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The purpose of this study is to investigate whether ethnic discrimination is present in the Russian labor market and whether it has a significant economic effect on the potential salaries of applicants.

Data were collected using a correspondence audit for four experimental male applicants with identical professional and personal characteristics while differing only in applicant name as a signal of applicants' ethnic background. Implied ethnicities include Russians, Armenians, Jews and North Caucasians. Résumés were sent out to 800 real unique vacancies on behalf of the experimental applicants with a geographic focus on the capital Moscow.

The results of the analysis suggest that there is a significant difference in treatment in both response rate and potential average salaries on ethnic grounds. Disadvantaged groups were found to be systematically pushed into jobs paying 15% less monthly wage.

The study investigates the existence of ethnic discrimination in the Russian labor market and furthermore economically quantifies the effects of discrimination.

Several studies find that there is little sex gap in wages at labor market entry, and that the sex gap in wages emerges (and grows) with time in the labor market. This evidence is consistent with (i) there is little or no sex discrimination in wages at labor market entry, and (ii) the emergence of the sex gap in wages with time in the labor market reflects differences between women and men in human capital investment (and other decisions), with women investing less early in their careers. Indeed, some economists explicitly interpret the evidence this way. We show that this interpretation ignores two fundamental implications of the human capital model, and that differences in investment can complicate the interpretation of both the starting sex gap in wages (or absence of a gap), and the differences in “returns” to experience. We then estimate stylized structural models of human capital investment and wage growth to identify the effects of discrimination (or other sources of a starting pay gap) and differences in human capital investment.

Studies on wage discrimination assume that independent observers are able to distinguish a priori which workers are suffering from discrimination. However, this may not be a good assumption when anti-discrimination laws mean that severe penalties can be imposed on discriminatory employers or when unobserved heterogeneity is significant. We develop a wage discrimination model in which workers are not classified a priori. It can be thought of as a generalization of the standard empirical framework, whereas the Oaxaca–Blinder model can be thought of as an extreme case. We propose a finite mixture model to explicitly model unobserved heterogeneity in individual characteristics and estimate the probabilities of being a discriminated or a non-discriminated worker. We illustrate this proposal by estimating wage discrimination in Germany and the UK.

The purpose of this study is to determine why female labor force participation in Iran has been less than 20 percent.

The authors estimate a structural dynamic matching model of female participation using individual panel data in Iran. The study incorporates many factors such as wage, child cost, education, spouse employment and job market search parameters.

The study finds that gender discrimination in job finding has the biggest effect in reducing the rate of women's participation. If all market differences disappear, the female participation rate will increase by 12 percentage points to almost 27 percent, which is still much lower than that of developed countries with the average of 60 percent.

This study provides the first structural search model using a developing country's microdata to study female labor participation.

The purpose of this paper is to evaluate the true level of discrimination against openly gay and lesbian applicants in hiring decisions in OECD countries as well as on its determinants.

The author presents an overview of all studies conducted in order to test for discrimination against homosexual applicants in the labor market by the correspondence testing method. Moreover, the author performs a meta-analysis of correspondence tests from 18 separate studies conducted in OECD countries to test sexual orientation discrimination, containing more than 70 estimates of effects and representing a total of more than 50,000 resumes sent to employers. In addition to presenting overall results, the author focus on subgroups of specific correspondence tests in order to highlight the differences across gender, type of jobs, procedure, continent and type of information provided in applications.

The author provides evidence that sexual orientation discrimination occurs in the labor market in OECD countries, such that openly homosexual applicants face similar discrimination as ethnic minority applicants. Discrimination is significantly greater in the selection process for low-skilled than for high-skilled jobs. In the selection process for low-skilled jobs, lesbian candidates face significantly lower discrimination than gays (except in jobs that are considered “women’s” jobs). Discrimination is significantly higher in Europe than in North America. Moreover, the way sexual orientation is signaled may influence the level of discrimination found. Finally, discrimination against homosexual applicants is not only a matter of preferences: providing more positive information in applications significantly reduces the level of discrimination.

This paper offers the first quantitative analysis of sexual orientation discrimination in OECD countries through meta-analyses.

This article deals with the impact of ethnic origin on individual employability, focussing on the first stage of the hiring process. Deeply, the authors’ goal is to fathom whether there is a preference for native job candidates over immigrants, decomposing the discrimination against minority groups into its statistical and taste-based components by means of a new approach.

