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Omitted variables in the measure of a labour quality index: the case of Spain

Author

Listed:
  • Aitor Lacuesta

    (Banco de España)

  • Sergio Puente

    (Banco de España)

  • Pilar Cuadrado

    (Banco de España)

Abstract

Traditional measures of labour quality might have the shortcoming of missing some features of the very important increase in labour utilization within European countries. In particular, we explore the case of Spain. Despite showing one of the most important increases in labour quality in the EU according to standard methods, it also offers a negative increase in TFP growth. This paper computes an index of labour quality in Spain between 1988 and 2006 using microdata from the Labour Force Survey and the Structural Earnings Survey-2002 that allows the introduction of all possible interactions in a semi-parametric fashion between gender, age, education, experience in the current job and nationality. Considering those observable characteristics, the index still shows a notable growth at an average annual rate of 0.42 pp. After a period of slight decline (between 1988 and 1992) the index grows continuously until 2006 when it fell again. This is the case because education is, even by considering all possible interactions with other demographic variables, the highest contributor to the quality index’s growth. However, the paper shows the importance of considering changes in average productivities of different socio-demographic groups over time. We include in the analysis two usually omitted variables that help explaining the recent productivity slowdown in Spain: type of occupation held by the individual and unobserved heterogeneity of workers. Both the inclusion of occupation and especially the entry of individuals with below-average productivity levels compared to precedent periods decrease the labour quality growth to an average annual rate of 0.20 pp. Indeed with the addition of these two factors labour quality slightly decreases from 1997 onwards.

Suggested Citation

  • Aitor Lacuesta & Sergio Puente & Pilar Cuadrado, 2009. "Omitted variables in the measure of a labour quality index: the case of Spain," Working Papers 0835, Banco de España.
  • Handle: RePEc:bde:wpaper:0835
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    References listed on IDEAS

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    Cited by:

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    2. Manuel García‐Santana & Enrique Moral‐Benito & Josep Pijoan‐Mas & Roberto Ramos, 2020. "Growing Like Spain: 1995–2007," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(1), pages 383-416, February.
    3. Aitor Lacuesta & Mario Izquierdo, 2012. "The contribution of changes in employment composition and relative returns to the evolution of wage inequality: the case of Spain," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(2), pages 511-543, January.
    4. Raquel Carrasco & Juan F. Jimeno & A. Carolina Ortega, 2011. "Accounting for changes in the Spanish wage distribution: the role of employment Composition effects," Working Papers 1120, Banco de España.
    5. Rodriguez-Oreggia, Eduardo & Cardozo-Medeiros, Diego & Parra-Diaz, Pedro Pablo, 2014. "Measuring a Territorial Labor Market Development Index," MPRA Paper 54439, University Library of Munich, Germany.
    6. Nicodemo, Catia, 2013. "Immigration and Labor Productivity: New Empirical Evidence for Spain," IZA Discussion Papers 7297, Institute of Labor Economics (IZA).
    7. Øivind A. Nilsen & Arvid Raknerud & Marina Rybalka & Terje Skjerpen, 2011. "The Importance Of Skill Measurement For Growth Accounting," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 293-305, June.
    8. Izquierdo, Mario & Lacuesta, Aitor & Vegas, Raquel, 2009. "Assimilation of immigrants in Spain: A longitudinal analysis," Labour Economics, Elsevier, vol. 16(6), pages 669-678, December.
    9. Schwerdt, Guido & Turunen, Jarkko, 2010. "Labor quality growth in Germany," Economics Letters, Elsevier, vol. 108(3), pages 280-282, September.
    10. Lewis, Paul & Peng, Fei, 2012. "Baumol and the post-industrial trilemma: examining the relationship between productivity, prices and wages," MPRA Paper 48019, University Library of Munich, Germany.

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    More about this item

    Keywords

    index number; labour quality; productivity slowdown; unobserved heterogeneity;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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