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Partial Identification of Marginal Treatment Effects with Discrete Instruments and Misreported Treatment*

Santiago Acerenza

Oxford Bulletin of Economics and Statistics, 2024, vol. 86, issue 1, 74-100

Abstract: This paper provides partial identification results for the marginal treatment effect (MTE) when the binary treatment variable is potentially misreported and the instrumental variable is discrete. Identification results are derived under smoothness assumptions. Bounds for both the case of misreported treatment and the case of no misreported treatment are derived. The identification results are illustrated by identifying the marginal treatment effects of food stamps on health.

Date: 2024
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https://doi.org/10.1111/obes.12581

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Working Paper: Partial Identification of Marginal Treatment Effects with discrete instruments and misreported treatment (2023) Downloads
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Oxford Bulletin of Economics and Statistics is currently edited by Christopher Adam, Anindya Banerjee, Christopher Bowdler, David Hendry, Adriaan Kalwij, John Knight and Jonathan Temple

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