Problem 1. Consider the following hypothetical pooled cross-sectional data of dail; 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 take value 1 if the recorded cases are from April 2020, and takes value 0 if the recorded case 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 the difference-in-differences estimator, assess the impact of the lockdown policy on daily COVID-19 cases. Table 1. Daily COVID-19 Cases by State State April Cases Lockdown Indiana 2 Indiana 1 8 Kentucky 1 Kentucky 1 2 Michigan 3 Michigan 1 8 Ohio 2 1 Ohio 1 1 Pennsylvania 1 Pennsylvania 1 7 1 West Virginia 1 1 West Virginia

Problem 1. Consider the following hypothetical pooled cross-sectional data of dail; 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 take value 1 if the recorded cases are from April 2020, and takes value 0 if the recorded case 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 the difference-in-differences estimator, assess the impact of the lockdown policy on daily COVID-19 cases. Table 1. Daily COVID-19 Cases by State State April Cases Lockdown Indiana 2 Indiana 1 8 Kentucky 1 Kentucky 1 2 Michigan 3 Michigan 1 8 Ohio 2 1 Ohio 1 1 Pennsylvania 1 Pennsylvania 1 7 1 West Virginia 1 1 West Virginia

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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