the lower quantiles of the distribution. Conversely, in the higher quantiles, there is a tendency toward a smaller magnitude of this gap, with limited evidence of an income penalty associated with this habit.

This study presents an important limitation, which refers to a restriction of the PNS (2019), which does not provide information about some subjective factors that also tend to influence the levels of labor income, such as the level of effort and specific ability of each worker, whether smokers or not, something that could also, in some way, be related to some latent individual predisposition that would influence the choice of smoking.

The relevance of the present study is clear in identifying the heterogeneity of the income gap in favor of nonsmokers, as in the lower quantiles there was a greater magnitude of differentials against smokers and a greater incidence of unexplained penalties in the income of these workers, while in the higher quantiles, there was low magnitude of the differentials and little evidence that there is a penalty in earnings since the worker is a smoker.

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.

This paper examines the role of occupational segregation in the evolution of wage differentials by gender and race in the Brazilian labor market between 2005 and 2015.

The author uses microdata from the National Household Sample Survey and adopts two occupational integration typology to capture both horizontal and vertical segregation. The decomposition method proposed by Firpo et al. (2009) is employed to investigate the determinants of changes in differentials along the wage distribution.

Results suggest a glass ceiling effect for all groups compared to white men. Gender and racial discrimination persist, especially at the top of the distribution. For both black women and men, observable characteristics account for most of the wage differentials, while for white women, the opposite occurs because of their education level. Vertical segregation behavior indicates that white men continue over-represented in higher-paid occupations. Although women improved their relative position in the occupational hierarchy, horizontal segregation behavior shows that their concentration in female-dominated occupations has not reduced, except in extreme quantiles. Education played a crucial role in reducing wage gaps, and regional differences stood out as a significant factor of the racial disadvantage.

The paper shows significant differences between the groups regarding verticalization and horizontalization of occupational structure along the wage distribution and over time, contributing to filling some gaps in the literature concerning the wage stratification based on gender and race in Brazil. Occupational segregation as a composition factor of the groups determines their positions in a vertically hierarchical and socially stratified occupational structure. The behavior of horizontal and vertical segregations evidences the continue under-valorization of female occupations and the barriers faced by racial and gendered groups to overcome the glass ceiling effect. Recognize the intersectionality of gender and race in addressing inequalities is fundamental to promote policies that overcome them.

This study uses migrant household survey data from 2008 to 2009 to examine how parental migration decisions are associated with the nutritional status of children in rural and urban China. Results from instrumental variables regressions show a substantial adverse effect of children’s exposure to parental migration on height-for-age Z scores of left-behind children relative to children who migrate with their parents. Additional results from a standard Blinder–Oaxaca decomposition, a quantile decomposition, and a counterfactual distribution analysis all confirm that children who are left behind in rural villages – usually because of the oppressive hukou system – have poorer nutritional status than children who migrate with their parents, and the gaps are biggest at lower portions of the distribution.

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).

The purpose of the paper is to analyse how the male-female pay gap in China varies across the pay distribution and to provide evidence on the factors that influence that gap.

The authors use the Recentered Influence Function modification of quantile regressions to estimate how the male-female pay gap varies across the pay distribution. The authors also decompose the pay gaps at different quantiles of the pay distribution into differences in endowments of wage determining characteristics and differences in the returns for the same characteristics. The analysis is based on data from the Life Histories and Social Change in Contemporary China survey.

The authors find evidence of a sticky floor (large pay gaps at the bottom of the pay distribution) and some limited and weaker evidence of a glass ceiling (large pay gaps at the top of the distribution). This pattern prevails based on the overall pay gap as well as on the adjusted or net gap that reflects differences in the pay that males and females receive when they have the same pay determining characteristics. The pattern largely reflects the coefficients or unexplained differences across the pay distribution. Factors influencing the pay gap and how they vary across the pay distribution are discussed. The variation highlights considerable heterogeneity in the Chinese labour market with respect to how pay is determined and different characteristics are rewarded, implying that the conventional Blinder-Oaxaca decompositions that focus only on the mean of the distribution can mask important differences across the full pay distribution.

