Adding race and ethnicity to microeconomic databases: An assessment of alternative options
评估了将种族和族裔数据合并到微观经济数据库的三种方法（抵押贷款披露数据、选民登记文件、基于姓名的预测算法），发现不同方法在不同地区和群体中的代表性不同，且可能影响对种族差异的研究结论。
Abstract Estimating differences between racial/ethnic groups often requires merging demographic variables from one dataset to variables of interest in another. A common method merges Home Mortgage Disclosure Act data to property databases. One alternative is to acquire this information from voter registration files; another is to predict race with a name‐based algorithm. Compared to Census data, which method is more representative varies by location and group. We explore the practical implications of each method by using the matched samples in two empirical applications. Researchers can arrive at different conclusions about racial/ethnic disparities depending on the method selected.