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Abstract

Consider hiring managers who care not just about productivity but also some other, unrelated characteristic. If they treat that ascriptive characteristic differently across groups by, for example, valuing beauty more for women than men, then the hired women will be better looking but less productive, on average. This taste-based discrimination, focused entirely on an ascriptive characteristic, can lead to productivity-based statistical discrimination by the firm’s subsequent hiring managers who observe from their workforce that women tend to produce less. This identifies a new channel behind statistical discrimination that arises from the behavior of prior hiring managers.

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... There are two main explanations for discrimination based on the beauty premium: taste-based and statistical discriminations (Neilson and Ying 2016). Taste-based discrimination refers to the tendency of employers to discriminate against certain groups of people regardless of their productivity (Becker 1957). ...
... On the other hand, in statistical discrimination employers are posited to assess productivity based on limited information, and therefore rely on physically attractiveness. Physically attractive people are often believed to be more confident, have more pleasing personalities and more likely to be successful in their careers (Dipboye, Arvey, and Terpstra 1977;Miller 1988;Mobius and Rosenblat 2006;Neilson and Ying 2016). ...
Article
The presence of a beauty premium in the labor market has been convincingly demonstrated in developed countries, although studies examining this issue in other countries have been few. Additionally, two related issues remain unclear: (i) Does the beauty premium have the same effect on the preferences of male and female personnel in charge of hiring? (ii) Does the interaction of attractiveness with creativity influence their evaluation differently? This study investigates the issues above in the context of a non-western country. A field experiment was conducted and the data were analyzed using regressions to test the interaction of the three factors (attractiveness, creativity and gender). We found that in common with findings elsewhere beauty is still used to decide who to hire, when no additional information is available, regardless of the gender of the hiring personnel. However, when information on creativity becomes available, male hirers give priority to it while female hirers continue to emphasize good looks. The reasons for this difference and whether or not this finding is unique to Malaysia are worth investigating in future studies.
... The current paper contributes to the literature that theoretically models the beauty premium. A study that is closely related to ours is Neilson and Ying (2016). They provide a theoretical model with a hiring manager showing discrimination in regard to physical appearance differently between genders, and valuing beauty more for women than men. ...
... 1994 ;Harper, 2000;Borland and Leigh, 2014). One explanation can be that employers' marginal rate of substitution between ability and beauty, or their minimum beauty threshold, differs for the two groups (Neilson and Ying, 2016). Another explanation is women's self-selection on labor participation decisions: more attractive women may be more likely to work because they are usually more confident (Mocan and Tekin, 2010), and bad-looking women are more likely to avoid the labor market due to plainness penalty (Hamermesh, 2011). ...
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Using a nationwide representative sample of the Chinese population, we examine the effect of physical appearance on the hourly wage. Our theoretical framework that connects physical appearance and the hourly wage has two predictions. First, the beauty premium is larger for high-skilled workers than for low-skilled workers. Second, this statistical-based discrimination arises from the hiring manager’s belief that beauty contributes to productivity through non-cognitive skills. Empirical results confirm both predictions. Good-looking individuals earn roughly 5.4% more than the rest, and bad-looking individuals earn roughly 3.3% less than the rest. Moreover, quantile estimates show that the effect of physical appearance at the 0.75 quantile is more than twice as the one at the 0.25 quantile. Finally, social skills, communication skills, and self-confidence are three transmission channels through which physical appearance can positively affect one’s hourly wage in our sample. Our findings imply that the beauty premium is widespread in the labor market and relevant anti-discrimination regulations are needed.
... It focuses on observable behaviour (Quillian 2006) which can be motivated by various factors, including prejudice, stereotypes, ideologies, or economic considerations, without presuming a singular underlying cause. Contemporary manifestations of discrimination often take subtle and covert forms due to significant shifts in social norms (Chang et al. 2019), posing challenges in conceptualizing and measuring it in the social sciences (Pager and Shepherd 2008). 2 In the economics literature, discrimination is categorized into taste-based and statistical discrimination (Neilson and Ying 2016). Taste-based discrimination emphasizes prejudice or racial animosity as driving forces (Rivera and Tilcsik 2016). ...
... The role of discrimination against women has been well-documented in the literature. Neilson and Ying (2016) wrote about 'taste discrimination'. This concept refers to people's preferences to work with others who are most similar to themselves. ...
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This chapter asks how barriers to equal participation in adult education play out differently between (a) men and women and (b) women from different class and ethnic backgrounds. European Social Survey and Adult Education Survey data analyses confirm that low social origin is a significant barrier. Other socio-economic and socio-demographic characteristics can also act as barriers. The chapter draws attention to intersectionality: multiple simultaneous disadvantages, including gender (for women), social origin (for adults whose parents have basic or lower levels of education), and having an ethnic minority or migrant background. Women are less likely to receive financial support from their employer, though more likely to do so from public institutions. Ethnic minority status has a stronger negative effect for women than for men. Mediterranean and post-socialist welfare regimes reduce the effects of intersectionality less than social-democratic regimes.
... In statistical discrimination, employers can assess productivity based on limited information and rely on physical attractiveness. Physically attractiveness could be the determinant of resume evaluations and more likely to be successful in their careers (Mobius & Rosenblat, 2006;Neilson & Ying, 2016;Ch'ng & Narayamam, 2021). In the latter case, agents will place greater weight on information from the group that they are more familiar with or can associate with. ...
