Consider the following hypothetical pooled cross-sectional data of dailyCOVID-19 cases per 1,000 people during the early two months of the pandemic, fromMarch to April 2020 in Ohio and 5 other neighboring states. The variable Apriltakesvalue 1 if the recorded cases are from April 2020, and takes value 0 if the recorded casesare from March 2020. The variable lockdown takes value 1 if the state put in place aStay-at-home order beginning from March 2020, and takes value 0 otherwise. Using thedifference-in-differences estimator, assess the impact of the lockdown policy on dailyCOVID-19 cases.

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Consider the following hypothetical pooled cross-sectional data of dailyCOVID-19 cases per 1,000 people during the early two months of the pandemic, fromMarch to April 2020 in Ohio and 5 other neighboring states. The variable Apriltakesvalue 1 if the recorded cases are from April 2020, and takes value 0 if the recorded casesare from March 2020. The variable lockdown takes value 1 if the state put in place aStay-at-home order beginning from March 2020, and takes value 0 otherwise. Using thedifference-in-differences estimator, assess the impact of the lockdown policy on dailyCOVID-19 cases.

 

 

Table 1. Daily COVID-19 Cases by State
State
April
Cases
Lockdown
Indiana
2
Indiana
1
8
Kentucky
1
Kentucky
1
Michigan
3
Michigan
1
8
Ohio
2
1
Ohio
4
Pennsylvania
4
Pennsylvania
1
1
West Virginia
1
1
West Virginia
1
2
1
Transcribed Image Text:Table 1. Daily COVID-19 Cases by State State April Cases Lockdown Indiana 2 Indiana 1 8 Kentucky 1 Kentucky 1 Michigan 3 Michigan 1 8 Ohio 2 1 Ohio 4 Pennsylvania 4 Pennsylvania 1 1 West Virginia 1 1 West Virginia 1 2 1
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