IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Regional wage determinants in Poland: the empirical verification of the NEG approach

Abstract

The paper aims at explaining the regional wage determinants in Poland using the New Economic Geography approach. We test the hypothesis that regional wages are positively related to the regional economic potential, controlling for individual worker, firm, industry and regional characteristics. We demonstrate that the regional economic potential strongly influences the regional level of wages. Moreover, we find that individual characteristics also play an important role in wage determination in Poland.

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.bankikredyt.nbp.pl/content/2013/02/bik_02_2013_02_art.pdf
Download Restriction: no

Article provided by Narodowy Bank Polski in its journal Bank i Kredyt.

Volume (Year): 44 (2013)
Issue (Month): 2 ()
Pages: 159-174

as
in new window

Handle: RePEc:nbp:nbpbik:v:44:y:2013:i:2:p:159-174
Contact details of provider: Postal:
00-919 Warszawa ul. Świętokrzyska 11/21

Phone: (0-22) 653 10 00
Fax: (0-22) 620 85 18
Web page: http://www.bankikredyt.nbp.pl/menu_en.aspx

More information through EDIRC

Keywords: economic potential; wages;

Find related papers by JEL classification:

  • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
  • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
  2. Fujita,Masahisa & Thisse,Jacques-François, 2013. "Economics of Agglomeration," Cambridge Books, Cambridge University Press, number 9781107001411.
  3. Michael Roos, "undated". "Wages and Market Potential in Germany," Discussion Papers in Economics 00_09, University of Dortmund, Department of Economics.
  4. Andrew Newell & Mieczyslaw W. Socha, 2007. "The Polish wage inequality explosion," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 15, pages 733-758, October.
  5. Steven Brakman & Harry Garretsen & Charles van Marrewijk, 2009. "Economic Geography Within And Between European Nations: The Role Of Market Potential And Density Across Space And Time," Journal of Regional Science, Wiley Blackwell, vol. 49(4), pages 777-800.
  6. Stephen J. Redding, 2010. "The Empirics Of New Economic Geography," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 297-311.
  7. Steven Brakman & Harry Garretsen & Marc Schramm, 2004. "The Spatial Distribution of Wages: Estimating the Helpman-Hanson Model for Germany," Journal of Regional Science, Wiley Blackwell, vol. 44(3), pages 437-466.
  8. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
  9. H. Hanson, Gordon, 2005. "Market potential, increasing returns and geographic concentration," Journal of International Economics, Elsevier, vol. 67(1), pages 1-24, September.
  10. Head, Keith & Mayer, Thierry, 2006. "Regional wage and employment responses to market potential in the EU," Regional Science and Urban Economics, Elsevier, vol. 36(5), pages 573-594, September.
Full references (including those not matched with items on IDEAS)

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

as
in new window


Cited by:

  1. Mariusz Kaszubowski & Joanna Wolszczak-Derlacz, 2014. "Salary and reservation wage gender gaps in Polish academia," GUT FME Working Paper Series A 19, Faculty of Management and Economics, Gdansk University of Technology.
  2. Andrzej Cieslik & Bartlomiej Rokicki, 2013. "Regional Structure Of Wages In Poland Over The Period 1995-2009," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 8(3), pages 65-78, September.

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

Access and download statistics

When requesting a correction, please mention this item's handle: RePEc:nbp:nbpbik:v:44:y:2013:i:2:p:159-174. 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: (Michał Wieloch)

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.