Andrey Fradkin
Assistant Professor, Marketing
I am currently an assistant professor of marketing at the Boston University Questrom School of Business and an affiliate of the Boston University Economics Department. My academic research has been published in top marketing, economics, and computer science outlets. I’ve provided expert input about the digital economy to the President’s Council on Science and Technology and the Federal Trade Commission. Prior to BU, I was a postdoc at the Initiative on the Digital Economy at MIT. I worked as a data scientist at Airbnb while completing a Ph.D. in Economics at Stanford University. In my free time, I climb, write, and make a podcast.
Selected Research Presentations
Fradkin, A. The Welfare Effects of Vertically Integrated Platforms: Evidence from E-Commerce Platforms, NABE TEC, 2023
Hagiu, A. , Fradkin, A. , Lomax, D. , Farronato, C. Tech Titans Under Scrutiny:Government Regulation, FTC Lawsuits, and Amazon’s Future, Insights@Questrom webinar, virtual, 2023
Farronato, C. , Fradkin, A. , Hagiu, A. Tech Titans Under Scrutiny: Government Regulation, FTC Lawsuits, and Amazon’s Future: What Is the Impact of the Amazon FTC Lawsuit?, 2023
Fradkin, A. The Welfare Effects of Vertically Integrated Platforms: Evidence from E-Commerce Platforms, Economics of Platforms Online Seminar, 2023
Fradkin, A. The Welfare Effects of Vertically Integrated Platforms: Evidence from E-Commerce Platforms, VQMS, 2023
Fradkin, A. The Welfare Effects of Vertically Integrated Platforms: Evidence from E-Commerce Platforms, Advances in Field Experiments Conference, 2023
Fradkin, A. Competition Avoidance vs Herding in Job Search: Evidence from Large-scale Field Experiments on an Online Job Board, jRC Europe, 2022
Fradkin, A. Competition Avoidance vs Herding in Job Search: Evidence from Large-scale Field Experiments on an Online Job Board, UC Berkeley, 2022
Fradkin, A. Competition Avoidance vs Herding in Job Search: Evidence from Large-scale Field Experiments on an Online Job Board, U. Chicago Booth, 2022
Fradkin, A. Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb, NBER Digitization Conference, 2022
Fradkin, A. Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb, BU Platform Strategy Conference, 2022
Fradkin, A. Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb, Economics of Platforms, 2022
Fradkin, A. The effects of vertical integration at Amazon, Marketing Science Conference, 2022
Fradkin, A. Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb, IIM Ahmedabad, 2022
Fradkin, A. Dog Eat Dog: Balancing Network Effect and Differentiation in a Digital Platform Merger, Competition and ConsumerWelfare in the Platform Era, 2022
Fradkin, A. Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb, International Industrial Organization Conference, 2022
Fradkin, A. Competition Avoidance vs Herding in Job Search: Evidence from Large-scale Field Experiments on an Online Job Board, MIT Sloan, 2022
Fradkin, A. Competition Avoidance vs Herding in Job Search: Evidence from Large-scale Field Experiments on an Online Job Board, Society of Labor Economics, 2022
Fradkin, A. Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger, Next Generation of Antitrust, Data Privacy and Data Protection Scholars Conference, 2022
Fradkin, A. Competition Avoidance vs Herding in Job Search: Evidence from Large-scale Field Experiments on an Online Job Board, Econometric Society North American Winter Meetings, 2022
Fradkin, A. Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb, U. Rochester, U. Rochester, 2021
Fradkin, A. BU Platform Symposium, 2021
Fradkin, A. Information About Vacancy Competition Redirects Job Search, Marketplace Innovation Workshop, 2021
Farronato, C. , Fradkin, A. Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger, NBER IO, 2021
Fradkin, A. Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger, CU Boulder, CU Boulder, 2021
