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Andrey Fradkin

Andrey Fradkin

Economist researching AI, digital platforms, and market design

Boston, MA
San Francisco, CA
Joined January 2025

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Summary

Andrey Fradkin is a leading academic and applied economist specializing in digital platforms, quantitative marketing, and the burgeoning economics of AI. He holds an Associate Professor position with tenure at Boston University's Questrom School of Business, where he is also a Digital Fellow at MIT's Initiative on the Digital Economy. Currently, he is on leave working as a Principal Economist at Amazon, focusing on AI-related economic topics. andreyfradkin+3
His research, published in top economics and computer science journals such as Management Science, American Economic Review, Marketing Science, and AEJ: Applied Economics, frequently leverages large-scale field experiments and data from major tech companies. He has contributed significantly to understanding topics like online reviews (Airbnb), self-preferencing (Amazon), job search behavior (online job boards), and the welfare effects of peer entry (Airbnb). andreyfradkin+2
Beyond traditional academic publications, Fradkin is actively engaged in public discourse through his Substack 'Empiricrafting' and as co-host of the 'Justified Posteriors' podcast, where he discusses economics, academia, and technology. He also contributes to Harvard Business Review with insights on digital economy topics, including antitrust and short-term rentals. andreyfradkin+2
Fradkin has a strong background in both academic research and industry application. Prior to his professorship, he worked as a Data Scientist at Airbnb, where he designed experiments related to their search and matching algorithms and reputation systems. He also held postdoctoral positions at MIT Sloan School of Management and the National Bureau of Economic Research. andreyfradkin+4

Work

Education

Writing

The Coasean Singularity? Demand, Supply, and Market Design with AI Agents

January 1, 2026

Contribution to 'The Economics of Transformative AI' (University of Chicago Press, 2026), exploring demand, supply, and market design in the context of AI agents.

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Designing Consent: Choice Architecture and Consumer Welfare in Data Sharing

January 1, 2025

Extended abstract accepted at EC'25, focusing on how consent design impacts consumer welfare in data sharing.

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Consumer Protection in an Online World: An Analysis of Occupational Licensing

January 1, 2024

Analyzes the impact of occupational licensing on consumer protection in online environments, published in AEJ: Applied Economics.

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Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger

January 1, 2024

Discusses how to balance network effects and differentiation during digital platform mergers, published in Management Science.

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Understanding the Tradeoffs of the Amazon Antitrust Case

January 1, 2024

Article in Harvard Business Review - Digital discussing the complexities and tradeoffs of the Amazon antitrust case.

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What Does Banning Short-Term Rentals Really Accomplish?

January 1, 2024

Article in Harvard Business Review - Digital co-authored with Sophie Calder-Wang and Chiara Farronato, analyzing the effects of banning short-term rentals.

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Do Incentives to Review Help the Market? Evidence from a Field Experiment on Airbnb

January 1, 2023

Studies the effect of review incentives on market dynamics using data from Airbnb, published in Marketing Science.

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Self-Preferencing at Amazon: Evidence from Search Rankings

January 1, 2023

Investigates Amazon's self-preferencing practices using evidence from search rankings, published in AEA Papers and Proceedings.

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Platform Papers: Do Incentives to Review Help the Market?

January 1, 2023

Discusses whether incentives for reviews are beneficial for markets.

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The Welfare Effects of Peer Entry: The Case of Airbnb and the Accommodation Industry

January 1, 2022

Examines the welfare implications of peer-to-peer platforms like Airbnb on the accommodation industry, published in American Economic Review.

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News from Generative Artificial Intelligence is Believed Less

January 1, 2022

Research on the credibility of information generated by AI, published in ACM FAccT 2022.

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Reciprocity and Unveiling in Two-sided Reputation Systems: Evidence from an Experiment on Airbnb

January 1, 2021

Research on how reciprocity and information unveiling function in two-sided reputation systems, based on an Airbnb experiment, published in Marketing Science.

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The Balance Between Platform Variety and Network Effects

January 1, 2021

Article on VoxEU exploring the equilibrium between platform variety and network effects.

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Tit for Tat? The Difficulty of Designing Two-Sided Reputation Systems

January 1, 2020

Article in NIM Marketing Intelligence Review on the challenges of designing two-sided reputation systems.

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Blame the Parents? How Parental Unemployment Affects Labor Supply and Job Quality for Young Adults

January 1, 2019

Study on the intergenerational effects of parental unemployment on the labor market outcomes of young adults, published in Journal of Labor Economics.

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The Impact of Unemployment Insurance on Job Search: Evidence from Google Search Data

January 1, 2017

Analyzes the impact of unemployment insurance on job search behavior using Google Search data, published in The Review of Economics and Statistics.

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Digital Marketplaces

January 1, 2017

Entry in the New Palgrave Dictionary of Economics.

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Digital Market Design and Inequality

January 1, 2017

Chapter in Oxford University Press Volume IV: 'More Equal by Design: Economic Design Responses to Inequality'.

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The Welfare Economics of Default Options in 401(k) Plans

January 1, 2015

Examines the welfare economic implications of default options in 401(k) retirement plans, published in American Economic Review.

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Vertical Integration and Consumer Choice: Evidence from a Field Experiment

Investigates the effects of vertical integration on consumer choices.

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Demand for LLMs: Descriptive Evidence on Substitution, Market Expansion, and Multi-Homing

Preliminary paper documenting stylized facts about the demand for Large Language Models.

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Webmunk: A New Tool for Studying Online Behavior and Digital Platforms

Introduces a new tool for research on online behavior and digital platforms.

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Competition Avoidance vs Herding in Job Search: Evidence from Large-scale Field Experiments on an Online Job Board

Examines job search behavior on online platforms, accepted at Management Science.

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Hobbies

Climber. nitter

Immigrant. nitter

Nerd dinner convener. nitter