Marianne Bléhaut, Xavier D'Haultfoeuille, Jérémy L'Hour, Alexandre B. Tsybakov
arXiv 25 May 2020 · Econometrics · publishedSpringer proceedings in mathematics & statistics (2023)
arXiv:2005.12225 · PDF · DOI · OpenAlex · Extracted main text
The synthetic control method is a an econometric tool to evaluate causal effects when only one unit is treated. While initially aimed at evaluating the effect of large-scale macroeconomic changes with very few available control units, it has increasingly been used in place of more well-known microeconometric tools in a broad range of applications, but its properties in this context are unknown. This paper introduces an alternative to the synthetic control method, which is developed both in the usual asymptotic framework and in the high-dimensional scenario. We propose an estimator of average treatment effect that is doubly robust, consistent and asymptotically normal. It is also immunized against first-step selection mistakes. We illustrate these properties using Monte Carlo simulations and applications to both standard and potentially high-dimensional settings, and offer a comparison with the synthetic control method.
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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 | Farrell (2015) `Robust inference on average treatment effects with possibly more covariates than observations', Journal of Econometrics 189(1),… | 1.000 | 14 | 4 | 100% |
| 2 | Abadie, Diamond \ Hainmueller (2010) `Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program', Journal… | 1.000 | 9 | 4 | 100% |
| 3 | Belloni, Chernozhukov \ Hansen (2014) `Inference on treatment effects after selection among high-dimensional controls', The Review of Economic Studies 81(2), 608–650 | 0.950 | 7 | 4 | 86% |
| 4 | Chernozhukov, Hansen \ Spindler (2015) `Valid post-selection and post-regularization inference: An elementary, general approach', Annual Review of Economics 7(1), 649–… | 0.874 | 6 | 2 | 100% |
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| 8 | LaLonde (1986) `Evaluating the Econometric Evaluations of Training Programs with Experimental Data', American Economic Review 76(4), 604–20 | 0.737 | 3 | 2 | 100% |
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| 10 | Imai \ Ratkovic (2014) `Covariate balancing propensity score', Journal of the Royal Statistical Society: Series B (Statistical Methodology) 76(1), 243–… | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 46 scored citations.