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How do we pursue labormetrics? An application using the MCVL

Author

Listed:
  • José Mª Arranz

    (Departamento de Economía, Universidad de Alcalá.)

  • Carlos García-Serrano

    (Departamento de Economía, Universidad de Alcalá.)

  • Virginia Hernanz

    (Departamento de Economía, Universidad de Alcalá.)

Abstract

The objective of this paper is to describe a process through which the original information of an administrative data source (the Spanish Continuous Work History Sample) can be organised in such a way as to permit the accurate study of work histories. It presents a comparison of the information obtained using the procedure we propose (panel data file 2004-2009) and that obtained using retrospectively only one sample (2009 data file) in three empirical applications whose aim is to demonstrate the sample loss and bias which occurs when data regarding the spells and individuals figuring in the database are not processed correctly.

Suggested Citation

  • José Mª Arranz & Carlos García-Serrano & Virginia Hernanz, 2012. "How do we pursue labormetrics? An application using the MCVL," Alcamentos 1201, Universidad de Alcalá, Departamento de Economía., revised 2013.
    • Handle: RePEc:alc:alcamo:1201
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    File URL: http://ebuah.uah.es/dspace/bitstream/handle/10017/9661/Alcamentos1201_rev.pdf
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    Citations

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    Cited by:

    1. Vicente Núñez-Antón & Juan Manuel Pérez-Salamero González & Marta Regúlez-Castillo & Carlos Vidal-Meliá, 2020. "Improving the Representativeness of a Simple Random Sample: An Optimization Model and Its Application to the Continuous Sample of Working Lives," Mathematics, MDPI, vol. 8(8), pages 1-27, July.
    2. David Troncoso-Ponce, 2018. "Estimation of competing risks duration models with unobserved heterogeneity using hsmlogit," Working Papers 18.03, Universidad Pablo de Olavide, Department of Economics.
    3. José M. Arranz & Carlos García Serrano & Virginia Hernanz, 2018. "Calidad del empleo: una propuesta de índice y su medición para el periodo 2005-2013," Hacienda Pública Española / Review of Public Economics, IEF, vol. 225(2), pages 133-164, June.
    4. Juan Manuel Pérez-Salamero & Marta Regúlez Castillo & Carlos Vidal Meliá, 2016. "Análisis de la representatividad de la MCVL: el caso de las prestaciones del sistema público de pensiones," Hacienda Pública Española / Review of Public Economics, IEF, vol. 217(2), pages 67-130, June.

    More about this item

    Keywords

    Administrative data; work histories; spells of non-employment; employment;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

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