CENSORING OF OUTCOMES AND REGRESSORS DUE TO SURVEY NONRESPONSE - IDENTIFICATION AND ESTIMATION USING WEIGHTS AND IMPUTATIONS

Survey nonresponse makes identification of population parameters probl ematic. Except in special cases, identification is possible only if on e makes untestable assumptions about the distribution of the missing d ata. However, nonresponse does not preclude identification of bounds o n parameters. This paper shows how identified bounds on unidentified p opulation parameters can be obtained under several forms of nonrespons e. Organizations conducting major surveys commonly release public-use data files that provide nonresponse weights or imputations to be used for estimating population parameters. The paper shows how to bound the asymptotic bias of estimates using weights and imputations. The resul ts are illustrated with empirical examples based on the National Longi tudinal Survey of Youth. (C) 1998 Elsevier Science S.A.