Advanced Search
MyIDEAS: Login

Effects of Innovation on Employment: A Dynamic Panel Analysis

Contents:

Author Info

  • Stefan Lachenmaier
  • Horst Rottmann

Abstract

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 inputs and innovation outputs. Using dynamic panel GMM system estimation we find positive effects of innovation on employment. This result is robust to the use of product and process innovations as well as for innovation input and output.

Download Info

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.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-CESifo_Working_Papers/wp-cesifo-2007/wp-cesifo-2007-06/cesifo1_wp2015.pdf
Download Restriction: no

Bibliographic Info

Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 2015.

as in new window
Length:
Date of creation: 2007
Date of revision:
Handle: RePEc:ces:ceswps:_2015

Contact details of provider:
Postal: Poschingerstrasse 5, 81679 Munich
Phone: +49 (89) 9224-0
Fax: +49 (89) 985369
Email:
Web page: http://www.cesifo.de
More information through EDIRC

Related research

Keywords: innovation; employment; panel data; dynamic panel methods;

Other versions of this item:

References

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. 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.
  2. 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.
  3. Harrison, Rupert & Jaumandreu Balanzo, Jordi & Mairesse, Jacques & Peters, Bettina, 2008. "Does Innovation Stimulate Employment? A Firm-Level Analysis Using Comparable Micro-Data From Four European Countries," ZEW Discussion Papers 08-111, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  4. 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.
  5. Brouwer, E. & Kleinknecht, Alfred & Reijnen, J.O.N., 1993. "Employment growth and innovation at the firm level," Open Access publications from Tilburg University urn:nbn:nl:ui:12-5662246, Tilburg University.
  6. 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.
  7. 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.
  8. Lachenmaier, Stefan & Wößmann, Ludger, 2006. "Does innovation cause exports? Evidence from exogenous innovation impulses and obstacles using German micro data," Munich Reprints in Economics 19482, University of Munich, Department of Economics.
  9. 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.
  10. Petit, Pascal, 1993. "Employment and technical change," CEPREMAP Working Papers (Couverture Orange) 9330, CEPREMAP.
  11. Bettina Peters, 2005. "Employment Effects of Different Innovation Activities: Microeconometric Evidence," Development and Comp Systems 0504002, EconWPA.
  12. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
  13. Hsiao,Cheng, 2003. "Analysis of Panel Data," Cambridge Books, Cambridge University Press, number 9780521522717, October.
  14. Piva, Mariacristina & Vivarelli, Marco, 2003. "Innovation and Employment: Evidence from Italian Microdata," IZA Discussion Papers 730, Institute for the Study of Labor (IZA).
  15. 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.
  16. 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.
  17. 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.
  18. Stefan Lachenmaier & Ludger Woessmann, 2004. "Does Innovation Cause Exports? Evidence from Exogenous Innovation Impulses and Obstacles," CESifo Working Paper Series 1178, CESifo Group Munich.
  19. Rottmann, Horst & Lachenmaier, Stefan, 2007. "Employment effects of innovation at the firm level," OTH im Dialog: Weidener Diskussionspapiere 3, University of Applied Sciences Amberg-Weiden (OTH).
  20. 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.
  21. 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.
  22. 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.
  23. 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.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_2015. 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: (Julio Saavedra).

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.