Misreported Schooling, Multiple Measures and Returns to Educational Qualifications

47 Pages Posted: 18 Feb 2012

See all articles by Erich Battistin

Erich Battistin

Institute for Fiscal Studies (IFS)

Michele De Nadai

University of Padova

Barbara Sianesi

Institute for Fiscal Studies (IFS); IZA Institute of Labor Economics

Abstract

We provide a number of contributions of policy, practical and methodological interest to the study of the returns to educational qualifications in the presence of misreporting. First, we provide the first reliable estimates of a highly policy relevant parameter for the UK, namely the return from attaining any academic qualification compared to leaving school at the minimum age without any formal qualification. Second, we provide the academic and policy community with estimates of the accuracy and misclassification patterns of commonly used types of data on educational attainment: administrative files, self-reported information close to the date of completion of the qualification, and recall information ten years after completion. We are in the unique position to assess the temporal patterns of misreporting errors across survey waves, and to decompose misreporting errors into a systematic component linked to individuals' persistent behaviour and into a transitory part reflecting random survey errors. Third, by using the unique nature of our data, we assess how the biases from measurement error and from omitted ability and family background variables interact in the estimation of returns. On the methodological front, we propose a semi-parametric estimation approach based on balancing scores and mixture models, in particular allowing for arbitrarily heterogeneous individual returns.

Keywords: misclassification, mixture models, returns to educational qualifications, treatment effects

JEL Classification: C10, I20, J31

Suggested Citation

Battistin, Erich and De Nadai, Michele and Sianesi, Barbara, Misreported Schooling, Multiple Measures and Returns to Educational Qualifications. IZA Discussion Paper No. 6337, Available at SSRN: https://ssrn.com/abstract=2007328

Erich Battistin (Contact Author)

Institute for Fiscal Studies (IFS) ( email )

7 Ridgmount Street
London, WC1E 7AE
United Kingdom

Michele De Nadai

University of Padova ( email )

Barbara Sianesi

Institute for Fiscal Studies (IFS) ( email )

7 Ridgmount Street
London, WC1E 7AE
United Kingdom

IZA Institute of Labor Economics

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

HOME PAGE: http://www.iza.org/

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