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It takes three to tango in employment: Matching vocational education organisations, students and companies in labour market

  • Mika Maliranta

    ()

    (The Research Institute of the Finnish Economy (ETLA))

  • Satu Nurmi

    (Statistics Finland)

  • Hanna Virtanen

    (The Research Institute of the Finnish Economy (ETLA))

We examine the determinants of labour market status after the initial vocational basic education (ISCED 3) by use of unique linked register data on students, their parents, teachers, educational organisations and business companies in Finland. We distinguish between four outcomes: 1) employment 2) further studies 3) non-employment and 4) drop-out. The explanatory factors are classified into three main groups: the characteristics of 1) the educational organisation and their institutions, 2) the students and 3) the local business conditions. Teaching expenditures do not matter but teachers’ skills do. Parental background plays a central role. Local business development matters for boys.

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File URL: http://repec.business.uzh.ch/RePEc/iso/leadinghouse/0022_lhwpaper.pdf
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Paper provided by University of Zurich, Institute for Strategy and Business Economics (ISU) in its series Economics of Education Working Paper Series with number 0022.

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Length: 40 pages
Date of creation: May 2008
Date of revision:
Handle: RePEc:iso:educat:0022
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  1. Alan B. Krueger & Mikael Lindahl, 2000. "Education for Growth: Why and For Whom?," NBER Working Papers 7591, National Bureau of Economic Research, Inc.
  2. Alan B. Krueger, 1997. "Experimental Estimates of Education Production Functions," NBER Working Papers 6051, National Bureau of Economic Research, Inc.
  3. Andreas Hornstein & Per Krussell & Giovanni L. Violante, 2004. "The effects of technical change on labor market inequalities," Working Paper 04-08, Federal Reserve Bank of Richmond.
  4. Maliranta, Mika & Nurmi, Satu, 2004. "Do Foreign Players Change the Nature of the Game Among Local Entrepreneurs?," Discussion Papers 942, The Research Institute of the Finnish Economy.
  5. Ilmakunnas, Pekka & Maliranta, Mika, 2007. "Aging, Labor Turnover and Firm Performance," Discussion Papers 1092, The Research Institute of the Finnish Economy.
  6. Caroline M. Hoxby, 2000. "The Effects Of Class Size On Student Achievement: New Evidence From Population Variation," The Quarterly Journal of Economics, MIT Press, vol. 115(4), pages 1239-1285, November.
  7. Dinand Webbink, 2005. "Causal Effects in Education," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 535-560, 09.
  8. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-77, September.
  9. Dustmann, Christian & Rajah, Najma & van Soest, Arthur, 2002. "Class Size, Education and Wages," CEPR Discussion Papers 3397, C.E.P.R. Discussion Papers.
  10. Virtanen, Hanna, . "Tulosrahoitusmittariston arviointi - Palkkiomuotoinen tulosrahoitus ammatillisessa peruskoulutuksessa," ETLA B, The Research Institute of the Finnish Economy, number 222.
  11. Hakkinen, Iida & Kirjavainen, Tanja & Uusitalo, Roope, 2003. "School resources and student achievement revisited: new evidence from panel data," Economics of Education Review, Elsevier, vol. 22(3), pages 329-335, June.
  12. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, November.
  13. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule To Estimate The Effect Of Class Size On Scholastic Achievement," The Quarterly Journal of Economics, MIT Press, vol. 114(2), pages 533-575, May.
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