Rácz, Olivér Miklós (2023) The Effect of Distancing Policies on the Reproduction Number of COVID-19. Working Paper. Corvinus University of Budapest, Budapest.
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Abstract
Distancing policies became the primary preventive intervention during the COVID-19 pandemic. This paper estimates the effect of such interventions on the effective reproduction number (Rt) of this virus on a daily panel of 109 countries. Distancing interventions affect COVID infections indirectly through the regulation of social behaviors, which are also a function of voluntary decisions. The main contribution of this paper is the separation of policy-compliant and voluntary distancing effects. I identify the policy-compliant component of distancing behavior as rapid changes in social activity immediately after an intervention. This allows me to isolate the voluntary component as residual changes in activity. I use the isolated voluntary component as a control in the main estimation of distancing policy effects on Rt. I distinguish between (i) place restrictions: restricting destinations and (ii) mobility restrictions: regulations on inland movements. I find strong and permanent effects for both types of restrictions. Place restrictions that target specific destinations are found to be less effective than general mobility restrictions. The effect of voluntary distancing is also significantly negative but weaker than that of policy restrictions. These results suggest that governments can use distancing restrictions effectively in pushing the effective reproduction number below the containment threshold: Rt = 1.
| Item Type: | Monograph (Working Paper) |
|---|---|
| Series Name: | Corvinus Economics Working Papers - CEWP |
| Series Number / Identification Number: | 2023/01 |
| Uncontrolled Keywords: | COVID-19, non-pharmaceutical interventions, causal identification, reproduction number, regression-discontinuity-in-time |
| JEL classification: | C33 - Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models C43 - Index Numbers and Aggregation; Leading indicators C54 - Quantitative Policy Modeling E65 - Studies of Particular Policy Episodes H12 - Crisis Management H39 - Fiscal Policies and Behavior of Economic Agents: Other H84 - Disaster Aid I12 - Health Production I18 - Health: Government Policy; Regulation; Public Health |
| Divisions: | Institute of Economics |
| Subjects: | Mathematics, Econometrics Social welfare, insurance, health care |
| References: | Askitas, N., Tatsiramos, K., and Verheyden, B. (2021). Estimating worldwide effects of nonpharmaceutical
Castex, G., Dechter, E., and Lorca, M. (2021). Covid-19: The impact of social distancing policies, cross-country analysis. Economics of disasters and climate change, 5(1):135–159.
Chernozhukov, V., Kasahara, H., and Schrimpf, P. (2021). Causal impact of masks, policies, behavior on early covid-19 pandemic in the us. Journal of Econometrics, 220(1):23–62.
Cori, A., Ferguson, N. M., Fraser, C., and Cauchemez, S. (2013). A new framework and software to estimate time-varying reproduction numbers during epidemics. American Journal of Epidemiology, 178(9):1505–1512.
Cox, N. J. (2009). CSIPOLATE: Stata module to perform cubic spline interpolation. Statistical Software
Gupta, S., Nguyen, T. D., Rojas, F. L., Raman, S., Lee, B., Bento, A., Simon, K. I., and Wing, C. (2020a). Tracking public and private response to the covid-19 epidemic: Evidence from state and local government actions. Technical report, National Bureau of Economic Research.
Gupta, S., Simon, K. I., and Wing, C. (2020b). Mandated and voluntary social distancing during the covid-19 epidemic: A review.
Hale, T., Webster, S., Petherick, A., Phillips, T., and Kira, B. (2020). Oxford covid-19 government response tracker.
Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars-Larrive, A., Loreto, V., Pinior, B., Thurner,
Hausman, C. and Rapson, D. S. (2018). Regression discontinuity in time: Considerations for empirical
Heckman, J. J. and Sedlacek, G. (1985). Heterogeneity, aggregation, and market wage functions: an
Islam, N., Sharp, S. J., Chowell, G., Shabnam, S., Kawachi, I., Lacey, B., Massaro, J. M., D’Agostino,
Koh, W. C., Naing, L., and Wong, J. (2020). Estimating the impact of physical distancing measures in
Liu, Y., Gayle, A. A., Wilder-Smith, A., and Rocklöv, J. (2020). The reproductive number of covid-19 is
Perra, N. (2021). Non-pharmaceutical interventions during the covid-19 pandemic: A review. Physics Reports.
Petersen, E., Koopmans, M., Go, U., Hamer, D. H., Petrosillo, N., Castelli, F., Storgaard, M., Al Khalili,
Picard, R. (2015). GEOINPOLY: Stata module to match geographic locations to shapefile polygons.
Seres, G., Balleyer, A. H., Cerutti, N., Danilov, A., Friedrichsen, J., Liu, Y., and Süer, M. (2021). Face masks increase compliance with physical distancing recommendations during the covid-19 pandemic. Journal of the Economic Science Association, pages 1–20.
Silva, J. S. and Tenreyro, S. (2006). The log of gravity. The Review of Economics and statistics, 88(4):641–658.
Ullah, A. and Ajala, O. A. (2020). Do lockdown and testing help in curbing covid-19 transmission? Covid Economics, 13:138–185.
Wahltinez, O. et al. (2020). Covid-19 open-data: curating a fine-grained, global-scale data repository for sars-cov-2. Work in progress. |
| ID Code: | 7948 |
| Deposited By: | Ádám Hoffmann |
| Deposited On: | 20 Feb 2023 12:19 |
| Last Modified: | 04 Apr 2023 07:21 |
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