Measuring Ethnic Bias: Can Misattribution-Based Tools from Social Psychology Reveal Group Biases that Economics Games Cannot?
| Autor: | Chad Hazlett, Daniel N. Posner, Ashley Blum |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Social psychology (sociology)
behavioral games misattribution Sociology and Political Science conflict Political Science Ethnic group Political Science & Public Administration Clinical Research ethnic bias Behavioral and Social Science 0502 economics and business 050602 political science & public administration Misattribution of memory 050207 economics ethnic preference Set (psychology) experimental economics 05 social sciences Contrast (statistics) social psychology Public good Experimental economics 0506 political science Mental Health economics games Political Science and International Relations Dictator Social psychology |
| Zdroj: | Political Analysis, vol 29, iss 3 |
| ISSN: | 1476-4989 1047-1987 |
| DOI: | 10.1017/pan.2020.37 |
| Popis: | Economics games such as the Dictator and Public Goods Games have been widely used to measure ethnic bias in political science and economics. Yet these tools may fail to measure bias as intended because they are vulnerable to self-presentational concerns and/or fail to capture bias rooted in more automatic associative and affective reactions. We examine a set of misattribution-based approaches, adapted from social psychology, that may sidestep these concerns. Participants in Nairobi, Kenya completed a series of common economics games alongside versions of these misattribution tasks adapted for this setting, each designed to detect bias toward noncoethnics relative to coethnics. Several of the misattribution tasks show clear evidence of (expected) bias, arguably reflecting differences in positive/negative affect and heightened threat perception toward noncoethnics. The Dictator and Public Goods Games, by contrast, are unable to detect any bias in behavior toward noncoethnics versus coethnics. We conclude that researchers of ethnic and other biases may benefit from including misattribution-based procedures in their tool kits to widen the set of biases to which their investigations are sensitive. |
| Databáze: | OpenAIRE |
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