Data and Code for: The Impact of Distance in Retail Markets

Principal Investigator(s): View help for Principal Investigator(s) Daniel Edgel, University of Wisconsin-Madison; Jean-François Houde, University of Wisconsin-Madison; Peter Newberry, University of Georgia; Katja Seim, Yale University

Version: View help for Version V1

Name	File Type	Size	Last Modified
code			04/27/2023 11:33:AM
data			04/27/2023 03:08:PM
README.md	text/x-web-markdown	6.2 KB	05/11/2023 11:18:AM

Project Citation:

Edgel, Daniel, Houde, Jean-François, Newberry, Peter, and Seim, Katja. Data and Code for: The Impact of Distance in Retail Markets. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-10-16. https://doi.org/10.3886/E188421V1

Project Description

Summary: In this paper, we quantify the implications of this improved delivery convenience for consumers’ online shopping behavior and offline store visits. We exploit the staggered roll-out of Amazon’s network to quantify the impact of local network proximity and same-day availability on two measures of demand: online transactions from Amazon, which we obtain from the comScore Web Behavior database, and offline retailer foot traffic from SafeGraph.

Scope of Project

Subject Terms: E-commerce; Retail Markets

JEL Classification:
D22 Firm Behavior: Empirical Analysis

Methodology

Collection Mode(s): other; web scraping

Related Publications

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Published Versions

V1 [2023-10-16]

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DDI 2.5

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