Working Paper No. 494

On Omitted Variable Bias and Measurement Error in Returns to Schooling Estimates

Published: February, 1998Pages: 19Keywords: Missing data, Proxy variables, Measurement error, Partial correlations, SimulationsJEL-codes: C13, C20, J31

On Omitted Variable Bias and Measurement Error in Returns to Schooling Estimates Erik Mellander


Lam and Schoeni (1993) consider an equation where earnings are explained by schooling and ability. They assume that ability data are lacking and that schooling is measured with error. The estimate obtained by regressing earnings on schooling thus contains omitted variable bias (OVB), which is positive, and measurement error bias (MEB), which is negative. Adding a family background variable to proxy for ability is claimed to: i) decrease the OVB towards, but not below, zero and ii) make the MEB even more negative. This note claims that while ii) is true, even in the context of multiple family background variables, i) is in general incorrect. The OVB may increase in magnitude and/or change sign. Conditions are provided under which i) holds. A simulation procedure is suggested that will yield consistent estimates of the total bias and its components, conditional upon values on the true return and the measurement error variance.

An Agenda for Europe

Institutional Reform for Innovation and Entrepreneurship

Omslag 2017 Institutional Reform for Innovation and Entrepreneurship.jpg

The authors of this book, Niklas Elert, Magnus Henrekson and Mikael Stenkula, advise the economies of the European Union to become more entrepreneurial in promoting innovation and economic growth. The authors propose a reform strategy with respect to several aspects to achieve this goal.

Events

Seminars organized by IFN

 

To present ongoing research informal brown-bag seminars are held on Mondays at 11:30 am. This is an opportunity for IFN researchers to test ideas and results.

Academically oriented seminars are most of the time held on Wednesdays at 10 am. At these events researchers from IFN and other institutions present their research.

In addition, IFN organizes seminars open to the public. Topics for these are derived from the IFN research.

Research Institute of Industrial Economics, Grevgatan 34 - 2 fl, Box 55665, SE-102 15 Stockholm, Sweden | Phone: +46-(0)8-665 45 00 | info@ifn.se