Search results
Results: 6
Number of items: 6
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Frazier, D. T., Renault, E., Zhang, L., & Zhao, X. (2025). Weak Identification in Discrete Choice Models. Journal of Econometrics, 248, Article 105866. https://doi.org/10.1016/j.jeconom.2024.105866 -
Tommasi, D., & Zhang, L. (2024). Identifying program benefits when participation is misreported. Journal of Applied Econometrics, 39(6), 1123-1148. https://doi.org/10.1002/jae.3079
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Tommasi, D., & Zhang, L. (2024). Bounding Program Benefits When Participation Is Misreported. Journal of Econometrics, 238(1), Article 105556. https://doi.org/10.1016/j.jeconom.2023.105556
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Baum, C. F., Tommasi, D., & Zhang, L. (2024). Estimating treatment effects when program participation is misreported. The STATA Journal, 24(4), 614-629. https://doi.org/10.1177/1536867X241297916
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Lin, A., Tommasi, D., & Zhang, L. (2024). Bounding program benefits when participation is misreported: Estimation and inference with Stata. The STATA Journal, 24(2), 185-212. https://doi.org/10.1177/1536867X241257347
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Zhang, L., Frazier, D. T., Poskitt, D. S., & Zhao, X. (2021). Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects. (v2 ed.) ArXiv. https://doi.org/10.48550/arXiv.2009.02642
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