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The purpose of this paper is to explore how both gender and facial attractiveness affect job candidates’ chances of obtaining interviews in China’s dynamic internet job board labor market. It examines how discrimination based on these attributes varies over occupation, location, and firms’ ownership type and size.

The authors carry out a resume audit (correspondence) study. Resumes of fictitious applicants are first carefully crafted to make candidates appear equally productive in terms of their work histories and educational backgrounds. The authors control gender and facial attractiveness. The authors establish the facial attractiveness of candidate photos via an online survey. In total, 24,192 applications are submitted to 12,096 job postings across four occupations in six Chinese cities. Callbacks are carefully tracked and recorded. Discrimination is estimated by calculating the differences in the rates of callbacks for interviews received by individuals whose applications vary only in terms of facial attractiveness and gender. The authors reuse the same resumes repeatedly through this project such that names and photos of each of the candidates: attractive man, attractive woman, unattractive man, and unattractive woman is attached to each resume hundreds of times for each occupation in each city.

The authors find sizable differences in the interview callback rates of attractive and unattractive job candidates. Job candidates with unattractive faces need to put in 33 percent more applications than their attractive counterparts to obtain the same number of interview callbacks. Women are preferred to men in three of the four occupations. Women, on average need put in only 91 percent as many applications as men to obtain the same number of interview callbacks.

The analysis of this paper focusses on only four different occupations. Its scope is also limited to exploring only the first part of the hiring process – obtaining a job interview. Furthermore, its fictitious applicants are all young people, approximately 25 years old. It would be useful to explore how gender and facial attractiveness affect candidates’ chances of landing a job after getting an interview.

This paper contributes to and expands the literature on hiring through China’s internet job boards. It also contributes to the literature on the role of facial attractiveness in hiring.

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.

This paper tests whether employers responded particularly negatively to African American job applicants during the deep U.S. recession that began in 2007. Theories of labor queuing and social closure posit that members of privileged groups will act to minimize labor market competition in times of economic turbulence, which could advantage Whites relative to African Americans. Although social closure should be weakest in the less desirable, low-wage job market, it may extend downward during recessions, pushing minority groups further down the labor queue and exacerbating racial inequalities in hiring. We consider two complementary data sources: (1) a field experiment with a randomized block design and (2) the nationally representative NLSY97 sample. Contrary to expectations, both analyses reveal a comparable recession-based decline in job prospects for White and African American male applicants, implying that hiring managers did not adapt new forms of social closure and demonstrating the durability of inequality even in times of structural change. Despite this proportionate drop, however, the recession left African Americans in an extremely disadvantaged position. Whites during the recession obtained favorable responses from employers at rates similar to African Americans prior to the recession. The combination of experimental methods and nationally representative longitudinal data yields strong evidence on how race and recession affect job prospects in the low-wage labor market.

The purpose of this paper is to explore whether single and married female job candidates’ un/employment histories differentially affect their chances of obtaining interviews through China’s internet job boards, and to consider whether firms’ discrimination against, and/or preference for, candidates who are un/employed vary with the duration of unemployment spells.

Resumes of fictitious applicants are carefully crafted in terms of realistic work histories and educational backgrounds. Candidates’ experiences of unemployment and the revelation of their marital status are controlled. Over 7,000 applications are submitted to real job postings. Callbacks are carefully tracked and recorded. Linear probability models are employed to assess the roles of particular characteristics.

The marital status of female candidates affects how recruiters screen their applications. While current spells of unemployment, whether short or long term, significantly reduce married women’s chances of obtaining job interviews in the Chinese context, they strongly increase the likelihood that single women will be invited for interviews. Chinese firms appear to “forgive” long-term gaps in women’s employment histories as long as those gaps are followed by subsequent employment.

This paper is the first to explore how marital status affects the ways that firms, when hiring, interpret spells of unemployment in candidates’ work histories. It is also the first to explore the effects of both marital status and unemployment spells in hiring in the context of China’s dynamic internet job board labor market.

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.

The purpose of this paper is to assess field experiments of labour and product markets that have attached photos to identify applicants (in the case of labour markets) or sellers/crowd funders (in the case of product markets).

The experiments seek to identify the contribution of attractiveness, race/ethnicity, skin colour, sexual orientation or religion to the behaviour of agents in markets. These experiments attach photos to CV to signal attractiveness, or the basis of being tested such as race/ethnicity, skin colour or religion.

Many experiments report significant findings for the impact of attractiveness or the identity revealed on positive callbacks to applicants.

The issue considered here, however, is to what extent it is attractiveness or other perceived characteristics that may have had an impact on the behaviour recorded in the experiments. The results of the studies covered in this paper, to a lesser extent those of Weichselbaumer (2004) and Baert (2017), are compromised by including photos, with the possibility the responses received were influenced not only by the basis being tested such as attractiveness, race/ethnicity or religion but by some other characteristic unintended by the researcher but conveyed by the photo.

