Fall 2017 - Norman Swanson and Roger Klein
Spring 2018 - Yuan Liao and Xiye Yang
- All seminars will be held in the New Jersey Hall 3rd Floor Library on Thursdays at 4:00 p.m., unless otherwise noted.
- Papers can be downloaded from the Department's website when available in advance.
- Schedule of Dates and Speakers may change.
Frank Schorfheide, University of Pennsylvania
Francis Vella, Georgetown University
Adam Rosen, Duke University
Federico Bandi, Johns Hopkins University
Yixiao (Ethan) Jiang, Rutgers University (Graduate Studen)
"The Profits and Perils of Rapport: Pass-throughs and Conflicts of Interest in Credit Ratings"
Hiroaki Kaido, Boston University
Friday, November 3 (*Note change in day)
Simon Lee, Columbia University
"IDENTIFYING THE EFFECT OF PERSUASION" with Sung Jae Jun
Abstract: In this paper, we set up an econometric model of persuasion, point out the key parameters of interest, and study identification of these parameters. We employ the potential outcome framework to define the persuasion rate and characterize identification of the impacts of persuasion under various data scenarios. We illustrate our findings by applying them to two strands of the literature: the effects of media on voting and door-to-door fund raising. Our empirical results show that the heterogeneous effect of persuasion is ubiquitous among all of our applications and that the estimates of the persuasive effects can be compared across different studies under weak conditions on underlying economic and econometric models.
November 9 - CANCELLED
Weiqi Xiong, Rutgers University (Graduate Student)
Mingmian Cheng, Rutgers University (Graduate Student)
Bruce Hansen, University of Wisconsin
“The Exact Distribution of the t-Ratio with Robust and Clustered Standard Errors”
Abstract: This paper derives a computable form for the exact distribution of the White and cluster-robust t-ratio in the linear regression model, under the assumption of i.i.d. normal errors. The exact distribution can be quite different from the conventional normal and t approximations when the regression design is highly leveraged. The exact distribution eliminates this distortion.
December 6 - (Note day and time change Wednesday, 4:15 - 5:45pm)
Sungkyung Lee, Rutgers University (Graduate Student)
December 13 (Note change in day and time Wednesday, 1:00 - 2:30pm)