The economic development and technological progress of a region are highly dependent on the accumulation and diffusion of knowledge. There are numerous channels through which knowledge might be transmitted. In this study, it is assumed that regional mobility of highly educated and innovative intensive workers between firms, organisations or institutions secures the diffusion and circulation of the knowledge. Hence, this analysis will concentrate on the regional job flows of individuals working in the high technology sector. The main topics of interest are: (1) to analyse the personal and household characteristics of the typical highly educated migrants within high technology sector, and (2) to evaluate the rate of labour turnover in different sub-sectors and regions. The empirical analysis of the paper is based on data from the Finnish Longitudinal Census File. Methodologically, the worker flows between regions are modelled by the maximum likelihood estimation which employs cross-sectional binary logit model, based on logistic distribution.
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Paper provided by European Regional Science Association in its series ERSA conference papers with number
ersa05p279.
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.:
Barro, Robert J & Sala-i-Martin, Xavier, 1992.
"Convergence,"
Journal of Political Economy,
University of Chicago Press, vol. 100(2), pages 223-51, April.
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