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Recruitment and retention incentives in health labour markets: an analysis of participation in NHS Scotland following Dental Vocational Training

Author

Listed:
  • Martin Chalkley
  • J. S. Rennie
  • Colin Tilley

Abstract

This paper uses a unique individual level administrative data set to analyse the participation of health professionals in the NHS after training. The data set contains information on over 1,000 dentists who received Dental Vocational Training in Scotland between 1995 and 2006. Using a dynamic nonlinear panel data model, we estimate the determinants of post-training participation. We ?nd there is signi?cant persistence in these data and are able to show that the persistence arises from state dependence and individual heterogeneity. This ?nding has implications for the structure of policies designed to increase participation rates. We apply this empirical framework to assess the accuracy of predictions for workforce forecasting, and to provide a preliminary estimate of the impact of one of the recruitment and retention policies available to dentists in Scotland.

Suggested Citation

  • Martin Chalkley & J. S. Rennie & Colin Tilley, 2008. "Recruitment and retention incentives in health labour markets: an analysis of participation in NHS Scotland following Dental Vocational Training," Dundee Discussion Papers in Economics 218, Economic Studies, University of Dundee.
    • Handle: RePEc:dun:dpaper:218
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    File URL: http://www.dundee.ac.uk/media/dundeewebsite/economicstudies/documents/discussion/DDPE_218.pdf
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    References listed on IDEAS

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    1. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    2. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "Simulation-based inference in dynamic panel probit models: An application to health," Empirical Economics, Springer, vol. 29(1), pages 49-77, January.
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    Keywords

    administrative data; labour markets; participation;
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