TY  - GEN
TI  - Identifying Algorithmic Pricing Technology Adoption in Retail Gasoline Markets
AV  - public
SP  - 457
Y1  - 2022/05//
EP  - 460
N1  - This version is the version of record. For information on re-use, please refer to the publisher?s terms and conditions.
N2  - While recent theoretical literature shows that algorithmic pricing (AP) may increase retail prices by facilitating collusive behavior, there has been no empirical evidence relating the adoption of AP technology to higher prices and/or collusion. One key reason is that information about firms' pricing technologies and their adoption of new pricing software is rarely available. In this paper, we use detailed price data from the German retail gasoline market, where AP was supposedly introduced in 2017. We show how to identify changes in pricing technology using structural breaks in pricing behaviors associated with AP.
ID  - discovery10187769
PB  - American Economic Association
UR  - https://doi.org/10.1257/pandp.20221060
SN  - 2574-0768
A1  - Assad, Stephanie
A1  - Clark, Robert
A1  - Ershov, Daniel
A1  - Xu, Lei
ER  -