Demo Data from EDBT 2026 / reviewers in the wild / expert
Jett Pettus
dblp:297/4840
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › cooperative game theory
bargaining |
0.5 | 1 | 2021 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Communication and Bargaining Breakdown: An Empirical AnalysisabstractBargaining 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 |
EC | 3 |