Censoring of Outcomes and Regressors Due To Survey Nonresponse: Identification and Estimation Using Weights and Imputations

Joel L. Horowitz () and Charles Manski ()

Abstract: Survey nonresponse makes identification of population statistics problematic. Except in special cases, identification is possible only if one makes untestable assumptions about the distribution of the missing data. However, non-response does not preclude identification of bounds on population statistics. This paper shows how identified bounds on unidentified population statistics can be obtained under several forms of nonresponse. Organizations conducting major surveys commonly release public-use data files that provide nonresponse weights or imputations to be used for estimating population statistics. The paper shows how to bound the asymptotic bias of estimates using weights and imputations. The results are illustrated with empirical examples based on the National Longitudinal Survey of Youth.

JEL-codes: C1 C2 C3 C4 C5 C8 (search for similar items in EconPapers)
Date: Written 1996-02-28
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Related works:
Working Paper: Censoring of Outcomes and Regressors Due to Survey Nonresponse: Identification and Estimation Using Weights and Imputations (1995)
Working Paper: Censoring of Outcomes and Regressors Due to Survey Nonresponse: Identification and estimation Using Weights and Imputations (1995)
Journal Article: Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations (1998)
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Persistent link: http://EconPapers.repec.org/RePEc:wpa:wuwpem:9602007

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