Drivers of COVID-19 deaths in the United States: A two-stage modeling approach
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- Andrés Garcia-Suaza & Miguel Henry & Jesús Otero & Kit Baum, 2022. "Drivers of COVID-19 deaths in the United States: A two-stage modeling approach," Swiss Stata Conference 2022 07, Stata Users Group.
- Kit Baum & Andrés Garcia-Suaza & Miguel Henry & Jesús Otero, "undated". "Drivers of COVID-19 deaths in the United States: A two-stage modeling approach," Northern European Stata Conference 2023 01, Stata Users Group.
- Andrés Garcia-Suaza & Miguel Henry & Jesús Otero & Kit Baum, 2023. "Drivers of COVID-19 deaths in the United States: A two-stage modeling approach," UK Stata Conference 2023 17, Stata Users Group.
- Andrés Garcia-Suaza & Miguel Henry & Jesús Otero & Kit Baum, 2023. "Drivers of COVID-19 deaths in the United States: A two-stage modeling approach," German Stata Conference 2023 01, Stata Users Group.
References listed on IDEAS
- A. Chudik & G. Kapetanios & M. Hashem Pesaran, 2018.
"A One Covariate at a Time, Multiple Testing Approach to Variable Selection in High‐Dimensional Linear Regression Models,"
Econometrica, Econometric Society, vol. 86(4), pages 1479-1512, July.
- Alexander Chudik & George Kapetanios & M. Hashem Pesaran, 2016. "A one-covariate at a time, multiple testing approach to variable selection in high-dimensional linear regression models," Globalization Institute Working Papers 290, Federal Reserve Bank of Dallas.
- Chudik, A. & Kapetanios, G. & Pesaran, Hashem, 2016. "A One-Covariate at a Time, Multiple Testing Approach to Variable Selection in High-Dimensional Linear Regression Models," Cambridge Working Papers in Economics 1677, Faculty of Economics, University of Cambridge.
- Welsch David, 2022. "The Impact of Mask Usage on COVID-19 Deaths: Evidence from US Counties Using a Quasi-Experimental Approach," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 22(1), pages 1-28, January.
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This paper has been announced in the following NEP Reports:- NEP-HEA-2022-09-19 (Health Economics)
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