Two-Sample Two-Stage Least Squares (TSTSLS) estimates of earnings mobility: how consistent are they?

  • John Jerrim Institute of Education, University College London
  • Álvaro Choi University of Barcelona and Barcelona Institute of Economics http://orcid.org/0000-0003-3394-0181
  • Rosa Simancas University of Extremadura
Keywords: Earnings mobility, two sample two stage least squares, imputation

Abstract

Academics and policymakers have shown great interest in cross-national comparisons of intergenerational earnings mobility. However, producing consistent and comparable estimates of earnings mobility is not a trivial task. In most countries researchers are unable to observe earnings information for two generations. They are thus forced to rely upon imputed data from different surveys instead. This paper builds upon previous work by considering the consistency of the intergenerational correlation (ρ) as well as the elasticity (β), how this changes when using a range of different instrumental (imputer) variables, and highlighting an important but infrequently discussed measurement issue. Our key finding is that, while TSTSLS estimates of β and ρ are both likely to be inconsistent, the magnitude of this problem is much greater for the former than it is for the latter. We conclude by offering advice on estimating earnings mobility using this methodology.

Author Biographies

John Jerrim, Institute of Education, University College London
Reader
Álvaro Choi, University of Barcelona and Barcelona Institute of Economics
Associate professor. Department of Public Economics, Political Economy and Spanish Economy
Rosa Simancas, University of Extremadura
Lecturer
Published
2016-08-15
How to Cite
Jerrim, J., Choi, Álvaro, & Simancas, R. (2016). Two-Sample Two-Stage Least Squares (TSTSLS) estimates of earnings mobility: how consistent are they?. Survey Research Methods, 10(2), 85-101. https://doi.org/10.18148/srm/2016.v10i2.6277
Section
Articles