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Discrimination in the laboratory: a meta-analysis

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  • Tom Lane

    () (School of Economics, University of Nottingham)

Abstract

Economists are increasingly using experiments to study and measure discrimination between groups. In a meta-analysis containing 447 results from 77 studies, we find groups significantly discriminate against each other in roughly a third of cases. Discrimination varies depending upon the type of group identity being studied: it is stronger when identity is artificially induced in the laboratory than when the subject pool is divided by ethnicity or nationality, and higher still when participants are split into socially or geographically distinct groups. In gender discrimination experiments, there is significant favouritism towards the opposite gender. There is evidence for both taste-based and statistical discrimination; tastes seem to drive the relatively strong discrimination with artificial identity, while statistical motivations moderate it. Relative to all other decision-making contexts, discrimination is much stronger when participants are asked to allocate payoffs between passive ingroup and out-group members. Students and non-students appear to discriminate equally. We discuss possible interpretations and implications of our findings.

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  • Tom Lane, 2015. "Discrimination in the laboratory: a meta-analysis," Discussion Papers 2015-03, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
  • Handle: RePEc:not:notcdx:2015-03
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    Cited by:

    1. Barr, Abigail & Lane, Tom & Nosenzo, Daniele, 2018. "On the social inappropriateness of discrimination," Journal of Public Economics, Elsevier, vol. 164(C), pages 153-164.
    2. Dasgupta, Utteeyo & Mani, Subha & Singh, Prakarsh, 2016. "Searching for Religious Discrimination among Anganwadi Workers in India: An Experimental Investigation," IZA Discussion Papers 10048, Institute of Labor Economics (IZA).
    3. Grimm, Stefan & Klimm, Felix, 2018. "Blaming the Refugees? Experimental Evidence on Responsibility Attribution," Discussion Papers in Economics 42657, University of Munich, Department of Economics.
    4. Islam, Asadul & Pakrashi, Debayan & Wang, Liang Choon & Zenou, Yves, 2018. "Determining the Extent of Statistical Discrimination: Evidence from a field experiment in India," CEPR Discussion Papers 12955, C.E.P.R. Discussion Papers.
    5. repec:spr:izalbr:v:7:y:2018:i:1:d:10.1186_s40172-018-0071-x is not listed on IDEAS
    6. Chiara Ravetti & Mare Sarr & Tim Swanson & Daniel Munene, 2017. "Discrimination and favouritism among workers: union membership and ethnic identity," CIES Research Paper series 57-2017, Centre for International Environmental Studies, The Graduate Institute.

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