There is evidence in the experimental work of a range of characteristics that photos convey of individuals and their impact on labour and product market outcomes such as success in obtaining a positive response to job applications and success in obtaining funding to finance projects in the product market. Suggestions are made for future experiments: evaluation of photos for a range of characteristics; use of a “no photo” application together with the photo applications; and evaluation of responses for any bias from unobservable characteristics using Neumark (2012).

This paper discusses for the first time three questions with some tentative answers. First, the researcher faces introducing further unobservable characteristics by using photos. Second, the researcher cannot fully control the experimental approach when using photos. Third, the researcher is able to accurately evaluate the impact of the photos used on the response/probability of call back. Field experiments using photos need to ensure they do this for the range of factors that have been shown to affect judgments and therefore potentially influence call back response. However, the issue remains whether the researcher has, in fact, identified all potential characteristics conveyed by the photos.

The purpose of this paper is to investigate whether there is unequal treatment in hiring depending on whether a job applicant signals living in a bad (deprived) neighborhood or in a good (affluent) neighborhood.

The authors conducted a field experiment where fictitious job applications were sent to employers with an advertised vacancy. Each job application was randomly assigned a residential address in either a bad or a good neighborhood. The measured outcome is the fraction of invitations for a job interview (the callback rate).

The authors find no evidence of general neighborhood signaling effects. However, job applicants with a foreign background have callback rates that are 42 percent lower if they signal living in a bad neighborhood rather than in a good neighborhood. In addition, the authors find that applicants with commuting times longer than 90 minutes have lower callback rates, and this is unrelated to the neighborhood signaling effect.

Empirical evidence of causal neighborhood effects on labor market outcomes is scant, and causal evidence on the mechanisms involved is even more scant. The paper provides such evidence.

The main goal of this paper is to test whether older Hungarian women face age discrimination in the job market. The theoretical framework of this paper measures the level of discrimination and highlights that age discrimination leads to a waste of human resources.

Two pairs of fictitious CVs were created; each pair included a younger (34 years old) and an older woman (60 years old) with an age difference of 26 years. One pair was designed for office assistant positions, the other for economic analyst positions. The contents of the CVs with photos were entirely fabricated except for active email addresses and phone numbers to allow responses to be tracked. LinkedIn accounts were also created for the analysts. Applications were sent over a four-month period from November 2019. The rate of invitation to interviews was analysed with mathematical statistical methods and a small probability model.

The younger job seekers were invited to interviews about 2.2 times more often than the older ones. Based on the authors’ probability model, employers evaluate the skills of older applicants at only 45–67% of their actual skills.

The experiment had to be stopped due to the Covid-19 lockdown as there were no new job postings.

The experiment demonstrates that age discrimination exists in Hungary. In addition to traditional audit job applications through HR portals, we used LinkedIn too. The small probability model applies an old framework in a new environment.

There is substantial evidence of discrimination at work across countries and powerful evidence that antidiscrimination laws can make a difference. This study examines the extent of protections from discrimination at work in countries around the world and which groups were best covered.

This study assesses legal protections in hiring, pay, promotions/demotions, terminations and harassment for 13 different groups across 193 countries using a database the authors created based on analysis of labor codes, antidiscrimination legislation, equal opportunity legislation and penal codes. Differences in levels of protection were examined across social groups and areas of work, as well as by country income level using Chi-square tests.

Protection from gender and racial/ethnic discrimination at work was the most common, and protection across migrant status, foreign national origin, sexual orientation and gender identity was among the least. For all groups, discrimination was more often prohibited in hiring than in promotion/demotion. There was inconsistent protection from harassment and retaliation.

Addressing discrimination at work will require a broad range of synergistic approaches including guaranteeing equal legal rights, implementation and enforcement of laws and norm change. This study highlights where legislative progress has been made and where major gaps remain.

This article presents findings from an original database containing the first data on laws to prevent discrimination in the workplace in all 193 countries around the world. The study analyzes legal protections for a wide range of groups and considers a full range of workplace protections.

This chapter reviews the historical and political context of immigration to Norway, patterns of ethnic inequality in the labour market, as well as how ethnic discrimination has been legislated, publically debated and studied in the Norwegian context. Drawing on the findings of a multimethod study of discrimination in the Norwegian labour market, combining a field experiment with employer-interviews, the chapter furthermore clarifies the extent of discrimination in ethnic minority applicants’ access to the labour market and discusses what mechanisms influence the level of ethnic discrimination ‘at work’. The field experiment reveals that young Norwegians of Pakistani heritage – the by far largest group among immigrant descendants in the country – face substantial discrimination when applying for work. However, it also demonstrates striking differences in the scope of discrimination between the public and the private sector, as well as across occupational contexts, indicating that discrimination should not be seen as mere reflections of individual bias, ethnic preferences or statistical uncertainty, but rather that such individual-level dispositions are mediated through factors at the organizational level. This conclusion has important implications for our theoretical understanding of why discrimination occurs, as well as for the further development of anti-discrimination measures.