NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

Evan Riehl

Department of Economics
Cornell University
266 Ives Hall
Ithaca, NY 14853

E-Mail: EmailAddress: hidden: you can email any NBER-related person as first underscore last at nber dot org

NBER Working Papers and Publications

January 2017Learning and Earning: An Approximation to College Value Added in Two Dimensions
with Juan E. Saavedra, Miguel Urquiola
in Productivity in Higher Education, Caroline M. Hoxby and Kevin Stange, editors
This paper explores the implications of measuring college productivity in two different dimensions: earning and learning. We compute system-wide measures using administrative data from the country of Colombia that link social security records to students’ performance on a national college graduation exam. In each case we can control for individuals’ college entrance exam scores in an approach akin to teacher value added models. We present three main findings: 1) colleges’ earning and learning productivities are far from perfectly correlated, with private institutions receiving relatively higher rankings under earning measures than under learning measures; 2) earning measures are significantly more correlated with student socioeconomic status than learning measures; and 3) in terms of ranki...
October 2016Learning and Earning: An Approximation to College Value Added in Two Dimensions
with Juan E. Saavedra, Miguel Urquiola: w22725
This paper explores the implications of measuring college productivity in two different dimensions: earning and learning. We compute system-wide measures using administrative data from the country of Colombia that link social security records to students’ performance on a national college graduation exam. In each case we can control for individuals’ college entrance exam scores in an approach akin to teacher value added models. We present three main findings: 1) colleges’ earning and learning productivities are far from perfectly correlated, with private institutions receiving relatively higher rankings under earning measures than under learning measures; 2) earning measures are significantly more correlated with student socioeconomic status than learning measures; and 3) in terms of ranki...

Forthcoming: Learning and Earning: An Approximation to College Value Added in Two Dimensions, Evan Riehl, Juan E. Saavedra, Miguel Urquiola. in Productivity in Higher Education, Hoxby and Stange. 2017

June 2015The Big Sort: College Reputation and Labor Market Outcomes
with W. Bentley MacLeod, Juan E. Saavedra, Miguel Urquiola: w21230
Spence (1973) noted that individuals’ choice of educational quantity—measured by years of schooling—may stem partially from a desire to signal their ability to the labor market. This paper asks if individuals’ choice of educational quality—measured by college reputation—may likewise signal their ability. We use data on the admission scores of all Colombian college graduates to define a measure of reputation that gives clear predictions in a signaling framework. We find that college reputation, unlike years of schooling, is correlated with graduates’ earnings growth. We also show that Colombia’s staggered rollout of a new signal of skill—a college exit exam—reduced the earnings return to reputation and increased the return to individual admission scores. These results are consistent with th...

Published: W. Bentley MacLeod & Evan Riehl & Juan E. Saavedra & Miguel Urquiola, 2017. "The Big Sort: College Reputation and Labor Market Outcomes," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 223-261, July. citation courtesy of

 
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