Essays on Interviews and Matching
Name
shayani-shayani-phd-econ-2022-thesis.pdf
Description
Thesis PDF
Size
1.26 MB
Format
Adobe PDF
Checksum (MD5)
8ffa4c2ac0508d94ee1b9cf7a5532d72
Author(s)
Shayani, Joseph N.
Advisor(s)
Pathak, Parag
Agarwal, Nikhil
Date Issued
September 2022
Publisher
Massachusetts Institute of Technology
Abstract
This thesis contains three essays on the topic of quantifying the impact of interviews in a matching market. The first two essays are empirical and use novel preference and matching data from the Canadian Residency Matching Service (CaRMS), and the third essay presents a formal identification result. In the first essay, I measure the impact of interviews on employers' preferences, and in the second essay, I measure the impact of reducing interviews on match outcomes. Both essays require me to quantify employers' pre-interview information about their post-interview preferences, but employers observe information unobservable to the econometrician. To address this econometric challenge, I estimate a joint structural model of interview offers and post-interview ranks in which unobservables may be correlated across the two periods, and thereby I use the information contained in post-interview preferences to correct for employers' additional pre-interview information. The third essay presents a non-parametric identification result that formalizes the possibility of using selection (e.g., interview-offer) data and binary outcome (e.g., job-offer) data jointly to correct for the role of unobservable factors in selection.
MIT Department
Massachusetts Institute of Technology. Department of Economics
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