eprintid: 10187769
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/18/77/69
datestamp: 2024-02-27 16:28:51
lastmod: 2024-02-27 16:28:51
status_changed: 2024-02-27 16:28:51
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Assad, Stephanie
creators_name: Clark, Robert
creators_name: Ershov, Daniel
creators_name: Xu, Lei
title: Identifying Algorithmic Pricing Technology Adoption in Retail Gasoline Markets
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F49
note: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: 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.
date: 2022-05
date_type: published
publisher: American Economic Association
official_url: https://doi.org/10.1257/pandp.20221060
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2251767
doi: 10.1257/pandp.20221060
lyricists_name: Ershov, Daniel
lyricists_id: DERSH94
actors_name: Ershov, Daniel
actors_id: DERSH94
actors_role: owner
full_text_status: public
pres_type: paper
publication: AEA PAPERS AND PROCEEDINGS
volume: 112
pagerange: 457-460
pages: 4
event_title: 134th Annual Meeting of the American-Economic-Association (AEA)
event_location: ELECTR NETWORK
event_dates: 7 Jan 2022 - 9 Jan 2022
issn: 2574-0768
book_title: AEA Papers and Proceedings
citation:        Assad, Stephanie;    Clark, Robert;    Ershov, Daniel;    Xu, Lei;      (2022)    Identifying Algorithmic Pricing Technology Adoption in Retail Gasoline Markets.                     In:  AEA Papers and Proceedings.  (pp. pp. 457-460).  American Economic Association       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10187769/1/ACEX_PP_2022.pdf