Kei Kawai

Latest Institution: Princeton University

All Institutions: Boston University; Princeton University; Yale University; University of California, Berkeley; Kindai University


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.

Based on the Following Papers:

Data Driven Regulation: Theory and Application to Missing Bids

Year: 2019
Journal: No Journal Matched
Authors: Sylvain Chassang; Kei Kawai; Jun Nakabayashi; Juan M. Ortner

The Value of Privacy in Cartels: An Analysis of the Inner Workings of a Bidding Ring

Year: 2021
Journal: No Journal Matched
Authors: Kei Kawai; Jun Nakabayashi; Juan M. Ortner

Signaling in Online Credit Markets

Year: 2021
Journal: Journal of Political Economy
Authors: Kei Kawai; Ken Onishi; Kosuke Uetake

Screening Adaptive Cartels

Year: 2022
Journal: No Journal Matched
Authors: Juan M. Ortner; Sylvain Chassang; Kei Kawai; Jun Nakabayashi

Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach

Year: 2022
Journal: Review of Economic Studies
Authors: Kei Kawai; Jun Nakabayashi; Juan M. Ortner; Sylvain Chassang

Estimating Candidate Valence

Year: 2022
Journal: No Journal Matched
Authors: Kei Kawai; Takeaki Sunada

A Study of Bid-Rigging in Procurement Auctions: Evidence from Indonesia, Georgia, Mongolia, Malta, and State of California

Year: 2022
Journal: No Journal Matched
Authors: Kei Kawai; Jun Nakabayashi; Daichi Shimamoto


Author Disambiguation

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