In this article a skill-based measure for human capital specificity will be constructed. This measure is based on the possibilities of making use of skills on labour market and it depends on the number of jobs where the particular skill is required. It is assumed that the specificity of human capital depends on the specificity of skills. In order to calculate the levels of specificity of different skills empirically, the data from the skill requirements of vacant jobs are used. The validity of this measure is tested by using it as an estimator of the probability that on-the-job training is offered to employees. The differences in the specificity of required human capital between different industries and occupations are also investigated in this paper. The proposed job specificity measure can be used for planning the public sector support to on-the-job training as the companies’ decisions to pay for training depend on the specificity of required human capital.
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Paper provided by School of Economics and Business Administration, Tallinn University of Technology in its series Working Papers with number
134.
Length: 17 Date of creation: 2005 Date of revision: Publication status: Published in Working Papers in Economics, School of Economics and Business Administration,Tallinn University of Technology (TUTWPE), Volume 17, Pages 21-37 Handle: RePEc:ttu:wpaper:134
Find related papers by JEL classification: J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity M53 - Business Administration and Business Economics; Marketing; Accounting - - Personnel Economics - - - Training
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References listed on IDEAS 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.:
Gueorgui Kambourov & Iourii Manovskii, 2009.
"Occupational Specificity Of Human Capital,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(1), pages 63-115, 02.
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