Image from Google Jackets

From Natural Variation to Optimal Policy? The Lucas Critique Meets Peer Effects / Scott E. Carrell, Bruce I. Sacerdote, James E. West.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w16865.Publication details: Cambridge, Mass. National Bureau of Economic Research 2011.Description: 1 online resource: illustrations (black and white)Subject(s): Online resources: Available additional physical forms:
  • Hardcopy version available to institutional subscribers
Abstract: We take cohorts of entering freshmen at the United States Air Force Academy and assign half to peer groups with the goal of maximizing the academic performance of the lowest ability students. Our assignment algorithm uses peer effects estimates from the observational data. We find a negative and significant treatment effect for the students we intended to help. We show that within our "optimal" peer groups, students self-selected into bifurcated sub-groups with social dynamics entirely different from those in the observational data. Our results suggest that using reduced-form estimates to make out-of-sample policy predictions can lead to unanticipated outcomes.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Home library Collection Call number Status Date due Barcode Item holds
Working Paper Biblioteca Digital Colección NBER nber w16865 (Browse shelf(Opens below)) Not For Loan
Total holds: 0

March 2011.

We take cohorts of entering freshmen at the United States Air Force Academy and assign half to peer groups with the goal of maximizing the academic performance of the lowest ability students. Our assignment algorithm uses peer effects estimates from the observational data. We find a negative and significant treatment effect for the students we intended to help. We show that within our "optimal" peer groups, students self-selected into bifurcated sub-groups with social dynamics entirely different from those in the observational data. Our results suggest that using reduced-form estimates to make out-of-sample policy predictions can lead to unanticipated outcomes.

Hardcopy version available to institutional subscribers

System requirements: Adobe [Acrobat] Reader required for PDF files.

Mode of access: World Wide Web.

Print version record

There are no comments on this title.

to post a comment.

Powered by Koha