Employment and Technological Change

  • Reinhard Hujer
  • Dubravko Radić
Part of the Dynamic Modeling and Econometrics in Economics and Finance book series (DMEF, volume 4)


The structure of employment and wages has changed considerably during the last decades in most of the OECD countries. While the United States and the United Kingdom are confronted with an increasing wage inequality, most of the European countries suffer from high unemployment rates.


Technological Change Product Innovation Employment Effect Employment Share Skilled Employee 


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  1. Layard, R. and Nickeil, S.J. (1986). Unemployment in Britain. Economica, 53, 121–170.CrossRefGoogle Scholar
  2. Bell, B. D. (1996). Skill-biased technical change and wages: Evidence from a longitudinal data set. Discussion paper, Institute of Economics & Statistics, University of Oxford.Google Scholar
  3. Bellmann, L. (1997). Das betriebspanel des iab. In Hujer, R., Rendtel, U., and Wagner, G., editors, Wirtschafts- und sozialwissenschaftliche Panel-Studien, pages 169–182. Vandenhoeck und Ruprecht.Google Scholar
  4. Bellmann, L. and Kölling, A. (2000). The iab-establishment panel as an instrument for scientific research. Paper prepared for the Ninth International Conference on Panel Data, June 22th — 23th, Geneva, Switzerland.Google Scholar
  5. Berman, E., B. J. and Griliches, Z. (1994). Changes in the demand for skilled labor within u.s. manufacturing: Evidence from the annual survey of manufactures. Quarterly Journal of Economics, pages 367–397.Google Scholar
  6. Berman, E., Bound, J., and Machin, S. (1998). Implications of skill-biased technological change: International evidence. Quarterly Journal of Economics, pages 1245–1279.Google Scholar
  7. Blechinger, D. and Pfeiffer, F. (1998). Qualifikation, beschäftigung und technischer fortschritt: Weitere empirische evidenz mit den daten des mannheimer innovationspanels. Discussion Paper 98–04, ZEW, Mannheim.Google Scholar
  8. Blundell, R. W. and Smith, R. J. (1993). Simultaneous microeconometric models with censored or qualitative dependent variables. Handbook of Statistics, 11:117–143.CrossRefGoogle Scholar
  9. Blundell, R. W. and Smith, R. J. (1994). Coherency and estimation in simultaneous models with censored or qualitative dependent variables. Journal of Econometrics, 64:355–373.CrossRefGoogle Scholar
  10. Bresnahan, T. F., Brynjolfsson, E., and Hitt, L. (1999). Information technology workplace organization, and the demand for skilled labor: Firm-level evidence. Working Paper 7136, NBER, Cambridge.Google Scholar
  11. Card, D. and DiNardo, J. E. (2002). Skill biased technological change and rising wage inequality: Some problems and puzzels. Working Paper 8769, NBER, Cambridge.Google Scholar
  12. Caroli, E. and Reenen, J. V. (2001). Skill biased organizational change? evidence from a panel of british and french establishments. Research Unit Working Paper 00-06, LEA-INRA.Google Scholar
  13. Davidson, R. and MacKinnon, J. G. (1981). Several tests for model specification in the presence of alternative hypotheses. Econometrica, 49(3):781–793.CrossRefGoogle Scholar
  14. Falk, M. (1999). Technological innovations and the expected demand for skilled labour at the firm level. Discussion Paper 99–59, ZEW, Mannheim, Germany.Google Scholar
  15. Falk, M. and Koebel, B. (1998). Determinanten der qualifikatorischen arbeitsnachfrage in der westdeutschen industrie 1978 – 90: Fue-intensive versus nicht fue-intensive industrien. In Pfeiffer, F. and Pohlmeier, W., editors, Qualifikation, Weiterbildung und Arbeitsmarkterfolg, pages 339–373. ZEW Wirtschaftsanalysen.Google Scholar
  16. Falk, M. and Seim, K. (1999). The impact of information technology on high-skilled labour in services: Evidence from firm level panel data. Discussion Paper 58, ZEW.Google Scholar
  17. Fitzenberger, B. (1997). Außenhandel technischer fortschritt und arbeitsmarkt in Westdeutschland von 1975 bis 1990. MittAB, 3:642–651.Google Scholar
  18. Galhardi, R. M. (1999). The impact of trade and technology on the skill profile in brazil and the republic of korea. Working Paper 40, Employment and Training Department, International Labour Office Geneva.Google Scholar
  19. Hamermesh, D. S. (1986). The demand for labor in the long run. In Ashenfelter, O., editor, Handbook of Labor Economics. Elsevier Science, Amsterdam.Google Scholar
  20. Hamermesh, D. S. (1993). Labor Demand. Princeton University Press.Google Scholar
  21. Kaiser, U. (1998). The impact of new technologies on the demand for heterogenous labour: Empirical evidence from the germon business related services sector. Discussion Paper 98–26, ZEW, Mannheim.Google Scholar
  22. Katsoulacos, Y. S. (1986). The Employment Effect of Technical Change. University of Nebraska Press.Google Scholar
  23. Rolling, A. (2000). The iab-establishment panel. Schmollers Jahrbuch, 120:291–300.Google Scholar
  24. Krueger, A. B. (1993). How computers have changed the wage structure: Evidence from microdata, 1984–1989. Quarterly Journal of Economics, 108(1):33–60.CrossRefGoogle Scholar
  25. Kugler, P., Müller, U., and Sheldon, G. (1989). Struktur der arbeitsnachfrage im technologischen wandet — eine empirische analyse für die brd. Discussion paper PLI 1338.4, Bundesministerium für Forschung und Technologie, Germany.Google Scholar
  26. Küsters, U. (1987). Hierarchische Mittelwert- und Kovarianzstrukturmodelle mit nichtmetrischen endogenen Variablen, volume 31. Physica-Verlag, Heidelberg.CrossRefGoogle Scholar
  27. Lee, L.-F. (1990). Simultaneous equations models with discrete endogenous variables. Discussion paper.Google Scholar
  28. Levy, F. and Murnane, R. (1996). With skills are computers a complement. Discussion paper 2, American Economic Association, AEA, Papers and Proceedings.Google Scholar
  29. Lopez-Acevedo, G. (2002). Technology and skill demand in mexico. Discussion paper, World Bank, New York.Google Scholar
  30. Murphy, K. M., Riddell, W. C., and Romer, P. M. (1998). Wages, skills, and technology in the united states and canada. Discussion Paper 6638, NBER, Cambridge.Google Scholar
  31. Nelson, F. and Olson, L. (1978). Specification and estimation of a simultaneous-equation model with limited dependent variables. International Economic Review, 19(3):695–709.CrossRefGoogle Scholar
  32. Olson, L. (1979). Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika, 44(4):443–460.CrossRefGoogle Scholar
  33. Paqué, K.-H. (1998). Internationaler handel, technischer fortschritt und lohn-differenzierung. Verteilungsprobleme der Gegenwart: Diagnose und Therapie. Mohr-Siebeck.Google Scholar
  34. Snower, D. J. (1999). Causes of changing earnings inequality. Discussion Paper 29, IZA.Google Scholar
  35. Wood, A. (1995). How trade hurt unskilled workers. The Journal of Economic Perspectives, 9(3):57–80.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Reinhard Hujer
    • 1
  • Dubravko Radić
    • 1
  1. 1.Lehrstuhl für Statistik und ÖkonometrieJohann Wolfgang-Goethe UniversitätFrankfurt am MainGermany

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