Data and Code for: Competition and Defaults in Online Search
Principal Investigator(s): View help for Principal Investigator(s) Francesco Decarolis, Bocconi University; Muxin Li, Bocconi University; Filippo Alberto Paternollo, Columbia University
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
|---|---|---|---|
| Replication-Public2005 | 01/25/2025 11:26:AM |
Project Citation:
Decarolis, Francesco, Li, Muxin, and Paternollo, Filippo Alberto. Data and Code for: Competition and Defaults in Online Search. Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-07-01. https://doi.org/10.3886/E209142V1
Project Description
Summary:
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Dataset and code for the paper Competition and Defaults in Online Search.This paper offers the first systematic quantitative assessment of default-option interventions
designed to mitigate Google’s search dominance. By analyzing interventions in the European
Economic Area, Russia, and Turkey, we find that, across all three cases, changes to default
settings effectively reduced Google’s market share. The causal impact amounts to less than 1
percentage point in the EEA and over 10 percentage points in Russia and Turkey. Differences
arise from intervention nuances, including the size of the targeted users’ group, local market
characteristics, and remedy designs. We discuss the complexity of assessing the interventions’
impact on welfare deriving from quality responses.
Funding Sources:
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ERC Consolidator Grant (101002867)
Scope of Project
Subject Terms:
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Economics
JEL Classification:
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D44 Auctions
G34 Mergers; Acquisitions; Restructuring; Voting; Proxy Contests; Corporate Governance
L13 Oligopoly and Other Imperfect Markets
L81 Retail and Wholesale Trade; e-Commerce
M37 Advertising
D44 Auctions
G34 Mergers; Acquisitions; Restructuring; Voting; Proxy Contests; Corporate Governance
L13 Oligopoly and Other Imperfect Markets
L81 Retail and Wholesale Trade; e-Commerce
M37 Advertising
Geographic Coverage:
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World
Time Period(s):
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1/1/2009 – 12/31/2022
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