Does Early Life Health Predict Schooling within Twin Pairs?

54 Pages Posted: 4 Jul 2011

See all articles by Petter Lundborg

Petter Lundborg

Tinbergen Institute; Lund University School of Economics and Management; IZA Institute of Labor Economics

Anton Nilsson

Aarhus University

Dan-Olof Rooth

University of Kalmar; IZA Institute of Labor Economics

Abstract

A large number of studies in labor economics estimate the returns to schooling using data on monozygotic twins, under the assumption that educational attainment is random within twin pairs. This exogeneity assumption has been commonly questioned, however, but there is to date little evidence on the topic. Using a large dataset of twins, including comprehensive information on their health status at the age of 18 and later educational attainment, we investigate whether educational attainment is related to early health status within monozygotic twin pairs. In general, we obtain no indication of this being so. As a result, we find little evidence that early health differences between twins would bias the estimates of the returns to schooling available in the literature.

Keywords: twins, twin-fixed effects, schooling, returns to schooling, ability bias, health

JEL Classification: I1, I2

Suggested Citation

Lundborg, Petter and Lundborg, Petter and Nilsson, Anton and Rooth, Dan-Olof, Does Early Life Health Predict Schooling within Twin Pairs?. IZA Discussion Paper No. 5803, Available at SSRN: https://ssrn.com/abstract=1877616 or http://dx.doi.org/10.2139/ssrn.1877616

Petter Lundborg (Contact Author)

Lund University School of Economics and Management ( email )

P.O Box 7080
Lund
Sweden

Tinbergen Institute ( email )

Burg. Oudlaan 50
Rotterdam, 3062 PA
Netherlands

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

Anton Nilsson

Aarhus University ( email )

Nordre Ringgade 1
DK-8000 Aarhus C, 8000
Denmark

Dan-Olof Rooth

University of Kalmar ( email )

Sweden

IZA Institute of Labor Economics

Schaumburg-Lippe-Str. 7 / 9
Bonn, D-53072
Germany

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