Villarreal Andrés, Bailey Stanley R
University of Maryland-College Park.
University of California, Irvine.
Soc Forces. 2020 Jun;98(4):1744-1772. doi: 10.1093/sf/soz096. Epub 2019 Jul 10.
A growing body of sociological research has shown that racial identification is not only fluid, but crucially depends on other individual- and societal-level factors. When such factors are also associated with socioeconomic outcomes such as earnings, estimates of the disadvantage experienced by individuals because of how they identify racially obtained from standard regression models may be biased. We illustrate this potential bias using data from a large-scale survey conducted by the Mexican census bureau. This survey is the first by the government agency since the country's independence to include a question on black identification. We find evidence of a substantial bias in estimates of racial disadvantage. Results from our initial models treating racial self-identification as an exogenous predictor indicate that black men have higher earnings than non-black men. However, when we use an instrumental variables model that treats racial self-identification as endogenous, that is, as a function of the same unobserved characteristics as individuals' earnings, we find a significant effect of black identification on earnings. While previous studies have acknowledged the endogeneity of race, ours is the first to explicitly model racial self-identification as an endogenous predictor to obtain an unbiased estimate of its effect on individuals' socioeconomic conditions.
越来越多的社会学研究表明,种族认同不仅是可变的,而且在很大程度上取决于其他个人层面和社会层面的因素。当这些因素也与诸如收入等社会经济结果相关联时,从标准回归模型中得出的、因个人的种族认同方式而遭受的劣势估计可能存在偏差。我们使用墨西哥人口普查局进行的一项大规模调查数据来说明这种潜在偏差。该调查是该国独立以来政府机构首次包含关于黑人认同问题的调查。我们发现了种族劣势估计存在重大偏差的证据。我们最初将种族自我认同视为外生预测变量的模型结果表明,黑人男性的收入高于非黑人男性。然而,当我们使用将种族自我认同视为内生变量的工具变量模型时,也就是说,将其视为与个人收入具有相同未观察到特征的函数时,我们发现黑人认同对收入有显著影响。虽然先前的研究已经认识到种族的内生性,但我们的研究是第一个明确将种族自我认同建模为内生预测变量,以获得其对个人社会经济状况影响的无偏估计的研究。