Article
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This study aims to estimate gender discrimination in the labour market by using fictitious job applicants, carrying gender identifiable names at the top of the curriculum vitae. Fictitious job applications were sent to genuine vacancies in Malaysia. An audit experiment was conducted on new graduate employment in a labour market with no legislation against discrimination. We recorded if there was a significant difference in call-back interview rates. We estimated the extra amount of applications females would need to make to obtain the same number of interview calls as males. Results show a female bias in call-backs was evident only in broader markets that traditionally offer female employment.
... Differential assumptions about how profitable or difficult prospective patients will be to treat may result in statistical discrimination (Arrow, 1973) if physicians rely on group stereotypes to form expectations about individuals. These types of discrimination can be difficult to separate, as taste-based discrimination may lead to statistical discrimination, and the two can occur simultaneously (Neilson and Ying, 2016). ...
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... To former for 'pre-entry' diskrimination forekommer. (1) Smags-eller praeferencediskrimination refererer til, at arbejdsgiveren frasorterer seniorer, fordi arbejdsgiveren har en personlig aversion eller uvilje mod at ansaette denne kategori af lønmodtagere (Becker, 1971;Neilson & Ying, 2016). (2) Statistisk diskrimination beskriver en situation, hvor kategorier af jobansøgere bliver fravalgt på basis af antagelser om gruppens gennemsnitlige produktivitet; dvs. ...
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I de senere år er der sket en markant ændring i seniorernes vilkår på arbejdsmarkedet. Antallet af beskæftigede seniorer er nærmest eksploderet. Beskæftigelsesfrekvensen blandt de 55-64-årige er steget fra 56 til 71 i perioden 2000 til 2018. Imidlertid ved vi meget lidt om, hvor på arbejdsmarkedet seniorerne har fundet beskæftigelse, hvorfor formålet med denne artikel er at analysere, hvad det er for type virksomheder (og brancher), der især er disponerede for at ansætte nye 55-64-årige medarbejdere. Det væsentligste fund er, at seniorer rekrutteres på virksomheder, hvor gennemsnitsalderen på arbejdspladsens ledelseslag er høj, men især på virksomheder hvor der i forvejen er mange seniorer ansatte. Ligeledes har virksomhedens størrelsen en betydning for, om der rekrutteres seniorer. Især store virksomheder er tilbøjelige til at trække seniorer ind i virksomheden.
... Hiring managers set different group-based thresholds of jobirrelevant characteristics (like ethnic accent), leading to lower ability estimations of minority members (i.e., taste-based discrimination). Statistical discrimination occurs when observed group differentials in productivity are mistakenly attributed to group identity (Neilson & Ying, 2016) Statistical discrimination theory Majority workers/employers disavow minority individuals because they consider minority groups as a whole less productive from an economic point of view. ...
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Resume screening is the first hurdle applicants typically face when they apply for a job. Despite the many empirical studies showing bias at the resume‐screening stage, fairness at this funnelling stage has not been reviewed systematically. In this paper, a three‐stage model of biased resume screening is presented. We first discuss relevant theoretical perspectives (e.g., job market signalling and impression formation theories) to explain why resume screening is vulnerable to biased decision‐making and ethnic discrimination in particular. On the basis of the best available evidence, we consider contingencies of ethnic discrimination in the applicant, the decision‐maker, and the broader context (e.g., organisation), as well as the effectiveness of interventions that might counter ethnic bias in resume screening. The paper ends with a critical agenda for further research and practice.
... Tastebased discrimination occurs when people consciously discriminate based on prior beliefs of the victim's group membership. Research has found that taste-based discrimination often leads to statistical discrimination where a manager may have an added standard of beauty for women that is not present for men which then creates an environment where men perform better than women (Neilson and Ying, 2016). Statistical discrimination can then be justified under this artificially created environment. ...
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Does our perception of corruption affect our interactions? This question was answered through an experimental survey of 90 participants and the Corruption Perception Index (CPI) from Transparency International’s 2017 Report. The survey revealed that those who were categorized as low-corrupt with an above average CPI exhibited altruism towards individuals from perceived high-corrupt regions but discriminated negatively against them when restrictions were placed on the interaction. In the experiment, participants were allowed to give any amount between zero and six dollars in both games. Altruism was measured through the dictator game and low-corrupt participants were found to give one dollar more, $3.60, to those perceived to be high-corrupt than they gave to participants who were perceived to be low-corrupt, $2.60. The ultimatum game was the measure for a restricted environment and low-corrupt participants gave sixty cents less, $2.80, to those perceived to be high-corrupt than they gave to participants perceived to be low-corrupt, $3.40. Other findings from the survey exhibited discriminatory behavior by categorized high-corrupt participants but were ultimately not statistically significant.
... His theory of statistical discrimination is based on the scarcity of information about workers and jobs, and the idea that group membership provides information about relevant perceived characteristics. Neilson and Ying (2016) explore how some practices of taste-based discrimination in the work place can ended up in statistical discrimination practices. For example, when employers hire women on taste-based characteristics, they can end up distorting information about the entire group. ...
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