IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Effects of innovation on employment: A dynamic panel analysis

  • Lachenmaier, Stefan
  • Rottmann, Horst

This paper estimates the effect of innovation on employment at the firm level. Our uniquely long innovation panel data set of German manufacturing firms covers more than 20 years and allows us to use various innovation measures. We can distinguish between product and process innovations as well as between innovation input and innovation output measures. Using dynamic panel GMM system estimation we find positive effects of innovation on employment. This is true for innovation input as well as for innovation output variables. Innovations show their positive effect on employment with a time lag and process innovations have higher effects than product innovations.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B6V8P-525YXSK-1/2/f277d65b90e2c4371aae5d96f5f1f05d
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal International Journal of Industrial Organization.

Volume (Year): 29 (2011)
Issue (Month): 2 (March)
Pages: 210-220

as
in new window

Handle: RePEc:eee:indorg:v:29:y:2011:i:2:p:210-220
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505551

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.:

as in new window
  1. Stefan Lachenmaier & Ludger Woessmann, 2004. "Does Innovation Cause Exports? Evidence from Exogenous Innovation Impulses and Obstacles," CESifo Working Paper Series 1178, CESifo Group Munich.
  2. Harrison, Rupert & Jaumandreu, Jordi & Mairesse, Jacques & Peters, Bettina, 2005. "Does innovation stimulate employment? A firm-level analysis using comparable micro data on four European countries," MPRA Paper 1245, University Library of Munich, Germany.
  3. Mariacristina Piva & Marco Vivarelli, 2005. "Innovation and Employment: Evidence from Italian Microdata," Journal of Economics, Springer, vol. 86(1), pages 65-83, October.
  4. Mariacristina Piva & Marco Vivarelli, 2004. "Technological change and employment: some micro evidence from Italy," Applied Economics Letters, Taylor & Francis Journals, vol. 11(6), pages 373-376.
  5. Stefan Lachenmaier; Ludger Woessmann, 2004. "Does Innovation Cause Exports? Evidence from Exogenous Innovation Impulses and Obstacles Using German Micro Data," Econometric Society 2004 Australasian Meetings 200, Econometric Society.
  6. Stefan Lachenmaier & Horst Rottmann, 2007. "Employment Effects of Innovation at the Firm Level," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 227(3), pages 254-272, June.
  7. 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.
  8. 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.
  9. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  10. Peters, Bettina, 2004. "Employment Effects of Different Innovation Activities: Microeconometric Evidence," ZEW Discussion Papers 04-73, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  11. Harrison, Rupert & Jaumandreu, Jordi & Mairesse, Jacques & Peters, Bettina, 2014. "Does innovation stimulate employment? A firm-level analysis using comparable micro-data from four European countries," International Journal of Industrial Organization, Elsevier, vol. 35(C), pages 29-43.
  12. 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.
  13. repec:cup:cbooks:9780521522717 is not listed on IDEAS
  14. Steve Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  15. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
  16. Petit, Pascal, 1993. "Employment and technical change," CEPREMAP Working Papers (Couverture Orange) 9330, CEPREMAP.
  17. Richard Blundell & Steve Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
  18. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
  19. repec:ner:tilbur:urn:nbn:nl:ui:12-5662246 is not listed on IDEAS
  20. Smolny, Werner, 1998. "Innovations, Prices and Employment: A Theoretical Model and an Empirical Application for West German Manufacturing Firms," Journal of Industrial Economics, Wiley Blackwell, vol. 46(3), pages 359-81, September.
  21. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-95, November.
  22. repec:cup:cbooks:9780521818551 is not listed on IDEAS
  23. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
  24. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:indorg:v:29:y:2011:i:2:p:210-220. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.