Analysis of Regional Wage Difference in Labor Market Discrimination

Based on geographical isolation, dual labor market and other factors, the development of China’s different regional economy has obvious characteristics of differentiation, which can be embodied in the phenomenon of “different salaries for the same work” and “different workers with the same salary”. In order to further analyze its influence, this paper analyzes the regional discrimination in the free labor market with the help of the multiple regression analysis model of regional wage and remuneration in economics, referring to the factors such as region, occupation, expenditure cost and labor market, and on the basis of studying the influence of labor market discrimination, wage difference and human resources on labor remuneration.

What explains wage differences between male and female Brazilian physicians? A cross-sectional nationwide study

ObjectiveIn many countries an increase in the number of women in medicine is accompanied by gender inequality in various aspects of professional practice. Women in medical workforce usually earn less than their male counterparts. The aim of this study was to describe the gender wage difference and analyse the associated factors in relation to Brazil’s physicians.Participants2400 physicians.SettingNationwide, cross-sectional study conducted in 2014.MethodsData were collected via a telephone enquiry. Sociodemographic and work characteristics were considered factors, and monthly wages (only the monthly earnings based on a medical profession) were considered as the primary outcome. A hierarchical multiple regression model was used to study the factors related to wage differences between male and female physicians. The adjustment of different models was verified by indicators of residual deviance and the Akaike information criterion. Analysis of variance was used to verify the equality hypothesis subsequently among the different models.ResultsThe probability of men receiving the highest monthly wage range is higher than women for all factors. Almost 80% of women are concentrated in the three lowest wage categories, while 51% of men are in the three highest categories. Among physicians working between 20 and 40 hours a week, only 2.7% of women reported receiving >US$10 762 per month, compared with 13% of men. After adjustment for work characteristics in the hierarchical multiple regression model, the gender variable estimations (ß) remained, with no significant modifications. The final effect of this full model suggests that the probability of men receiving the highest salary level (≥US$10 762) is 17.1%, and for women it is 4.1%. Results indicate that a significant gender wage difference exists in Brazil.ConclusionThe inequality between sexes persisted even after adjusting for working factors such as weekly workload, number of weekly on-call shifts, physician office work, length of practice and specialisation.

Women’s access to supervisory jobs and gender inequality

Purpose The purpose of this paper is to analyze the effects on the gender wage gap of women’s access to supervisory jobs within each establishment in the Spanish labor market. Previous empirical studies have found that promoting women to supervisory positions has decreased the wage difference between genders among workers beneath them. However, these studies did not take into account the endogeneity problem associated with job choice. Design/methodology/approach The author uses a switching model to control for this endogeneity problem under certain assumptions. Findings Using matched employer–employee data from a sample of 213,709 workers in the Spanish labor market, the author found that an increase in the proportion of women among supervisors within each establishment significantly widens the wage difference between genders. This study shows that the impact of an increase in women’s power within establishments may well be more limited than other empirical studies suggest. Originality/value The author will use the estimated correlations between unobservables to find out whether the most valued skills for being a supervisor and the skills that make a worker more productive in the workplace are substitutes or complements. Additionally, the author breaks down the effects of the gender composition of supervisory jobs on the wage gap into a direct and an indirect effect. The direct effect measures the impact of women’s representation among supervisors on the wage difference between men and women within the same job, whereas the indirect effect measures the impact of more women reaching supervisory posts on the wage gap induced by its impact on each type of gender segregation.

The Effects of Minimum Wage Throughout the Wage Distribution in Indonesia

The global financial crisis in 2007 followed by Indonesia’s largest labor demonstration in 2013 encouraged turmoils on Indonesia labor market. This paper examines the effect of the minimum wage on wage distribution in 2007 and 2014 and how the minimum wage increases in 2014 affected the distribution of wage differences between 2007 and 2014. This study employs recentered influence function (RIF) regression method to estimate the wage function by using unconditional quantile regression. Furthermore, to measure the effect of the minimum wage increase in 2014 on the distribution of wage differences, it uses the Oaxaca–Blinder decomposition method. Using balanced panel data from the Indonesian Family Life Survey (IFLS), it found that the minimum wage mitigates wage disparity in 2007 and 2014. The minimum wage policy in 2014 leads to an increase in the wage difference between 2007 and 2014, with the largest wage difference being in the middle distribution.DOI: 10.15408/sjie.v7i2.6125