arXiv 12 Oct 2021 · Econometrics · publishedOxford Bulletin of Economics and Statistics (2023) · 3 citations (OpenAlex)
arXiv:2110.06285 · PDF · DOI · OpenAlex · Extracted main text
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 different sets of nonparametric assumptions. The identification results are illustrated in identifying the marginal treatment effects of food stamps on health.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Brinch, C.N. , M. Mogstad and M. Wiswall (2017) "Beyond $LATE$ with a Discrete Instrument." | 1.000 | 6 | 3 | 100% |
| 2 | Kreider, B., J.V. Pepper, C. Gundersen and D. Jolliffe (2012) "Identifying the Effects of SNAP(Food Stamps) on Child Health Outcomes When Participation is Endogenous and Misreported." | 0.974 | 13 | 4 | 92% |
| 3 | Acerenza, S., K. Ban and D. Kédagni (2021) "Marginal Treatment effects with misclassified treatment." self | 0.965 | 10 | 5 | 90% |
| 4 | Mogstad, M., A. Santos and A. Torgovitsky (2018) "Using Instrumental Variables For Inference About Policy Relevant Treatment Parameters." | 0.923 | 14 | 4 | 79% |
| 5 | Heckman, J.J., S. Urzua and E. Vytlacil (2006) "Understanding Instrumental Variables in models with essential heterogeneity." | 0.811 | 4 | 2 | 100% |
| 6 | Kim, W., K. Kwon, S. Kwon and S. Lee (2018) "The identification power of smoothness assumptions in models with counterfactual outcomes." | 0.737 | 4 | 2 | 75% |
| 7 | Tommasi, D and L. Zhang (2020) "Bounding Program Benefits When Participation Is Misreported." | 0.737 | 3 | 2 | 100% |
| 8 | Ura, T (2018) "Heterogeneous treatment effects with mismeasured endogenous treatment." | 0.693 | 7 | 1 | 100% |
| 9 | Earnshaw, V. and A. Karpyn (2020) "Understanding stigma and food inequity: a conceptual framework to inform research, intervention, and policy." | 0.644 | 2 | 2 | 100% |
| 10 | Hernandez, M. and S. Pudney (2007) "Measurement error in models of welfare participation." | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 28 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Local Average and Marginal Treatment Effects with a Misclassified Treatment | 0.405 | 1 | 1 |