Hector Galindo-Silva, Nibene Habib Some, Guy Tchuente
arXiv 16 Dec 2018 · Econometrics · 2 citations (OpenAlex)
arXiv:1812.06537 · PDF · DOI · OpenAlex · Extracted main text
This paper explores the use of a fuzzy regression discontinuity design where multiple treatments are applied at the threshold. The identification results show that, under the very strong assumption that the change in the probability of treatment at the cutoff is equal across treatments, a difference-in-discontinuities estimator identifies the treatment effect of interest. The point estimates of the treatment effect using a simple fuzzy difference-in-discontinuities design are biased if the change in the probability of a treatment applying at the cutoff differs across treatments. Modifications of the fuzzy difference-in-discontinuities approach that rely on milder assumptions are also proposed. Our results suggest caution is needed when applying before-and-after methods in the presence of fuzzy discontinuities. Using data from the National Health Interview Survey, we apply this new identification strategy to evaluate the causal effect of the Affordable Care Act (ACA) on older Americans' health care access and utilization.
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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 | Grembi, V., Nannicini, T. and Troiano, U (2016) Do fiscal rules matter? | 0.874 | 9 | 2 | 100% |
| 2 | Eggers, A. C., Freier, R., Grembi, V. and Nannicini, T (2018) Regression discontinuity designs based on population thresholds: Pitfalls and solutions | 0.874 | 6 | 2 | 100% |
| 3 | Card, D., Dobkin, C. and Maestas, N (2008) The impact of nearly universal insurance coverage on health care utilization: evidence from medicare | 0.874 | 5 | 2 | 100% |
| 4 | Hahn, J., Todd, P. and Van der Klaauw, W (2001) Identification and estimation of treatment effects with a regression-discontinuity design | 0.874 | 5 | 2 | 100% |
| 5 | Courtemanche, C., Friedson, A., Koller, A. P. and Rees, D. I (2017) The Affordable Care Act and Ambulance Response Times | 0.737 | 3 | 2 | 100% |
| 6 | Sommers, B., Blendon, R., Orav, E. and Epstein, A (2016) Changes in utilization and health among low-income adults after medicaid expansion or expanded private insurance | 0.737 | 3 | 2 | 100% |
| 7 | Obama, B (2016) United states health care reform progress to date and next steps | 0.511 | 2 | 1 | 100% |
| 8 | Calonico, S., Cattaneo, M. D. and Titiunik, R (2014) Robust nonparametric confidence intervals for regression-discontinuity designs | 0.511 | 2 | 1 | 100% |
| 9 | Hull, P (2018) Isolateing: Identifying counterfactual-specific treatment effects with cross-stratum comparisons | 0.511 | 2 | 1 | 100% |
| 10 | Imbens, G. and Kalyanaraman, K (2012) Optimal bandwidth choice for the regression discontinuity estimator | 0.511 | 2 | 1 | 100% |
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