Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations
From MaRDI portal
Publication:1379914
DOI10.1016/S0304-4076(97)00077-8zbMath0913.62119OpenAlexW3124349475MaRDI QIDQ1379914
Joel L. Horowitz, Charles F. Manski
Publication date: 26 May 1999
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0304-4076(97)00077-8
Related Items (17)
Using missing types to improve partial identification with application to a study of HIV prevalence in Malawi ⋮ Identification and estimation of statistical functionals using incomplete data ⋮ Nonresponse in dynamic panel data models ⋮ Partial identification of probability distributions with misclassified data ⋮ A test of non-identifying restrictions and confidence regions for partially identified parameters ⋮ Partial identification with missing data: concepts and findings ⋮ IDENTIFICATION AND INFERENCE ON REGRESSIONS WITH MISSING COVARIATE DATA ⋮ Multiple Imputation forM-Regression With Censored Covariates ⋮ EL inference for partially identified models: large deviations optimality and bootstrap validity ⋮ Propensity score matching without conditional independence assumption—with an application to the gender wage gap in the United Kingdom ⋮ Credible interval estimates for official statistics with survey nonresponse ⋮ Likelihood-based confidence sets for partially identified parameters ⋮ Worst-case estimation for econometric models with unobservable components ⋮ The common structure of several models for non-ignorable dropout ⋮ POINT DECISIONS FOR INTERVAL–IDENTIFIED PARAMETERS ⋮ Treatment choice under ambiguity induced by inferential problems ⋮ Exact credal treatment of missing data
Cites Work
This page was built for publication: Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations