CANCELED: “Inference with Dyadic Data: Asymptotic Behavior of the Dyadic-Robust t-Statistic” with Max Tabord-Meehan, Northwestern

Event time: 
Thursday, February 9, 2017 - 12:00pm to 1:15pm
Location: 
Institution for Social and Policy Studies (ISPS), Room A002 See map
77 Prospect St.
New Haven, CT 06511
(Location is wheelchair accessible)
Speaker: 
Max Tabord-Meehan, Ph.D. Student in Economics, Northwestern University
Event description: 

THIS WORKSHOP ON QUANTITATIVE RESEARCH METHODS HAS BEEN CANCELED

 

Abstract: This paper is concerned with inference in the linear model with dyadic data. Dyadic data is data that is indexed by pairs of “units”, for example trade data between pairs of countries. Because of the potential for observations with a unit in common to be correlated, standard inference procedures may not perform as expected. We establish a range of conditions under which a t-statistic with the dyadic-robust variance estimator of Fafchamps and Gubert (2007) is asymptotically normal. Using our theoretical results as a guide, we perform a simulation exercise of the validity of the normal approximation in finite samples. We conclude with novel guidelines for applied researchers wishing to use the dyadic-robust estimator for inference.

Max Tabord-Meehan is a 4th year Ph.D. student in Economics at Northwestern University. His research interests are in Econometric Theory and Applied Econometrics.

Open to: 
General Public
Admission: 
Free