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Sample attrition and labor force dynamics: Evidence from the Spanish labor force survey

Author

Listed:
  • Sergi Jiménez-Martín

    (Departamento de Economía, Universidad Carlos III de Madrid, Madrid 126, 28903 Getafe, Spain Facoltà di Economia, Università di Roma Tor Vergata, 00133 Roma, Italy)

  • Franco Peracchi

    (Departamento de Economía, Universidad Carlos III de Madrid, Madrid 126, 28903 Getafe, Spain Facoltà di Economia, Università di Roma Tor Vergata, 00133 Roma, Italy)

Abstract

In this paper we examine a number of issues that arise in investigating labor force dynamics using the Spanish Labor Force Survey (EPA). These issues are by no means specific to the Spanish case and apply to most European-style labor force surveys. Our main conclusions may be summarized as follows. First, survey nonresponse cannot be neglected. Second, the EPA tends to underestimate employment and participation of high-educated young people, and to overestimate those of the low-educated elderly. Finally, we find little evidence that attrition causes important selection biases in estimating quarterly transition probabilities.

Suggested Citation

  • Sergi Jiménez-Martín & Franco Peracchi, 2002. "Sample attrition and labor force dynamics: Evidence from the Spanish labor force survey," Spanish Economic Review, Springer;Spanish Economic Association, vol. 4(2), pages 79-102.
    • Handle: RePEc:spr:specre:v:4:y:2002:i:2:p:79-102
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    Citations

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    Cited by:

    1. Adriana Kugler & Juan F. Jimeno & Virginia Hernanz, "undated". "Employment Consequences of Restrictive Permanent Contracts: Evidence from Spanish Labor Market Reforms," Working Papers 2003-14, FEDEA.
    2. Andrea Brandolini & Piero Cipollone & Eliana Viviano, 2006. "Does The Ilo Definition Capture All Unemployment?," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 153-179, March.
    3. Agar Brugiavini & Franco Peracchi & David A. Wise, 2002. "Pensions and Retirement Incentives. A Tale of Three Countries: Italy, Spain and the USA," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 61(2), pages 131-169, December.
    4. Hernández-Quevedo, Cristina & Jones, Andrew M. & Rice, Nigel, 2008. "Persistence in health limitations: A European comparative analysis," Journal of Health Economics, Elsevier, vol. 27(6), pages 1472-1488, December.
    5. Silva, José I. & Vázquez-Grenno, Javier, 2013. "The ins and outs of unemployment in a two-tier labor market," Labour Economics, Elsevier, vol. 24(C), pages 161-169.
    6. Sabrina Di Addario, 2005. "Job Search in Thick Markets: Evidence from Italy," Economics Series Working Papers 235, University of Oxford, Department of Economics.
    7. Di Addario, Sabrina, 2011. "Job search in thick markets," Journal of Urban Economics, Elsevier, vol. 69(3), pages 303-318, May.
    8. Schoiswohl, Florian & Wüger, Michael, 2016. "A Representative Matched Cross-section Survey for Austria - Measuring Worker Flow Dynamics with the Austrian Labour Force Survey," Department of Economics Working Paper Series 223, WU Vienna University of Economics and Business.
    9. Aparicio Fenoll, Ainoa, 2011. "The Effect of Product Market Competition on Job Instability," IZA Discussion Papers 5669, Institute of Labor Economics (IZA).
    10. Mark L Bryan & Nigel Rice & Jennifer Roberts & Cristina Sechel, 2022. "Mental Health and Employment: A Bounding Approach Using Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1018-1051, October.
    11. Aparicio-Fenoll, Ainhoa, 2015. "The effect of product market competition on job security," Labour Economics, Elsevier, vol. 35(C), pages 145-159.
    12. Elisabetta Marzano, 2006. "How Many Labour Force States? An Analysis Based on the British Household Panel Survey (BHPS)," LABOUR, CEIS, vol. 20(2), pages 237-254, June.
    13. Franco Peracchi & Eliana Viviano, 2004. "An Empirical Micro Matching Model with an Application to Italy and Spain," Temi di discussione (Economic working papers) 538, Bank of Italy, Economic Research and International Relations Area.
    14. Andrew M. Jones & Xander Koolman & Nigel Rice, 2006. "Health‐related non‐response in the British Household Panel Survey and European Community Household Panel: using inverse‐probability‐weighted estimators in non‐linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 543-569, July.
    15. Silva, José I. & Vázquez-Grenno, Javier, 2013. "The ins and outs of unemployment in a two-tier labor market," Labour Economics, Elsevier, vol. 24(C), pages 161-169.

    More about this item

    Keywords

    Nonresponse; attrition; panel data; labor force survey; EPA;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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