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Wage Frontiers in Pre and Post-crisis Spain: Implications for Welfare and Inequality

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  • Joanna María Bashford-Fernández

    (University of Oviedo)

  • Ana Rodríguez-Álvarez

    (University of Oviedo)

Abstract

This paper explores the evolution of wages in Spain using a stochastic frontier approach to estimate the wage frontiers of workers in Spain as a function of their human capital (education, experience and occupation), year and region. Once the wage frontier has been estimated an analysis is made of determinants (type of contract, economic cycle, gender and region), which may contribute to the workers having difficulties in achieving their maximum attainable potential salary. Given our specific interest in comparing wages before and after the crisis, we monitor the effect on hourly wage of changes in the level of Spanish Gross Domestic Product for the period 2004–2015. For this purpose, a panel data model (Greene in J Econom 126(2):269–303, 2005) is used to estimate the stochastic frontier. The data is obtained from the Spanish Living Conditions Survey. Coinciding with three waves (2004–2007, 2008–2011 and 2012–2015) of the SCLS, our database conveniently encompasses differing economic cycles for estimation. Results show that the difficulty of workers in achieving their potential wage is greater at the end of the post-crisis period than the pre-crisis period. Whilst serving to throw some light on the potential and real wages available to Spanish workers before and after the onset of the economic crisis, the paper also offers a brief glimpse of the effect on individual welfare and evidence of an increasing trend in inequality in the post-crisis period.

Suggested Citation

  • Joanna María Bashford-Fernández & Ana Rodríguez-Álvarez, 2019. "Wage Frontiers in Pre and Post-crisis Spain: Implications for Welfare and Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(2), pages 579-608, June.
  • Handle: RePEc:spr:soinre:v:143:y:2019:i:2:d:10.1007_s11205-018-1990-4
    DOI: 10.1007/s11205-018-1990-4
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    as
    1. Caudill, Steven B. & Ford, Jon M., 1993. "Biases in frontier estimation due to heteroscedasticity," Economics Letters, Elsevier, vol. 41(1), pages 17-20.
    2. Hadri, Kaddour, 1999. "Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 359-363, July.
    3. J. Ignacio Garcia‐Perez & Juan F. Jimeno, 2007. "Public Sector Wage Gaps In Spanish Regions," Manchester School, University of Manchester, vol. 75(4), pages 501-531, July.
    4. Hofler, Richard A. & Polachek, Solomon W., 1985. "A new approach for measuring wage ignorance in the labor market," Journal of Economics and Business, Elsevier, vol. 37(3), pages 267-276, August.
    5. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    6. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    7. Sergio Salas Landeau & Dante Contreras, 2003. "Chilean labor market efficiency: an earning frontier approach," Estudios de Economia, University of Chile, Department of Economics, vol. 30(1 Year 20), pages 87-102, June.
    8. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    9. Mincer, Jacob, 1970. "The Distribution of Labor Incomes: A Survey with Special Reference to the Human Capital Approach," Journal of Economic Literature, American Economic Association, vol. 8(1), pages 1-26, March.
    10. Hipolito Simon & Raul Ramos & Esteban Sanroma, 2006. "Collective bargaining and regional wage differences in Spain: an empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 38(15), pages 1749-1760.
    11. Dulce Contreras & Rosario Sánchez & Delfina Soria, 2016. "Geographical Mobility and Wage Efficiency for Women and Men for Four European Countries," Hacienda Pública Española / Review of Public Economics, IEF, vol. 216(1), pages 61-80, March.
    12. Maria J. Perez-Villadoniga & Ana Rodriguez-Alvarez, 2017. "Comparing the gender gap in gross and base wages," International Journal of Manpower, Emerald Group Publishing Limited, vol. 38(5), pages 646-660, August.
    13. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    14. Vera A. Adamchik & Arthur E. King, 2007. "Labor Market Efficiency In Poland: A Stochastic Wage Frontier Analysis," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 1(2), pages 41-50.
    15. Ines P. Murillo Huertas & Raul Ramos & Hipolito Simon, 2017. "Regional Differences in the Gender Wage Gap in Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(3), pages 981-1008, December.
    16. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    17. Verdugo, Gregory, 2016. "Real wage cyclicality in the Eurozone before and during the Great Recession: Evidence from micro data," European Economic Review, Elsevier, vol. 82(C), pages 46-69.
    18. Blaug, Mark, 1976. "The Empirical Status of Human Capital Theory: A Slightly Jaundiced Survey," Journal of Economic Literature, American Economic Association, vol. 14(3), pages 827-855, September.
    19. Fernandes, Ana P. & Ferreira, Priscila, 2017. "Financing constraints and fixed-term employment: Evidence from the 2008-9 financial crisis," European Economic Review, Elsevier, vol. 92(C), pages 215-238.
    20. Lovell, C. A. Knox, 1995. "Econometric efficiency analysis: A policy-oriented review," European Journal of Operational Research, Elsevier, vol. 80(3), pages 452-461, February.
    21. Polachek, Solomon W. & Robst, John, 1998. "Employee labor market information: comparing direct world of work measures of workers' knowledge to stochastic frontier estimates," Labour Economics, Elsevier, vol. 5(2), pages 231-242, June.
    22. Maria Jose Perez Villadoniga & Ana Rodríguez-Alvarez, 2017. "Analysing wage differentials when workers maximize the return to human capital investment," Applied Economics, Taylor & Francis Journals, vol. 49(42), pages 4196-4208, September.
    23. Hofler, Richard A & Murphy, Kevin J, 1992. "Underpaid and Overworked: Measuring the Effect of Imperfect Information on Wages," Economic Inquiry, Western Economic Association International, vol. 30(3), pages 511-529, July.
    24. Carmen Garcia-Prieto & Patricia Gómez-Costilla, 2017. "Gender wage gap and education: a stochastic frontier approach," International Journal of Manpower, Emerald Group Publishing Limited, vol. 38(3), pages 504-516, June.
    25. Peter Dawson & Timothy Hinks & Duncan Watson, 2001. "German Wage Underpayment: An Investigation into Labor Market Inefficiency and Discrimination," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(1), pages 107-114.
    26. Günter Lang, 2005. "The difference between wages and wage potentials: Earnings disadvantages of immigrants in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 3(1), pages 21-42, April.
    27. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    28. Inmaculada Garcia & Jose Alberto Molina, 2002. "Inter-regional wage differentials in Spain," Applied Economics Letters, Taylor & Francis Journals, vol. 9(4), pages 209-215.
    29. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    30. Uwe Jensen & Hermann Gartner & Susanne Rässler, 2010. "Estimating German overqualification with stochastic earnings frontiers," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(1), pages 33-51, March.
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    More about this item

    Keywords

    Spanish wages; Stochastic frontier analysis; Wage gaps; Efficiency;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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