Fradkin, A. Dog Eat Dog: Measuring Returns to Scale using a Digital Platform Merger, NYU Strategy Conference
Fradkin, A. , Fong, J. Dog Eat Dog: Measuring Returns to Scale using a Digital Platform Merger, Quantitative Marketing and Economic Conference
Fradkin, A. Information About Vacancy Competition Redirects Job Search, University of Lausanne
Fradkin, A. Information About Vacancy Competition Redirects Job Search, Advances in Field Experiments Conference
Fradkin, A. The Platform Value of Incentivized Review Programs, Conference on Digital Experimentation
Fradkin, A. The Platform Value of Incentivized Review Programs, Workshop on Information Systems and Economics (WISE)
Fradkin, A. Information About Vacancy Competition Redirects Job Search, Marketing Science Conference
Farronato, C. , Fradkin, A. Dog Eat Dog: Measuring Returns to Scale using a Digital Platform Merger, NBER Summer Institute Digitization
Fradkin, A. , Farronato, C. Dog Eat Dog: Measuring Returns to Scale using a Digital Platform Merger, NBER Winter IO Meeting
Fradkin, A. Housing Technology Panel, APPAM Conference
Fradkin, A. Information About Vacancy Competition Redirects Job Search, NBER Digitization
Longoni, C. News from generative artificial intelligence is believed less, 2022 Association for Computing Machinery Conference on Fairness, Accountability, and Transparency, Seul, Korea
Fradkin, A. Discussion of Guy Aridor’s Paper, Quantitative Marketing and Economics Conference
Publications
Fradkin, A., Holtz, D. (In Press). “Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb”, Marketing Science
Farronato, C., MacKay, A., Fradkin, A. (In Press). “Self-Preferencing at Amazon: Evidence from Search Rankings”, American Economic Review (Paper and Proceedings)
Fradkin, A., Farronato, C., Fong, J. (In Press). “Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger”, Management Science
Baker, S., Fradkin, A. (In Press). “What Drives Job Search? Evidence from Google Search Data”, SSRN Electronic Journal
Hagiu, A., Farronato, C., Fradkin, A., Lomax, D. (2024). “Understanding the Tradeoffs of the Amazon Antitrust Case”, Harvard Business Review
Fradkin, A. (2023). “Platform Papers: Do Incentives to Review Help the Market?”,
Longoni, C., Fradkin, A., Cian, L., Pennycook, G. (2022). “News from generative artificial intelligence is believed less”, FAccT ’22: 2022 ACM Conference on Fairness, Accountability, and Transparency
Farronato, C., Fradkin, A. (2022). “The Welfare Effects of Peer Entry: The Case of Airbnb and the Accommodation Industry”, American Economic Review, 112 (6), 1782-1817
Fradkin, A., Grewal, E., Holtz, D. (2021). “Reciprocity and Unveiling in Two-Sided Reputation Systems: Evidence from an Experiment on Airbnb”, Marketing Science
Fradkin, A., Farronato, C., Fong, J. (2021). “When Do Users Benefit From Platform Mergers?”, ProMarket
Fradkin, A. (2021). “The balance between platform variety and network effects”, VoxEU
(2020). “Tit for Tat? The Difficulty of Designing Two-Sided Reputation Systems”, NIM Marketing Intelligence Review
Fradkin, A., Panier, F., Tojerow, I. (2019). “Blame the Parents? How Parental Unemployment Affects Labor Supply and Job Quality for Young Adults”, Journal of Labor Economics, 37 (1), 35-100
Fradkin, A. (2019). “A Simulation Approach to Designing Digital Matching Platforms”,
Baker, S., Fradkin, A. (2017). “The Impact of Unemployment Insurance on Job Search: Evidence from Google Search Data”, The Review of Economics and Statistics, 99 (5), 756-768
Bernheim, B., Fradkin, A., Popov, I. (2015). “The Welfare Economics of Default Options in 401(k) Plans”, American Economic Review, 105 (9), 2798-2837
Fradkin, A., Grewal, E., Holtz, D., Pearson, M. (2015). “Bias and Reciprocity in Online Reviews”, Proceedings of the Sixteenth ACM Conference on Economics and Computation
Fradkin, A. (2015). “Search Frictions and the Design of Online Marketplaces”, Proceedings of the The Third Conference on Auctions, Market Mechanisms and Their Applications