Problem 1. Consider the following hypothetical pooled cross-sectional data of dai COVID-19 cases per 1,000 people during the early two months of the pandemic, from March to April 2020 in Ohio and 5 other neighboring states. The variable April tak value 1 if the recorded cases are from April 2020, and takes value 0 if the recorded cas are from March 2020. The variable lockdown takes value 1 if the state put in place Stay-at-home order beginning from March 2020, and takes value 0 otherwise. Using tì difference-in-differences estimator, assess the impact of the lockdown policy on dai COVID-19 cases.
Problem 1. Consider the following hypothetical pooled cross-sectional data of dai COVID-19 cases per 1,000 people during the early two months of the pandemic, from March to April 2020 in Ohio and 5 other neighboring states. The variable April tak value 1 if the recorded cases are from April 2020, and takes value 0 if the recorded cas are from March 2020. The variable lockdown takes value 1 if the state put in place Stay-at-home order beginning from March 2020, and takes value 0 otherwise. Using tì difference-in-differences estimator, assess the impact of the lockdown policy on dai COVID-19 cases.
Principles of Economics 2e
2nd Edition
ISBN:9781947172364
Author:Steven A. Greenlaw; David Shapiro
Publisher:Steven A. Greenlaw; David Shapiro
Chapter16: Information, Risk, And Insurance
Section: Chapter Questions
Problem 3SCQ: Why is it difficult to measure health outcomes?
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