Identification and estimation with contaminated data: when do covariate data sharpen inference?

DOI10.1016/J.JECONOM.2004.11.002zbMath1337.62011OpenAlexW2091547609MaRDI QIDQ274890

Charles H. Mullin

Publication date: 25 April 2016

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jeconom.2004.11.002

zbMATH Keywords

identificationboundsrobust estimationcontaminated samplingcorrupted sampling

Mathematics Subject Classification ID

Cites Work

• Some asymptotic theory for the bootstrap
• Bounding Causal Effects Using Data from a Contaminated Natural Experiment: Analysing the Effects of Teenage Childbearing
• Nonparametric Maximum Likelihood Estimation From Samples With Irrelevant Data and Verification Bias
• Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data
• Identification and Robustness with Contaminated and Corrupted Data
• Regressions, Short and Long

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