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Interprovincial Wage Differences in Spain. A Microdata Analysis

Author

Listed:
  • Esteban Sanroma Melendez
  • Raul Ramos Lobo

    (Universitat de Barcelona)

Abstract

Interregional wage differences in the Spanish economy are of considerable magnitude. More precisely the average wage in Madrid is 69% higher than in Murcia and the figure to Catalonia is 47% higher. The main objective of this paper is to explain these differences. In order to do so, we estimate enlarged Mincer equations and study the quantitative importance of the "territorial effect" on wages. Then we attempt to explain these as compensatory differences or as a result of existent disequilibrium in the provincial labour markets. The evidence obtained allows us to determine the magnitude of the "territorial effect". Once the influence of the individual and job characteristics are controlled for, there still remain positive differences slightly greater than 24% between the provinces of Barcelona and Seville and about 13% between Madrid and Seville. These wage differences are compensationg to some extent for differences in the levels of prices, but they do not correspond to the unequal attraction of the Spanish provinces. The differences are explained, finally, by the unequal level of prices and by the irregular distribution of unemployment between provinces, which is shown to have a negative effect on wages close to the magnitude estimated by Blanchflower and Oswald (1994).

Suggested Citation

  • Esteban Sanroma Melendez & Raul Ramos Lobo, 1998. "Interprovincial Wage Differences in Spain. A Microdata Analysis," Working Papers in Economics 23, Universitat de Barcelona. Espai de Recerca en Economia.
  • Handle: RePEc:bar:bedcje:199823
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    References listed on IDEAS

    as
    1. Franklin M. Fisher & Zvi Griliches, 1995. "Aggregate Price Indices, New Goods, and Generics," The Quarterly Journal of Economics, Oxford University Press, vol. 110(1), pages 229-244.
    2. Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992. "The Power of Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 325-348, August.
    3. Sargan, John Denis & Bhargava, Alok, 1983. "Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk," Econometrica, Econometric Society, vol. 51(1), pages 153-174, January.
    4. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    5. Abbott, Thomas III, 1995. "Price regulation in the pharmaceutical industry: Prescription or placebo?," Journal of Health Economics, Elsevier, vol. 14(5), pages 551-565, December.
    6. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
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    Cited by:

    1. Ignacio Cazcarro & Rosa Duarte & Julio Sánchez Chóliz & Cristina Sarasa & Ana Serrano, 2016. "Modelling regional policy scenarios in the agri-food sector: a case study of a Spanish region," Applied Economics, Taylor & Francis Journals, vol. 48(16), pages 1463-1480, April.
    2. Inmaculada Garcia-Mainar & Victor Montuenga-Gomez, 2003. "The Spanish Wage Curve: 1994-1996," Regional Studies, Taylor & Francis Journals, vol. 37(9), pages 929-945.

    More about this item

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General

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