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Jett Pettus

dblp:297/4840 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › cooperative game theory
bargaining
0.512021
Communication and Bargaining Breakdown: An Empirical Analysis · EC 2021

Methods — techniques the papers use, named apart from their topics

text analysis · 0.5difference-in-differences · 0.5
YearPublicationVenuePosition
2021 Communication and Bargaining Breakdown: An Empirical Analysis
abstract
Bargaining breakdown plagues bargaining in environments with incomplete information. Does communication help or harm? On May 23, 2016, eBay Germany's Best Offer platform introduced unstructured communication allowing desktop users, but not the mobile users, to accompany offers with a message. Using this natural experiment, our difference-in-differences approach documents a 14% decrease in the the rate of breakdown among compliers. Though adoption is immediate, the effect is not. We show, using text analysis, that the dynamics are consistent with repeat players learning how to use communication in bargaining, and that the messaging strategies of experienced sellers are correlated with successful bargaining.
Matt Backus, Thomas Blake, Jett Pettus, Steven Tadelis
EC3