Selected article for: "state level cluster and zero day"

Author: Rahi Abouk; Babak Heydari
Title: The Immediate Effect of COVID-19 Policies on Social Distancing Behavior in the United States
  • Document date: 2020_4_10
  • ID: 2jd7aa2d_25
    Snippet: We employ difference-in-differences, a quasi-experimental approach commonly used in social sciences to evaluate the effect of policies. In particular, we compare the daily changes in visits from various locations in states that adopt various COVID 19-related policies with those that have not (yet) done so, before and after these policies take effect (See Appendix B for the regression equation and more details). For each policy, we define a binary.....
    Document: We employ difference-in-differences, a quasi-experimental approach commonly used in social sciences to evaluate the effect of policies. In particular, we compare the daily changes in visits from various locations in states that adopt various COVID 19-related policies with those that have not (yet) done so, before and after these policies take effect (See Appendix B for the regression equation and more details). For each policy, we define a binary variable, set to one if a given state adopts that policy after a certain day during the sample period, and otherwise zero. Since changes in visits are serially correlated within the same state over time, we cluster standard errors at the state level 11 .

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