Data and Code for: How Do National Firms Respond to Local Cost Shocks?
Principal Investigator(s): View help for Principal Investigator(s) Boyoung Seo, Indiana University; Daniel W. Sacks, Indiana University; R. Andrew Butters, Indiana University
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
|---|---|---|---|
| data | 02/16/2022 03:41:PM | ||
| doc | 02/18/2022 12:47:PM | ||
| logs | 01/03/2022 02:42:PM | ||
| results | 01/03/2022 04:08:PM | ||
| scripts | 02/17/2022 08:28:PM | ||
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application/pdf | 133.2 KB | 02/18/2022 07:47:AM |
Project Citation:
Seo, Boyoung, Sacks, Daniel W., and Butters, R. Andrew. Data and Code for: How Do National Firms Respond to Local Cost Shocks? Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-04-19. https://doi.org/10.3886/E157721V1
Project Description
Summary:
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Replicators need to have access to Nielsen datasets through Kilts Center for Marketing at Chicago Booth. All Nielsen-relevant datasets are confidential, and therefore, not released to public.
Scope of Project
Subject Terms:
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retail;
grocery;
chain;
pricing;
nielsen;
retailer;
prices;
excise tax;
alcohol;
cigarettes;
beer;
liquor;
sales tax;
sugar sweetened beverages;
soda;
pricing strategy;
uniform pricing;
firm optimization;
tax incidence
JEL Classification:
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D40 Market Structure, Pricing, and Design: General
L11 Production, Pricing, and Market Structure; Size Distribution of Firms
L81 Retail and Wholesale Trade; e-Commerce
D40 Market Structure, Pricing, and Design: General
L11 Production, Pricing, and Market Structure; Size Distribution of Firms
L81 Retail and Wholesale Trade; e-Commerce
Geographic Coverage:
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United States
Time Period(s):
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1/1/2006 – 12/31/2018
Collection Date(s):
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7/1/2019 – 12/31/2021
Universe:
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Retailers in Nielsen Retail Scanner data
Households in Nielsen Consumer Panel data
Households in Nielsen Consumer Panel data
Data Type(s):
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administrative records data;
aggregate data;
census/enumeration data;
event/transaction data;
geographic information system (GIS) data;
observational data
Methodology
Unit(s) of Observation:
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Retailer-week-UPC
Related Publications
Published Versions
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This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.