Image from Google Jackets

Group-Average Observables as Controls for Sorting on Unobservables When Estimating Group Treatment Effects: the Case of School and Neighborhood Effects / Joseph G. Altonji, Richard K. Mansfield.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w20781.Publication details: Cambridge, Mass. National Bureau of Economic Research 2014.Description: 1 online resource: illustrations (black and white)Subject(s): Online resources: Available additional physical forms:
  • Hardcopy version available to institutional subscribers
Abstract: We consider the classic problem of estimating group treatment effects when individuals sort based on observed and unobserved characteristics that affect the outcome. Using a standard choice model, we show that controlling for group averages of observed individual characteristics potentially absorbs all the across-group variation in unobservable individual characteristics. We use this insight to bound the treatment effect variance of school systems and associated neighborhoods for various outcomes. Across four datasets, our most conservative estimates indicate that a 90th versus 10th percentile school system increases the high school graduation probability by between 0.047 and 0.085 and increases the college enrollment probability by between 0.11 and 0.13. We also find large effects on adult earnings. We discuss a number of other applications of our methodology, including measurement of teacher value-added.
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 w20781 (Browse shelf(Opens below)) Not For Loan
Total holds: 0

December 2014.

We consider the classic problem of estimating group treatment effects when individuals sort based on observed and unobserved characteristics that affect the outcome. Using a standard choice model, we show that controlling for group averages of observed individual characteristics potentially absorbs all the across-group variation in unobservable individual characteristics. We use this insight to bound the treatment effect variance of school systems and associated neighborhoods for various outcomes. Across four datasets, our most conservative estimates indicate that a 90th versus 10th percentile school system increases the high school graduation probability by between 0.047 and 0.085 and increases the college enrollment probability by between 0.11 and 0.13. We also find large effects on adult earnings. We discuss a number of other applications of our methodology, including measurement of teacher value-added.

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