My da|ra Login

Detailed view

metadata language: English

Replication data for: Regression Discontinuity in Serial Dictatorship: Achievement Effects at Chicago's Exam Schools

Version
1
Resource Type
Dataset
Creator
  • Abdulkadroǧlu, Atila
  • Angrist, Joshua D.
  • Narita, Yusuke
  • Pathak, Parag A.
  • Zarate, Roman A.
Publication Date
2017-05-01
Description
  • Abstract

    Many school and college admission systems use centralized mechanisms to allocate seats based on applicant preferences and school priorities. When tie-breaking uses non-randomly assigned criteria like distance or a test score, applicants with the same preferences and priorities are not directly comparable. The non-lottery setting does generate a kind of local random assignment that opens the door to regression discontinuity designs. This paper introduces a hybrid RD/propensity score empirical strategy that exploits quasi-experiments embedded in serial dictatorship, a mechanism widely used for college and selective K-12 school admissions. We use our approach to estimate achievement effects of Chicago's exam schools.
Availability
Download
Relations
  • Is supplement to
    DOI: 10.1257/aer.p20171111 (Text)
Publications
  • AbdulkadIroglu, Atila, Joshua D. Angrist, Yusuke Narita, Parag A. Pathak, and Roman A. Zarate. “Regression Discontinuity in Serial Dictatorship: Achievement Effects at Chicago’s Exam Schools.” American Economic Review 107, no. 5 (May 2017): 240–45. https://doi.org/10.1257/aer.p20171111.
    • ID: 10.1257/aer.p20171111 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-12-21

Abdulkadroǧlu, Atila; Angrist, Joshua D.; Narita, Yusuke; Pathak, Parag A.; Zarate, Roman A. (2017): Replication data for: Regression Discontinuity in Serial Dictatorship: Achievement Effects at Chicago's Exam Schools. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113531V1-21361