The Effect of Lockdown Repeal on Socialization: Bayesian Multilevel Difference-in-Differences Approach

The Effect of Lockdown Repeal on Socialization: Bayesian Multilevel Difference-in-Differences Approach

The COVID-19 lockdown has had an unprecedented impact on people in various ways. This study evaluates the effect of lockdown repeal from both marketing and public-policy perspectives. Combining the Bayesian multilevel model with the difference-in-differences design, we find that a lockdown repeal ha...

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Bibliographic Details
Main Authors: Hyunwoo Jung, Yiling Li, Jeonghye Choi
Format: Article
Language:English
Published: Korean Marketing Association 2022-10-01
Series:Asia Marketing Journal
Subjects:
lockdown repeal
public policy
socialization
bayesian multilevel model
difference-in-difference
Online Access:https://amj.kma.re.kr/journal/vol24/iss3/2/

Internet

https://amj.kma.re.kr/journal/vol24/iss3/2/

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