Estimating marginal returns to higher education in the UK

Estimating marginal returns to higher educati ...
Robert Moffitt, Robert Moffitt
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Last edited by WorkBot
December 15, 2009 | History

Estimating marginal returns to higher education in the UK

A long-standing issue in the literature on education is whether marginal returns to education fall as education rises. If the population differs in its rate of return, a closely related question is whether marginal returns to higher education fall as a greater fraction of the population enrolls. This paper proposes a nonparametric method of estimating marginal treatment effects in heterogeneous populations, and applies it to this question, examining returns to higher education in the UK. The results indicate that marginal returns to higher education fall as the proportion of the population with higher education rises, consistent with the Becker Woytinsky Lecture hypothesis.

Publish Date
Language
English
Pages
25

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Edition Availability
Cover of: Estimating marginal returns to higher education in the uk
Estimating marginal returns to higher education in the uk
2007, National Bureau of Economic Research
electronic resource / in English
Cover of: Estimating marginal returns to higher education in the UK
Estimating marginal returns to higher education in the UK
2007, National Bureau of Economic Research
in English

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Book Details


Edition Notes

"October 2007"

Includes bibliographical references (p. 24-25).

Also available in PDF from the NBER World Wide Web site (www.nber.org).

Published in
Cambridge, Mass
Series
NBER working paper series -- no. 13534., Working paper series (National Bureau of Economic Research) -- working paper no. 13534.

The Physical Object

Pagination
25, [14] p. :
Number of pages
25

ID Numbers

Open Library
OL17635957M
OCLC/WorldCat
181655091

Source records

Oregon Libraries MARC record

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December 15, 2009 Edited by WorkBot link works
April 25, 2009 Edited by ImportBot add OCLC number
September 29, 2008 Created by ImportBot Imported from Oregon Libraries MARC record