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Clustering Educational Categories in a Heterogeneous Labour Market

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  • Hans Heijke
  • Astrid Matheeuwsen
  • Ed Willems

Abstract

In most countries, the systems of educational classification are based on administrative criteria. For analyses of the labour-market position of educational categories, however, a classification that demarcates an individual's competencies obtained by the courses attended is a better alternative. In the present paper, we will analyse the substitution processes in the labour market in order to develop an educational classification that is based on the observed possibilities of workers with different educational backgrounds to enter similar occupations. As an additional criterion, we use the recognizability of the groups distinguished. In addition, we incorporate the criterion of statistical reliability. This results in an educational classification with 113 distinct categories.

Suggested Citation

  • Hans Heijke & Astrid Matheeuwsen & Ed Willems, 2003. "Clustering Educational Categories in a Heterogeneous Labour Market," Education Economics, Taylor & Francis Journals, vol. 11(1), pages 89-108.
    • Handle: RePEc:taf:edecon:v:11:y:2003:i:1:p:89-108
    DOI: 10.1080/09645290210127543
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    Cited by:

    1. Cörvers, F. & Dupuy, A. & Dijksman, S. & Golsteyn, B.H.H. & Kriechel, B. & Montizaan, R.M., 2010. "Methodik Arbeitsmarktprognoses und -indikatoren 2005-2010," ROA Technical Report 001, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    2. Willems, E., 1999. "Modelling replacement demand: a random coefficient approach," ROA Research Memorandum 2E, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    3. Dupuy Arnaud, 2005. "An evaluation of labour market forecasts by type of education and occupation for 2002," ROA Working Paper 002, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    4. Dupuy, A., 2009. "An evaluation of the forecast of the indicator of the labour market gap," ROA Technical Report 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    5. Fouarge, Didier & Kriechel, Ben & Dohmen, Thomas, 2014. "Occupational sorting of school graduates: The role of economic preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 106(C), pages 335-351.
    6. Dupuy, A., 2005. "An evaluation of labour market forecasts by type of education and occupation for 2002," ROA Working Paper 1E, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    7. Willems E, 1999. "Modelling Replacement Demand: A Random Coefficient Approach," ROA Research Memorandum 002, Maastricht University, Research Centre for Education and the Labour Market (ROA).

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