They Are Among Us: Pricing Behavior of Algorithms in the Field
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Meghan R. Busse & Christopher R. Knittel & Florian Zettelmeyer, 2013. "Are Consumers Myopic? Evidence from New and Used Car Purchases," American Economic Review, American Economic Association, vol. 103(1), pages 220-256, February.
- Alberto Cavallo, 2017.
"Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers,"
American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
- Alberto F. Cavallo, 2016. "Are Online and Offline Prices Similar? Evidence from Large Multi-Channel Retailers," NBER Working Papers 22142, National Bureau of Economic Research, Inc.
- David Schwartzman, 1960. "The Burden of Monopoly," Journal of Political Economy, University of Chicago Press, vol. 68(6), pages 627-627.
- Yuriy Gorodnichenko & Oleksandr Talavera, 2017.
"Price Setting in Online Markets: Basic Facts, International Comparisons, and Cross-Border Integration,"
American Economic Review, American Economic Association, vol. 107(1), pages 249-282, January.
- Yuriy Gorodnichenko & Oleksandr Talavera, 2014. "Price Setting in Online Markets: Basic Facts, International Comparisons, and Cross-border Integration," NBER Working Papers 20406, National Bureau of Economic Research, Inc.
- Talavera, Oleksandr & Gorodnichenko, Yuriy, 2015. "Price setting in online markets: Basic facts, international comparisons, and cross-border integration," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112885, Verein für Socialpolitik / German Economic Association.
- Xavier Gabaix & David Laibson, 2018.
"Shrouded attributes, consumer myopia and information suppression in competitive markets,"
Chapters, in: Victor J. Tremblay & Elizabeth Schroeder & Carol Horton Tremblay (ed.), Handbook of Behavioral Industrial Organization, chapter 3, pages 40-74,
Edward Elgar Publishing.
- Xavier Gabaix & David Laibson, 2006. "Shrouded Attributes, Consumer Myopia, and Information Suppression in Competitive Markets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 505-540.
- Xavier Gabaix & David Laibson, 2005. "Shrouded Attributes, Consumer Myopia, and Information Suppression in Competitive Markets," NBER Working Papers 11755, National Bureau of Economic Research, Inc.
- Laibson, David I. & Gabaix, Xavier, 2006. "Shrouded Attributes, Consumer Myopia, and Information Suppression in Competitive Markets," Scholarly Articles 4554333, Harvard University Department of Economics.
- Maskin, Eric & Tirole, Jean, 1988.
"A Theory of Dynamic Oligopoly, I: Overview and Quantity Competition with Large Fixed Costs,"
Econometrica, Econometric Society, vol. 56(3), pages 549-569, May.
- J. Tirole & E. Maskin, 1982. "A Theory of Dynamic Oligopoly, I: Overview and Quantity Competition with Large-Fixed Costs," Working papers 320, Massachusetts Institute of Technology (MIT), Department of Economics.
- Eric Maskin & Jean Tirole, 2010. "A Theory of Dynamic Oligopoly, 1: Overview and Quantity Competition with Large Fixed Costs," Levine's Working Paper Archive 397, David K. Levine.
- Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2020.
"Artificial Intelligence, Algorithmic Pricing, and Collusion,"
American Economic Review, American Economic Association, vol. 110(10), pages 3267-3297, October.
- Calzolari, Giacomo & Calvano, Emilio & Denicolo, Vincenzo & Pastorello, Sergio, 2018. "Artificial intelligence, algorithmic pricing and collusion," CEPR Discussion Papers 13405, C.E.P.R. Discussion Papers.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020.
"Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market,"
CESifo Working Paper Series
8521, CESifo.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," Working Paper 1438, Economics Department, Queen's University.
- Jeanine Miklós-Thal & Catherine Tucker, 2019. "Collusion by Algorithm: Does Better Demand Prediction Facilitate Coordination Between Sellers?," Management Science, INFORMS, vol. 65(4), pages 1552-1561, April.
- Hicks, J. R., 1986. "A Revision of Demand Theory," OUP Catalogue, Oxford University Press, number 9780198285502.
- Joseph E Harrington, 2018. "Developing Competition Law For Collusion By Autonomous Artificial Agents," Journal of Competition Law and Economics, Oxford University Press, vol. 14(3), pages 331-363.
- Poterba, James M, 1988. "Are Consumers Forward Looking? Evidence from Fiscal Experiments," American Economic Review, American Economic Association, vol. 78(2), pages 413-418, May.
- Zach Y. Brown & Alexander MacKay, 2023.
"Competition in Pricing Algorithms,"
American Economic Journal: Microeconomics, American Economic Association, vol. 15(2), pages 109-156, May.
- Zach Y. Brown & Alexander MacKay, 2021. "Competition in Pricing Algorithms," NBER Working Papers 28860, National Bureau of Economic Research, Inc.
- Worcester, Dean A, Jr, 1975. "On Monopoly Welfare Losses: Comment," American Economic Review, American Economic Association, vol. 65(5), pages 1015-1023, December.
- Emi Nakamura & Jón Steinsson, 2008. "Five Facts about Prices: A Reevaluation of Menu Cost Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(4), pages 1415-1464.
- David P. Byrne & Nicolas de Roos, 2019. "Learning to Coordinate: A Study in Retail Gasoline," American Economic Review, American Economic Association, vol. 109(2), pages 591-619, February.
- O’Connor, Jason & Wilson, Nathan E., 2021. "Reduced demand uncertainty and the sustainability of collusion: How AI could affect competition," Information Economics and Policy, Elsevier, vol. 54(C).
