Innovation and Employment: Evidence from Italian Microdata
The microeconomic empirical literature devoted to the link between innovation and employment tends to suggest that technological change has a positive effect on jobs, at least at the level of the firm. The main purpose of this paper is to see whether this result still holds in a situation where intermediate technologies are implemented mainly through gross innovative investments, as in Italian manufacturing. Applying GMM-SYS to an employment equation augmented for technology and using a unique longitudinal dataset of 575 Italian manufacturing firms over the period 1992-1997, this paper finds a significant - although small in size - positive relationship between innovation and employment. While the links with sales and wages have the expected signs and turn out to be significant, the job creating impact of innovation proves robust after checking for time, industry, firm's size and geographical fixed effects.
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Volume (Year): 86 (2005)
Issue (Month): 1 (October)
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References listed on IDEAS
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- David Blanchflower & Simon Burgess, 1998.
"New Technology And Jobs: Comparative Evidence From A Two Country Study,"
Economics of Innovation and New Technology,
Taylor & Francis Journals, vol. 5(2-4), pages 109-138.
- David Blanchflower & Simon Burgess, 1996. "New Technology and Jobs: Comparative Evidence from a Two Country Study," CEP Discussion Papers dp0285, Centre for Economic Performance, LSE.
- Brouwer, Erik & Kleinknecht, Alfred & Reijnen, Jeroen O N, 1993. "Employment Growth and Innovation at the Firm Level," Journal of Evolutionary Economics, Springer, vol. 3(2), pages 153-59, May.
- Manuel Arellano & Stephen Bond, 1991.
"Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,"
Review of Economic Studies,
Oxford University Press, vol. 58(2), pages 277-297.
- Tom Doan, . "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- Van Reenen, John, 1997. "Employment and Technological Innovation: Evidence from U.K. Manufacturing Firms," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 255-84, April.
- Z, Griliches & Jacques Mairesse, 1997.
"Production Functions : The Search for Identification,"
97-30, Centre de Recherche en Economie et Statistique.
- Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," Harvard Institute of Economic Research Working Papers 1719, Harvard - Institute of Economic Research.
- Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
- Richard Blundell & Steve Bond, 1999.
"GMM estimation with persistent panel data: an application to production functions,"
IFS Working Papers
W99/04, Institute for Fiscal Studies.
- Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
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