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Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market
We provide the first empirical analysis of the relationship between algorithmic pricing (AP) and competition by studying the impact of adoption in Germany’s retail gasoline market, where software became widely available in 2017. Because adoption dates are unknown, we identify adopting stations by te...
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Published in: | The Journal of political economy 2024-03, Vol.132 (3), p.723-771 |
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container_end_page | 771 |
container_issue | 3 |
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container_title | The Journal of political economy |
container_volume | 132 |
creator | Assad, Stephanie Clark, Robert Ershov, Daniel Xu, Lei |
description | We provide the first empirical analysis of the relationship between algorithmic pricing (AP) and competition by studying the impact of adoption in Germany’s retail gasoline market, where software became widely available in 2017. Because adoption dates are unknown, we identify adopting stations by testing for structural breaks in AP markers, finding most breaks to be around the time of widespread AP introduction. Because station adoption is endogenous, we instrument using headquarter adoption. Adoption increases margins but only for nonmonopoly stations. In duopoly and triopoly markets, margins increase only if all stations adopt, suggesting that AP has a significant effect on competition. |
doi_str_mv | 10.1086/726906 |
format | article |
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source | International Bibliography of the Social Sciences (IBSS); University of Chicago Press Journals |
subjects | Algorithms Duopoly Endogenous Gasoline |
title | Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market |
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