Empirical Economics

, Volume 51, Issue 2, pp 737–762 | Cite as

The effect of lifelong learning on men’s wages

  • Richard Dorsett
  • Silvia Lui
  • Martin WealeEmail author


This paper develops a model of earnings and applies this to an examination of the effect of lifelong learning on men’s wages. Using data from the British Household Panel Survey, a variant of the mover–stayer model is developed in which hourly wages are either taken from a stationary distribution (movers) or closely related to the hourly wage one year earlier (stayers). Mover–stayer status is not observed, and we therefore model wages using an endogenous switching regression, estimated by maximum likelihood. Methodologically, the results support the mover–stayer characterisation since the restrictions required for the simpler specifications popular in the literature are rejected. Substantively, simulation of the estimated model shows some statistically significant effects from acquiring qualifications of a higher level than those previously held, but not from acquiring qualifications of the same level.


Lifelong learning Returns to education Switching regression  Wage dynamics 

JEL Classification

C33 C35 I20 J24 J31 J63 


  1. Blanden J, Buscha F, Sturgis P, Urwin P (2012) Measuring the returns to lifelong learning. Econ Educ Rev 31:501–514CrossRefGoogle Scholar
  2. Cappellari L, Jenkins S (2008) Estimating low pay transition probabilities accounting for endogenous selection mechanisms. J R Stat Soc Ser C 57:165–186CrossRefGoogle Scholar
  3. de Coulon A, Vignoles A (2008) An Analysis of the Benefit of NVQ2 Qualifications acquired at Age 26–34. In: Centre for the economics of education discussion paper No. 106Google Scholar
  4. Dickens R (2000) The evolution of individual male earnings in Great Britain: 1975–95. Econ J 110:27–49CrossRefGoogle Scholar
  5. Dickson M (2013) The causal effect of education on wages revisited. Oxf Bull Econ Stat 75:477–498CrossRefGoogle Scholar
  6. Dutta J, Sefton J, Weale M (2001) Income distribution and income dynamics in the United Kingdom. J Appl Econ 16:599–616CrossRefGoogle Scholar
  7. Egerton M, Parry G (2001) Lifelong debt: rates of return to lifelong learning. High Educ Q 55:4–27CrossRefGoogle Scholar
  8. Evans K, Schoon I, Weale MR (2013) Can lifelong learning reshape life chances. Br J Educ Stud 61:25–47CrossRefGoogle Scholar
  9. Ferrer A, Menendez A (2014) The puzzling effect of delaying schooling on canadian wages. Can Public Policy 40:197–208CrossRefGoogle Scholar
  10. Fitzgerald J, Gottschalk P, Moffitt R (1998) An analysis of sample attrition in panel data: the Michigan Panel Study of Income Dynamics. J Hum Resour 33:251–299CrossRefGoogle Scholar
  11. Goodman L (1961) Statistical methods for the mover-stayer model. J Am Stat Assoc 56:841–868CrossRefGoogle Scholar
  12. Higher Education Statistics Agency (1995) Students in Higher Education Institutions, pp 1994-1995Google Scholar
  13. Higher Education Statistics Agency (2008) Students in Higher Education Institutions, pp 2007–2008Google Scholar
  14. Holmlund B, Liu Q, Skans O (2008) Mind the gap? Estimating the effects of postponing higher education. Oxf Econ Pap 60:683–710CrossRefGoogle Scholar
  15. Jenkins A, Vignoles A, Wolf A, Galindo-Rueda F (2002) The determinants and effects of lifelong learning. Appl Econ 35:1711–1721CrossRefGoogle Scholar
  16. Light A (1995) The effect of interrupted schooling on wages. J Hum Resour 30:472–502CrossRefGoogle Scholar
  17. Lillard E, Willis R (1978) Dynamic aspects of earnings mobility. Econometrica 46:985–1012CrossRefGoogle Scholar
  18. Maddala G (1983) Limited-dependent and qualitative variables. Cambridge University Press, New YorkCrossRefGoogle Scholar
  19. Meghir C, Pistaferri L (2004) Income variance dynamics and heterogeneity. Econometrica 72:1–32CrossRefGoogle Scholar
  20. OECD (2009) Education today 2009: the OECD perspective, Organisation for Economic Co-operation and DevelopmentGoogle Scholar
  21. Purcell K, Wilton N, Elias P (2007) Hard lessons for lifelong learners? age and experience in the graduate labour market’. High Educ Q 61:57–82CrossRefGoogle Scholar
  22. Quandt R (1958) The estimation of parameters of a linear regression obeying two different regimes. J Am Stat Assoc 53:873–880CrossRefGoogle Scholar
  23. Ramos D (2003) The covariance structure of earnings in Great Britain. Economica 70:353–374CrossRefGoogle Scholar
  24. Ulrick S (2008) Using semi-parametric methods in an analysis of earnings mobility. Econ J 11:478–498Google Scholar
  25. UNESCO Institute for Lifelong Learning (2009) In: Global report on adult learning and education, 2009.

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.National Institute of Economic and Social ResearchLondonUK
  2. 2.Rijksuniversitet GroningenGroningenThe Netherlands
  3. 3.Queen Mary University of LondonLondonUK

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