Matching in Markets with Information Frictions: Applications in Labor Markets and School Choice
Paper Session
Sunday, Jan. 3, 2021 12:15 PM - 2:15 PM (EST)
- Chair: Amanda Pallais, Harvard University
Evaluating School Choice Mechanism Changes
Abstract
This paper uses a policy change in New Haven, Connecticut to study how application behavior and student welfare in centralized school choice depend on the mechanism districts use to assign students to schools. In 2019, New Haven switched from an `Immediate Acceptance' (IA) algorithm to a `Deferred Acceptance' (DA) algorithm. The goal of this change was to simplify choice for households: while the IA mechanism rewards informed strategic play, the DA mechanism aims to make truthful preference reporting a dominant strategy. We use administrative and survey data from before and after the mechanism change to conduct three empirical exercises. We first describe how households updated their beliefs and changed their behavior following the change in assignment mechanism. We show that rates of strategic play decline after the mechanism change, but not to zero. Changes in play occur in spite of limited understanding of changes in mechanism rules. This suggests that the adoption of non-strategic or “unsophisticated†approaches to choice, rather than analysis of the rules of the new mechanism, may drive behavioral changes. Next, we explore how imperfect compliance with the switch to DA and unsophisticated play jointly impact the welfare comparison between IA and DA. We develop an empirical model of school choice that incorporates both features, and also allows for strategic play with potentially inaccurate beliefs about admissions chances. We estimate the model using data from before and after the mechanism change, and use it to evaluate the behavioral and welfare effects of the change. In the third section of the paper, we test the performance of empirical models of school choice by comparing the changes in application and placement outcomes predicted by our model and pre-specified models in Kapor, Neilson, and Zimmerman (forthcoming) against those observed in the data following the mechanism change.Discrimination in Hiring
Abstract
Using data on 36,949 newly-hired commission-based salespeople at a major U.S. retailer, we find that white, black and Hispanic managers within the same store are more likely to hire workers of their own race. This may be caused by managers' intrinsic taste for hiring same-race applicants (taste-based discrimination), or by their greater ability to screen same-race applicants (screening discrimination). We derive the testable implications of these models for the mean and variance of productivity and show that white and Hispanic hiring is consistent with the screening hypothesis. We find little evidence of complementarities between supervising (rather than hiring) managers or employee discrimination in this setting.Discussant(s)
Lisa B. Kahn
,
University of Rochester
Alex Rees-Jones
,
Cornell University
Aislinn Bohren
,
University of Pennsylvania
JEL Classifications
- M5 - Personnel Economics
- M1 - Business Administration