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

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  • Mullin, Charles H.

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  • Mullin, Charles H., 2006. "Identification and estimation with contaminated data: When do covariate data sharpen inference?," Journal of Econometrics, Elsevier, vol. 130(2), pages 253-272, February.
    • Handle: RePEc:eee:econom:v:130:y:2006:i:2:p:253-272
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    References listed on IDEAS

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    1. Horowitz, Joel L & Manski, Charles F, 1995. "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, Econometric Society, vol. 63(2), pages 281-302, March.
    2. V. Joseph Hotz & Charles H. Mullin & Seth G. Sanders, 1997. "Bounding Causal Effects Using Data from a Contaminated Natural Experiment: Analysing the Effects of Teenage Childbearing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 575-603.
    3. Philip J. Cross & Charles F. Manski, 2002. "Regressions, Short and Long," Econometrica, Econometric Society, vol. 70(1), pages 357-368, January.
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