Now showing items 1-3 of 3

    • IDENTIFICATION AND INFERENCE ON REGRESSIONS WITH MISSING COVARIATE DATA 

      Aucejo, EM; Bugni, FA; Hotz, VJ (Econometric Theory, 2017-02)
      <jats:p>This paper examines the problem of identification and inference on a conditional moment condition model with missing data, with special focus on the case when the conditioning covariates are missing. We impose no ...
    • Modeling Missing Data In Panel Studies With Multiple Refreshment Samples 

      Deng, Yiting (2012)
      Most panel surveys are subject to missing data problems caused by panel attrition. The Additive Non-ignorable (AN) model proposed by Hirano et al. (2001) utilizes refreshment samples in panel surveys to impute missing data, ...
    • Multiple Imputation Inferences for Count Data 

      Liu, Bo (2021)
      Multiple imputation is frequently used for inference with missing data. In cases when the population quantity of interest is desired to be an integer, the original methods for inference need to be modified, as the point ...