Data and Code for: Optimal Regulation of E-cigarettes: Theory and Evidence

Principal Investigator(s):  View help for Principal Investigator(s) Hunt Allcott, Microsoft Research and NBER; Charlie Rafkin, MIT

Version:  View help for Version V1

Name File Type Size Last Modified
  e-cigs repo 11/12/2021 04:37:PM

Project Citation: 

Allcott, Hunt, and Rafkin, Charlie. Data and Code for: Optimal Regulation of E-cigarettes: Theory and Evidence. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-10-20. https://doi.org/10.3886/E146462V1

Project Description

Summary:  View help for Summary The data and code repository for "Optimal Regulation of E-cigarettes: Theory and Evidence" by Hunt Allcott and Charlie Rafkin, accepted by American Economic Journal: Economic Policy. 
Funding Sources:  View help for Funding Sources National Science Foundation Graduate Research Fellowship (1122374); Sloan Foundation

Scope of Project

Subject Terms:  View help for Subject Terms e-cigarettes; vaping; cigarettes; smoking; gateway drug; health behavior; addiction; behavioral public economics; optimal sin taxes; behavioral welfare analysis
JEL Classification:  View help for JEL Classification
      D12 Consumer Economics: Empirical Analysis
      D18 Consumer Protection
      D61 Allocative Efficiency; Cost-Benefit Analysis
      H21 Taxation and Subsidies: Efficiency; Optimal Taxation
      H23 Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies
      I12 Health Behavior
      I18 Health: Government Policy; Regulation; Public Health
Geographic Coverage:  View help for Geographic Coverage United States
Data Type(s):  View help for Data Type(s) aggregate data; census/enumeration data; observational data; program source code; survey data


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Published Versions

V1 [2022-10-20]

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