1 Department of Psychology, University of California, Berkeley.
2 Department of Econometrics and Business Statistics, Monash University.
Psychol Sci. 2019 Feb;30(2):205-222. doi: 10.1177/0956797618815441. Epub 2019 Jan 11.
Several theories predict that income inequality may produce increased racial bias, but robust tests of this hypothesis are lacking. We examined this relationship at the U.S. state level from 2004 to 2015 using Internal Revenue Service-based income-inequality statistics and two large-scale racial-bias data sources: Project Implicit ( N = 1,554,109) and Google Trends. Using a multimethod approach, we found evidence of a significant positive within-state association between income inequality and Whites' explicit racial bias. However, the effect was small, with income inequality accounting for 0.4% to 0.7% of within-state variation in racial bias, and was also contingent on model specification, with results dependent on the measure of income inequality used. We found no conclusive evidence linking income inequality to implicit racial bias or racially offensive Google searches. Overall, our findings admit multiple interpretations, but we discuss why statistically small effects of income inequality on explicit racial bias may nonetheless be socially meaningful.
有几种理论预测,收入不平等可能会导致种族偏见加剧,但目前缺乏对此假设的有力检验。我们使用美国国税局(Internal Revenue Service)基于收入不平等的统计数据和两个大规模的种族偏见数据源:内隐联想测试(Project Implicit,N=1,554,109)和谷歌趋势(Google Trends),从 2004 年到 2015 年在美国各州层面上检验了这种关系。我们采用多方法的方法,发现了收入不平等与白人明确种族偏见之间存在显著正相关的证据。然而,这种影响很小,收入不平等仅解释了种族偏见在各州内差异的 0.4%至 0.7%,而且还取决于模型的具体情况,结果取决于所使用的收入不平等衡量标准。我们没有发现确凿的证据表明收入不平等与隐性种族偏见或种族冒犯性谷歌搜索有关。总的来说,我们的发现存在多种解释,但我们讨论了为什么收入不平等对明确种族偏见的统计学上的小影响仍然具有社会意义。