At the bottom of the pay distribution most of the lower pay of females reflects their lower returns to job tenure, experience and a greater negative effect of family responsibilities on females’ wages, and to a lesser extent their lower level of education, less likelihood of being CPP members and their concentration in lower paying occupations. At the top of the pay distribution most of their lower pay reflects their lower returns on education, job tenure and work experience, and to a lesser extent their lower levels of experience and lower likelihood of being in managerial and leadership positions.

The paper systematically examines the male-female pay gap and its determinants throughout the pay distribution in China, highlighting that the conventional Blinder-Oaxaca decompositions that focus only on the mean of the distribution can mask important differences across the full pay distribution and not capture the considerable heterogeneity in that labour market.

The purpose of this paper is to examine wage differences between part- and full-time workers distinguishing by gender by using a large Spanish matched employer-employee data set and an econometric decomposition that permits to decompose wage differences by quantiles of the wage distribution.

The research is based on cross-section matched employer-employee microdata from a large representative survey (the Encuesta de Estructura Salarial) which is carried out with a harmonised methodology common to all European Union member countries and that has been designed specifically to provide reliable evidence about characteristics of the wage distribution such us wage differentials associated with the type of working time. From a methodological point of view, the econometric decomposition technique proposed recently by Fortin et al. (2011) to decompose wage differences between part-time and full-time workers by quantiles of the wage distribution is applied. This methodology has the advantage over similar techniques that provides a detailed decomposition of wage differentials and has not been used before to examine the wage impact of part-time jobs.

The results show that the significant raw wage gap that part-time workers experience in Spain differs substantially along the wage distribution. In the case of part-time females, the wage disadvantage is mostly explained by their relative endowments of characteristics (and particularly by their lower endowments of human capital and their segregation into low-wage sectors) but a significant wage penalty still persists, increasing along the wage distribution. In the case of males the wage disadvantage is only found in the lower part of the distribution and it is due both to their worst endowments of characteristics and a significant wage penalty.

The evidence for Spain shows that the part-time work tends to affect differently to the wages of males and females, with a higher part-time penalty for males, as predicted by the “flexibility stigma” hypothesis, and penalising low-qualified men in the lower part of the wage distribution and high-qualified women in the upper part of the distribution the most.

The analysis contributes to the literature by examining wage differences along the wage distribution for both genders using econometric decomposition methods, an aspect that to the authors’ knowledge has been examined only scarcely in the international literature with non-conclusive evidence and has not been examined in previous studies for the Spanish case. In this vein, Spain is a particularly interesting analysis case from an international perspective of the wage consequences of part-time jobs, given that in contrast with most other advanced countries a majority of part-time employment in this country is involuntary and this phenomenon is especially affecting disadvantaged groups.

The purpose of this paper is to examine the effects of changes in the relative composition and in the segmentation between formal and informal labour on earnings differentials among women over the last decade in Brazil.

The authors follow Machado and Mata’s method to decompose the changes along the earnings distribution, with correction for sample selection and using microdata from the Demographic Census of 2000 and 2010. Informal labour was divided into informal salaried labour and self-employment, and both groups were compared with the formal labour separately.

The results indicate that, in both cases, an increase in earnings differentials in the bottom of the earnings distribution due to segmentation, suggesting that the returns to formal labour have grown relatively to informal labour during the period. On the other hand, earnings differentials decrease as one moves up the earnings distribution due to the composition effect, which is stronger on the top of the distribution relatively to the bottom. Furthermore, there are compensating differentials for self-employed women above the 30th quantile, which contributed to reduce the inequality between this group and formal workers.

The paper contributes to a better understanding of the changes taking place in female labour, shedding some light on how they affect different points along the earnings distribution. Furthermore, the adopted approach proposes a new application for the correction of sample bias in the context of quantile regression by employing a logit multinomial, and using the Demographic Census data.

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.