Carlos B. Carneiro, Iúri H. Ferreira, Marcelo C. Medeiros, Henrique F. Pires, Eduardo Zilberman
arXiv 28 Sep 2020 · Statistics — Applications · 5 citations (OpenAlex)
arXiv:2009.13484 · PDF · DOI · OpenAlex · Extracted main text
We adopt an artificial counterfactual approach to assess the impact of lockdowns on the short-run evolution of the number of cases and deaths in some US states. To do so, we explore the different timing in which US states adopted lockdown policies, and divide them among treated and control groups. For each treated state, we construct an artificial counterfactual. On average, and in the very short-run, the counterfactual accumulated number of cases would be two times larger if lockdown policies were not implemented.
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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 | R. Masini and M. Medeiros (2019) Counterfactual analysis with artificial controls: Inference, high dimensions and nonstationarity | 0.874 | 5 | 2 | 100% |
| 2 | V. Chernozhukov, H. Kasahara, and P. Schrimpf (2021) Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S | 0.737 | 3 | 2 | 100% |
| 3 | C. Carvalho, R. Masini, and M. Medeiros (2018) ArCo: An artificial counterfactual approach for high-dimensional panel time-series data | 0.644 | 2 | 2 | 100% |
| 4 | S. Stephens-Davidowitz (2014) The cost of racial animus on a black candidate: Evidence using google search data | 0.511 | 2 | 1 | 100% |
| 5 | A. Brzezinski, G. Deiana, V. Kecht, and D. V. Dijcke (2020) The covid-19 pandemic: Government vs. community action across the United States | 0.511 | 2 | 1 | 100% |
| 6 | J. Pearl (1993) Comment: Graphical models, causality and intervention | 0.511 | 2 | 1 | 100% |
| 7 | M. Medeiros and E. Mendes (2016) $_1$-regularization of high-dimensional time-series models with non-gaussian and heteroskedastic innovations | 0.405 | 1 | 1 | 100% |
| 8 | A. Abadie, A. Diamond, and J. Hainmueller (2010) Synthetic control methods for comparative case studies: Estimating the effect of California's tobacco control program | 0.405 | 1 | 1 | 100% |
| 9 | A. Abadie and J. Gardeazabal (2003) The economic costs of conflict: A case study of the Basque country | 0.405 | 1 | 1 | 100% |
| 10 | F. Alvarez, D. Argente, and F. Lippi (2020) A simple planning problem for covid-19 lockdown | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 27 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | The Proper Use of Google Trends in Forecasting Models | 0.405 | 1 | 1 |