Multiple Imputation of Industry and Occupation Codes in Census Public-use Samples Using Bayesian Logistic Regression
用贝叶斯逻辑回归多重插补人口普查行业与职业编码
We describe methods used to create a new Census data base that can be used to study comparability of industry and occupation classification systems. This project represents the most extensive application of multiple imputation to date, and the modeling effort was considerable as well—hundreds of logistic regressions were estimated. One goal of this article is to summarize the strategies used in the project so that researchers can better understand how the new data bases were…