The authors built up a data set by means of an ad hoc field experiment, conducted by sending equivalent fictitious CVs in response to 1000 real online job openings in Italy. The authors developed the discrimination decomposition index using first- and second-generation immigrants.

The authors’ main result is that both first- and second-generation immigrants are discriminated compared to Italians. In between the two categories, second-generation candidates are discriminated especially if their ethnicities are morphologically different from those of natives (i.e. Chinese and Moroccans). This last finding is a clear symptom of discrimination connected to taste-based reasons. On the other hand, first-generation immigrants of all nationalities but Germans are preferred for hard-work jobs.

The authors develop the discrimination decomposition index to measure the proportion of the two kinds of discrimination (statistical and taste-based) over the total one and apply a probit model to test the statistical significance of the difference in treatment between the three groups of natives, first-generation and second-generation immigrants.

The purpose of this paper is to provide evidence of the effect of labour market status on the current probability to be invited to a hiring interview. The authors compare the effect of periods of unemployment, part-time job and short-term contracts (STCs).

Correspondence tests were conducted for accountants and sales assistants. The authors estimate the discrimination components from the response rate of each candidate by the asymptotic least squares method.

The authors find that men with a part-time profile suffer discrimination in both professions. Other differences of treatment are specific: for accountants, the authors find that the probability of success decreases with the time spent in unemployment, while for sales assistants the probability of success is smaller with a history of STCs.

This study compares the effect of different dimensions of career history (part-time versus full-time, permanent versus short-term, unemployment versus employment) for experienced job candidates. It also proposes an alternative way to exploit the design of a correspondence experiment.

This paper analyzes the age pay gap in Italy (22%), particularly as it is of interest in an aging society and as it may affect social cohesion. Instead of the traditional approach for model selection, we use a machine-learning approach (post double robust Least Absolute Shrinkage Operator [LASSO]). This approach allows us to reduce Omitted Variable Bias (OVB), given data restrictions, and to obtain a robust estimate of the conditional age pay gap. We then decompose the conditional gap and analyze the impact of four further potential sources of heterogeneity (workers', sectors', and occupations' permanent heterogeneity as well as sample selection bias). The results suggest that age discrimination in pay is only perceived but not real in Italy for both men and women.

The purpose of this paper is to study the association between firm size and hiring discrimination against women, ethnic minorities and older job candidates.

The authors merge field experimental measures on unequal treatment with firm-level data. The resulting data enable the authors to assess whether discrimination varies by indicators of firm size, keeping other firm characteristics constant.

In contrast with the theoretical expectations, the authors find no evidence for an association between firm size and hiring discrimination. On the other hand, the authors do find suggestive evidence for hiring discrimination being lower in respect of public or non-profit firms (compared to commercial firms).

To effectively combat hiring discrimination, one needs to understand its driving factors. In other words, to design adequate policy actions, targeted to the right employers in the right way, one has to gain insight into when individuals are discriminated in particular, i.e. into the moderators of labour market discrimination. In this study, the authors focus on firm size as a moderator of hiring discrimination.

Former contributions investigated this association within the context of ethnic discrimination only and included hardly any controls for other firm-level drivers of discrimination. The authors are the first to study the heterogeneity in discrimination by firm size with respect to multiple discrimination grounds and control for additional firm characteristics.

The purpose of this paper is to explore the mechanisms underlying hiring discrimination against transgender men.

The authors conduct a scenario experiment with final-year business students in which fictitious hiring decisions are made about transgender or cisgender male job candidates. More importantly, these candidates are scored on statements related to theoretical reasons for hiring discrimination given in the literature. The resulting data are analysed using a bivariate analysis. Additionally, a multiple mediation model is run.

Suggestive evidence is found for co-worker and customer taste-based discrimination, but not for employer taste-based discrimination. In addition, results show that transgender men are perceived as being in worse health, being more autonomous and assertive, and have a lower probability to go on parental leave, compared with cisgender men, revealing evidence for (positive and negative) statistical discrimination.

Targeted policy measures are needed given the substantial labour market discrimination against transgender individuals measured in former studies. However, to combat this discrimination effectively, one needs to understand its underlying mechanisms. This study provides the first comprehensive exploration of these mechanisms.

This study innovates in being one of the first to explore the relative empirical importance of dominant (theoretical) explanations for hiring discrimination against transgender men. Thereby, the authors take the logical next step in the literature on labour market discrimination against transgender individuals.