- Marcel Wieting & Geza Sapi, 2021. "Algorithms in the Marketplace: An Empirical Analysis of Automated Pricing in E-Commerce," Working Papers 21-06, NET Institute.
- Timo Klein, 2021. "Autonomous algorithmic collusion: Q‐learning under sequential pricing," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 538-558, September.
- Waltman, Ludo & Kaymak, Uzay, 2008. "Q-learning agents in a Cournot oligopoly model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3275-3293, October.
- Williams, Marlon L., 2016. "Bank overdraft pricing and myopic consumers," Economics Letters, Elsevier, vol. 139(C), pages 84-87.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Fourberg, Niklas & Marques-Magalhaes, Katrin & Wiewiorra, Lukas, 2022. "They are among us: Pricing behavior of algorithms in the field," WIK Working Papers 6, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, Bad Honnef.
- Werner, Tobias, 2021. "Algorithmic and human collusion," DICE Discussion Papers 372, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Justin P. Johnson & Andrew Rhodes & Matthijs Wildenbeest, 2023.
"Platform Design When Sellers Use Pricing Algorithms,"
Econometrica, Econometric Society, vol. 91(5), pages 1841-1879, September.
- Johnson, Justin Pappas & Rhodes, Andrew & Wildenbeest, Matthijs, 2020. "Platform Design when Sellers Use Pricing Algorithms," TSE Working Papers 20-1146, Toulouse School of Economics (TSE).
- Rhodes, Andrew & Johnson, Justin & Wildenbeest, Matthijs, 2020. "Platform Design When Sellers Use Pricing Algorithms," CEPR Discussion Papers 15504, C.E.P.R. Discussion Papers.
- Justin Pappas Johnson & Andrew Rhodes & Matthijs Wildenbeest, 2023. "Platform design when sellers use pricing algorithms," Post-Print hal-04226232, HAL.
- Normann, Hans-Theo & Sternberg, Martin, 2023. "Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets," European Economic Review, Elsevier, vol. 152(C).
- Simon Martin & Alexander Rasch, 2022. "Collusion by Algorithm: The Role of Unobserved Actions," CESifo Working Paper Series 9629, CESifo.
- Marcel Wieting & Geza Sapi, 2021. "Algorithms in the Marketplace: An Empirical Analysis of Automated Pricing in E-Commerce," Working Papers 21-06, NET Institute.
- Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2019.
"Exclusive Data, Price Manipulation and Market Leadership,"
CESifo Working Paper Series
7853, CESifo.
- Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2021. "Exclusive Data, Price Manipulation and Market Leadership," Working Papers 202102, University of Liverpool, Department of Economics.
- Martin, Simon & Rasch, Alexander, 2022. "Collusion by algorithm: The role of unobserved actions," DICE Discussion Papers 382, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Martin, Simon & Rasch, Alexander, 2024. "Demand forecasting, signal precision, and collusion with hidden actions," International Journal of Industrial Organization, Elsevier, vol. 92(C).
- Gonzalo Ballestero, 2021. "Collusion and Artificial Intelligence: A computational experiment with sequential pricing algorithms under stochastic costs," Young Researchers Working Papers 1, Universidad de San Andres, Departamento de Economia, revised Oct 2022.
- Gonzalo Ballestero, 2022. "Collusion and Artificial Intelligence: A Computational Experiment with Sequential Pricing Algorithms under Stochastic Costs," Working Papers 118, Red Nacional de Investigadores en Economía (RedNIE).
- Epivent, Andréa & Lambin, Xavier, 2024. "On algorithmic collusion and reward–punishment schemes," Economics Letters, Elsevier, vol. 237(C).
- Normann, Hans-Theo & Sternberg, Martin, 2022. "Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets," DICE Discussion Papers 392, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Joseph E. Harrington, 2022. "The Effect of Outsourcing Pricing Algorithms on Market Competition," Management Science, INFORMS, vol. 68(9), pages 6889-6906, September.
- Diego Aparicio & Zachary Metzman & Roberto Rigobon, 2024. "The pricing strategies of online grocery retailers," Quantitative Marketing and Economics (QME), Springer, vol. 22(1), pages 1-21, March.
- Werner, Tobias, 2023. "Algorithmic and Human Collusion," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277573, Verein für Socialpolitik / German Economic Association.
- Lucila Porto, 2022. "Q-Learning algorithms in a Hotelling model," Asociación Argentina de Economía Política: Working Papers 4587, Asociación Argentina de Economía Política.
- Timo Klein, 2021. "Autonomous algorithmic collusion: Q‐learning under sequential pricing," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 538-558, September.
- Bingyan Han, 2021. "Understanding algorithmic collusion with experience replay," Papers 2102.09139, arXiv.org, revised Mar 2021.
- Jonathan Adams & Min Fang & Zheng Liu & Yajie Wang, 2024.
"The Rise of AI Pricing: Trends, Driving Forces, and Implications for Firm Performance,"
Working Paper Series
2024-33, Federal Reserve Bank of San Francisco.
- Jonathan J Adams & Min Fang & Zheng Liu & Yajie Wang, 2024. "The Rise of AI Pricing: Trends, Driving Forces, and Implications for Firm Performance," Working Papers 001015, University of Florida, Department of Economics.
More about this item
Keywords
Algorithmic pricing; Collusion; Artificial intelligence;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
- L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AIN-2023-10-30 (Artificial Intelligence)
- NEP-CMP-2023-10-30 (Computational Economics)
- NEP-COM-2023-10-30 (Industrial Competition)
- NEP-IND-2023-10-30 (Industrial Organization)
- NEP-REG-2023-10-30 (Regulation)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:itse23:277958. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itseurope.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.