Recruitment and retention incentives in health labour markets: an analysis of participation in NHS Scotland following Dental Vocational Training
AbstractThis 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.
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Bibliographic InfoPaper provided by Economic Studies, University of Dundee in its series Dundee Discussion Papers in Economics with number 218.
Length: 12 pages
Date of creation: May 2008
Date of revision:
administrative data; labour markets; participation;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-09-29 (All new papers)
- NEP-HEA-2008-09-29 (Health Economics)
- NEP-LAB-2008-09-29 (Labour Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2002.
"Simulation-based Inference in Dynamic Panel Probit Models: an Application to Health,"
Department of Economics Working Papers
2002-12, McMaster University.
- 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.
- Hsiao,Cheng, 2003.
"Analysis of Panel Data,"
Cambridge University Press, number 9780521522717.
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