Data and Code for: Generic Aversion and Observational Learning in the Over-the-Counter Drug Market

Principal Investigator(s): View help for Principal Investigator(s) Mariana Carrera, Montana State University - Bozeman, MT; Sofia Villas-Boas, U.C. Berkeley

Version: View help for Version V1

Name	File Type	Size	Last Modified
data			12/13/2022 03:20:PM
dataprep			12/30/2022 07:17:PM
do			12/30/2022 06:51:PM
out			12/30/2022 07:19:PM
Readme.pdf	application/pdf	282.5 KB	12/30/2022 02:20:PM

Project Citation:

Carrera, Mariana, and Villas-Boas, Sofia. Data and Code for: Generic Aversion and Observational Learning in the Over-the-Counter Drug Market. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-06-20. https://doi.org/10.3886/E166601V1

Project Description

Summary: As described in the paper "Generic Aversion and Observational Learning in the Over-the-Counter Drug Market," the authors conducted labeling interventions in six Northern California stores belonging to a national retailer. The labeling interventions were designed to test three hypotheses for consumer aversion to generic over the counter (OTC) drugs. The data and do-files in this deposit enable replication of the analyses in the paper, which uses a difference-in-differences strategy to estimate the impacts of each of three labeling tests on generic purchasing of OTC drugs.

Scope of Project

Subject Terms: generic drugs; over-the-counter; field experiment

JEL Classification:
D12 Consumer Economics: Empirical Analysis
L15 Information and Product Quality; Standardization and Compatibility

Time Period(s): 2010 – 2012

Data Type(s): event/transaction data

Methodology

Unit(s) of Observation: weekly sales at the store-UPC level, weekly purchases by household identifier, store, and UPC

Related Publications

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Published Versions

V1 [2023-06-20]

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DDI 2.5

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