Name File Type Size Last Modified
  mup_replication 03/31/2024 01:09:PM

Project Citation: 

Bokhari, Farasat A.S., Chakraborty, Ratula, Dobson, Paul W., and Morciano, Marcello. ECIN Replication Package for “Lockdown drinking: The sobering effect of price controls in a pandemic.” Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-03-31. https://doi.org/10.3886/E199482V1

Project Description

Summary:  View help for Summary Lockdown restrictions reduce the spread of COVID-19 but disrupt livelihoods and lifestyles that can induce harmful behavior changes, including problematic lockdown drinking fueled by cheap alcohol.  Exploiting differences amongst the four constituent countries of the United Kingdom, we use triple difference analysis on alcohol retail sales to examine the efficacy of minimum unit pricing as a price control device to help curb excessive consumption in a pandemic setting.  We find the policy is remarkably effective and well-targeted in reducing demand for cheap alcohol, with minimal spillover effects, and consumers overall buying and spending less

Scope of Project

Subject Terms:  View help for Subject Terms pandamic; lockdown ; price control; minimum unit price; alcohol; excessive cons
JEL Classification:  View help for JEL Classification
      C54 Quantitative Policy Modeling
      D04 Microeconomic Policy: Formulation, Implementation, and Evaluation
      H23 Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies
      I18 Health: Government Policy; Regulation; Public Health
      L81 Retail and Wholesale Trade; e-Commerce
Manuscript Number:  View help for Manuscript Number ECIN-Feb-2022-0077
Geographic Coverage:  View help for Geographic Coverage United Kingdom
Time Period(s):  View help for Time Period(s) 9/3/2018 – 8/24/2020 (September 2018 to August 2020)
Universe:  View help for Universe Aggregate sales data on alcohol based products from one large retailer covering four countries and 104 weeks
Data Type(s):  View help for Data Type(s) aggregate data


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