The gender differences in highly paid wage: a case study of Peruvian physicians

Amaya, Elard; Mougenot, Benoît

doi:10.1590/0102-311x00043018

Cited by 4 publications

(2 citation statements)

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“…A study evaluating the applications for a laboratory position in North American universities showed that men were perceived as more competent and eligible than their female counterparts, even when the evaluators were women [20]. Although in this analysis the presence of observable factors predominated over unobserved ones, it is clear that in the academic field women suffer a series of disadvantages, such as lower likelihood of being main teachers, deans, obtaining research funds, salaries, among others [20,37–40]. This in turn suggests that unobserved factors play an essential role when discussing gender gaps.…”

Section: Discussionmentioning

confidence: 98%

Gender disparities in scientific production: A nationwide assessment among physicians in Peru

2019

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ObjectiveTo determine the presence of a gender gap in the scientific production among Peruvian physicians and analyze either gap is associated with the presence of observable factors or the presence of prejudices against female physicians.MethodsWe analyzed data from the National Survey of User Satisfaction in Health 2016, a nationally representative survey that collected information about medical professionals working in health institutions in Peru. The outcome of interest was the number of publications in indexed journals. We estimated the gender gap in scientific production using the Oaxaca-Blinder (OB) decomposition method.ResultsFrom the 2216 physicians surveyed, 252 reported published at least one article in an indexed journal. From physicians with scientific production, 37.7% were women. The analysis of OB decomposition showed a gap of 2.11 indexed publications, disfavoring female physicians (p<0.01). Likewise, the explained component was 1.36 publications, representing 64.5% of the total gap (p<0.05).ConclusionsThere is a gender gap in the number of publications in indexed journals among Peruvian physicians. This gap is mainly explained by observable factors, such as the years of medical practice, being an accredited researcher and being a professor.

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Section: Discussionmentioning

confidence: 98%

Gender disparities in scientific production: A nationwide assessment among physicians in Peru

2019

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“…In Latin America, evidence shows a widening of the wage differential between skilled (more educated) and unskilled workers since 1980s as a result of its increased trade openness affecting disproportionately men and women (Wood, 1997). A recent analysis of the gender wage gap of in highly skilled physicians in Peru points out that the unexplained component, which is associated with gender discrimination, seem to be the main factor driving the gap (Amaya & Mougenot, 2019). Overall, however, the research on the wage gap in developing countries is limited and dispersed.…”

Section: Introductionmentioning

confidence: 99%

The Gender Wage Gap in Developing Countries

Si¹,

Nadolnyak²,

Hartarska³

2020

AEF

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The labor literature documents a gender wage gap between the earnings of men and women in the developed countries but research on the gap in developing countries is less common and usually focuses on individual countries. Research typically identifies a part of the wage gap that is due to observable characteristics, or endowments, and an unexplained part attributable to differences in gender wage equation coefficients sometimes interpreted as gender bias. The focus of recent gender wage gap research has been on understanding how the gender gap varies along the earnings distribution. In this paper, we investigate the determinants of the gender wage gap across 12 developing countries using data from the World Bank’s STEP (Skills Toward Employment and Productivity) Measurement survey that provides information on household demographic characteristics, education and training, employment, and job skills. We apply the classical Blinder-Oaxaca decomposition and combined with quantile regression and also use decomposition methods based on the recentered influence function to obtain distributional decomposition of the wage gap by covariates and by quantiles. Our results show that there are significant gender pay differences that generally decrease with earnings and are mostly due to differences in the intercepts and a slightly offsetting difference in returns to education that are higher for women. The explained part of the gender wage gap, although much smaller, is attributed almost entirely to lower educational level of women and the motherhood penalty. The main conclusion is that improvements in women’s education and training, as well as child friendly labor policies, remain the most important factors that can help to narrow the gender gap in developing countries, which is consistent with previous work.

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