Data and Code for: Identifying Algorithmic Pricing Technology Adoption in Retail Gasoline Markets

Principal Investigator(s): View help for Principal Investigator(s) Stephanie Assad, Competition Bureau of Canada; Daniel Ershov, Toulouse School of Economics; Lei Xu, Queen's University; Robert Clark, Queen's University

Version: View help for Version V1

Name	File Type	Size	Last Modified
replication_package_final			04/27/2022 09:18:AM

Project Citation:

Assad, Stephanie, Ershov, Daniel , Xu, Lei, and Clark, Robert. Data and Code for: Identifying Algorithmic Pricing Technology Adoption in Retail Gasoline Markets. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-05-09. https://doi.org/10.3886/E168822V1

Project Description

Summary: This paper investigates pricing technology in German retail gasoline markets. In this market, according to trade publications and other sources, algorithmic pricing software became widely available beginning in 2017. However, despite the availability of comprehensive station-level pricing data, there is no direct information of which stations adopted the new technology. In this paper, we describe how we overcome this challenge and identify changes in pricing technology.

Scope of Project

Subject Terms: structural break tests

JEL Classification:
D22 Firm Behavior: Empirical Analysis

Geographic Coverage: Germany

Time Period(s): 1/1/2016 – 12/31/2018

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Published Versions

V1 [2022-05-09]

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