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

Employer education, agglomeration and workplace training: poaching vs knowledge spillovers

  • Giuseppe Croce
  • Edoardo Di Porto
  • Emanuela Ghignoni
  • Andrea Ricci

This paper analyzes the role of the employer in workplace training, a novelty with respect to the literature on this topic. Taking advantage of a unique dataset on Italy, we study how individual employer profile and the agglomeration of employers influence firms’ propensity to invest in training. Our findings show that highly educated employers have a greater propensity to invest in workplace training. Moreover, we are able to capture the effect of employers’ human capital agglomeration on the training decision. We assert that such agglomeration leads to two different alternative scenarios: 1) a poaching effect may prevail, therefore competition among employers induces less propensity to train workers; 2) a positive knowledge spillover effect may prevail leading to a greater propensity to engage in training. We test these two options discovering that in the Italian case, where small businesses are prominent, the first effect is stronger. Several econometrics issues are considered in our empirical strategy: the skewed and bounded nature of the training decision indicator, the endogeneity issues derived from the agglomeration effect as well as the cross section dependence problems affecting standard errors.

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.dipecodir.it/upload/wp/pdf/wp162.pdf
Download Restriction: no

Paper provided by University of Rome La Sapienza, Department of Public Economics in its series Working Papers with number 162.

as
in new window

Length: 30
Date of creation: Sep 2013
Date of revision:
Handle: RePEc:sap:wpaper:wp162
Contact details of provider: Postal:
Via Del Castro Laurenziano 9, 00161 Roma

Phone: +39 6 49766353
Fax: +39 6 4462040
Web page: http://www.dipecodir.it/

More information through EDIRC

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. Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon, 2011. "The identification of agglomeration economies," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 253-266, March.
  2. Giorgio Brunello & Francesca Gambarotto, 2006. "Do Spatial Agglomeration and Local Labor Market Competition Affect Employer - Provided Training? Evidence from the UK," "Marco Fanno" Working Papers 0018, Dipartimento di Scienze Economiche "Marco Fanno".
  3. Duranton, Gilles & Puga, Diego, 2004. "Micro-foundations of urban agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 48, pages 2063-2117 Elsevier.
  4. Luigi Guiso & Fabiano Schivardi, 2008. "What determines entrepreneurial clusters?," EIEF Working Papers Series 0806, Einaudi Institute for Economics and Finance (EIEF), revised May 2008.
  5. Amemiya, Takeshi, 1979. "The Estimation of a Simultaneous-Equation Tobit Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(1), pages 169-81, February.
  6. Ron Boschma, 2005. "Proximity and Innovation: A Critical Assessment," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 61-74.
  7. Newey, Whitney K., 1987. "Efficient estimation of limited dependent variable models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 36(3), pages 231-250, November.
  8. Nick Bloom & John Van Reenen, 2010. "Why do Management Practices Differ Across Firms and Countries?," CEP Occasional Papers 26, Centre for Economic Performance, LSE.
  9. Mark Doms & Ethan Lewis & Alicia Robb, 2010. "Local Labor Force Education, New Business Characteristics, and Firm Performance," NBER Chapters, in: Cities and Entrepreneurship National Bureau of Economic Research, Inc.
  10. Pierre-Philippe Combes & Gilles Duranton, 2006. "Labor Pooling, Labor Poaching, and Spatial Clustering," Post-Print halshs-00754183, HAL.
  11. Henderson, J. Vernon, 2003. "Marshall's scale economies," Journal of Urban Economics, Elsevier, vol. 53(1), pages 1-28, January.
  12. Croce, Giuseppe & Ghignoni, Emanuela, 2009. "Employer-provided training and knowledge spillovers: evidence from Italian local labour markets," MPRA Paper 14475, University Library of Munich, Germany.
  13. Amemiya, Takeshi, 1983. "A comparison of the Amemiya GLS and the Lee-Maddala-Trost G2SLS in a simultaneous-equations Tobit model," Journal of Econometrics, Elsevier, vol. 23(3), pages 295-300, December.
  14. Zoltan Acs & Pontus Braunerhjelm & David Audretsch & Bo Carlsson, 2009. "The knowledge spillover theory of entrepreneurship," Small Business Economics, Springer, vol. 32(1), pages 15-30, January.
  15. Vernon Henderson, J., 2007. "Understanding knowledge spillovers," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 497-508, July.
  16. Hashimoto, Masanori, 1982. "Minimum Wage Effects on Training on the Job," American Economic Review, American Economic Association, vol. 72(5), pages 1070-87, December.
  17. C. Praag & Peter Versloot, 2007. "What is the value of entrepreneurship? A review of recent research," Small Business Economics, Springer, vol. 29(4), pages 351-382, December.
  18. Justin van der Sluis & Mirjam van Praag & Wim Vijverberg, 2008. "Education And Entrepreneurship Selection And Performance: A Review Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 795-841, December.
  19. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
  20. Paolo Naticchioni & Andrea Ricci & Emiliano Rustichelli, 2010. "Far away from a skill-biased change: falling educational wage premia in Italy," Applied Economics, Taylor & Francis Journals, vol. 42(26), pages 3383-3400.
  21. Agrawal, Ajay & Kapur, Devesh & McHale, John, 2008. "How do spatial and social proximity influence knowledge flows? Evidence from patent data," Journal of Urban Economics, Elsevier, vol. 64(2), pages 258-269, September.
  22. John Mullahy, 1997. "Instrumental-Variable Estimation Of Count Data Models: Applications To Models Of Cigarette Smoking Behavior," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 586-593, November.
  23. Giorgio Brunello & Maria De Paola, 2006. "Training and Economic Density: Some Evidence from Italian Provinces," "Marco Fanno" Working Papers 0030, Dipartimento di Scienze Economiche "Marco Fanno".
  24. Emilio Colombo & Luca Stanca, 2008. "The Impact of Training on Productivity: Evidence from a Large Panel of Firms," Working Papers 134, University of Milano-Bicocca, Department of Economics, revised Jan 2008.
  25. Brock, William A. & Durlauf, Steven N., 2007. "Identification of binary choice models with social interactions," Journal of Econometrics, Elsevier, vol. 140(1), pages 52-75, September.
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:sap:wpaper:wp162. 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: (Luisa Giuriato)

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.