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Shadow Wages for the EU Regions


Massimo Florio


University of Milan - Department of Economics, Business and Statistics (DEAS)

Carlo Fiorio


University of Milan - Department of Business Policy and Economics (DEPA)

Chiara Del Bo


University of Milan - Department of Economics, Business and Statistics

October 26, 2009

Fiscal Studies, Vol. 32, No. 1, 2011
Università degli Studi di Milano Working Paper No. 2009-42

Abstract:     
The shadow wage is the social opportunity cost of labor. After reviewing earlier theoretical and empirical literature, we define four labor market conditions: fairly socially efficient (FSE), quasi-Keynesian unemployment (QKU), urban labor dualism (ULD) and rural labor dualism (RLD). We offer, for the first time to date, an empirical estimation of the shadow wages for the EU at regional (NUTS2) level. Our estimated values are in the form of conversion factors that translate actual observed real wages into shadow wages, as required by social cost-benefit analysis of investment projects under the Structural Funds of the EU. Our results are obtained with an empirical strategy that is easy to implement with aggregate data, differently from micro-data based approaches that are costly, project specific, and often difficult to be applied because of lack of data. We find that the conversion factor for the shadow wage rate is 0.998 in 29 FSE regions (mostly capital cities); 0.943 in 135 ULD regions (mostly in rich areas); 0.8005 in 74 QKU regions, and just 0.519 in 32 RLD regions. These findings point to high variability of labor markets in the EU and have important applications for project evaluation.

Number of Pages in PDF File: 40

Keywords: Shadow wage, project evaluation, EU regions

JEL Classification: H43, D61, R23

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Date posted: May 11, 2011  

Suggested Citation

Florio, Massimo, Fiorio, Carlo and Del Bo, Chiara, Shadow Wages for the EU Regions (October 26, 2009). Fiscal Studies, Vol. 32, No. 1, 2011. Available at SSRN: http://ssrn.com/abstract=1832225 or http://dx.doi.org/10.2139/ssrn.1832225

Contact Information

Massimo Florio (Contact Author)
University of Milan - Department of Economics, Business and Statistics (DEAS) ( email )
Via Conservatorio 7
I-20122 Milano, 20122
Italy
+39 02 50321510 (Phone)
+39 02 50321505 (Fax)
HOME PAGE: http://www.economia.unimi.it
Carlo Fiorio
University of Milan - Department of Business Policy and Economics (DEPA) ( email )
Chiara Del Bo
University of Milan - Department of Economics, Business and Statistics ( email )
Via Festa del Perdono, 7
Milan, 20122
Italy
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