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An lisis de la representatividad de la MCVL: el caso de las prestaciones del sistema p blico de pensiones

Author

Listed:
  • Juan Manuel P rez-Salamero

    (Universidad de Valencia)

  • Marta Reg lez Castillo

    (Universidad del Pa s Vasco)

  • Carlos Vidal Meli

    (Universidad de Valencia)

Abstract

El objetivo de este trabajo es contribuir a aumentar el conocimiento de la Muestra Continua de Vidas Laborales (MCVL) en cuanto a la informaci n sobre prestaciones y advertir de posibles errores que se podr an cometer a la hora de realizar cierto tipo de estudios sobre el sistema p blico de pensiones. Se analiza el conjunto de datos de prestaciones de la MCVL de 2010 teniendo en cuenta los datos agrupados por tipo de pensi n, grupos de edad y g nero, as como por cuant a. Despu s de realizar las pruebas estad sticas apropiadas sobre el ajuste de la muestra a la poblaci n basada en los datos del Informe Estad stico anual del INSS del mismo a o, se concluye que los datos extra dos de la MCVL pueden no ser una fiel r plica de la poblaci n objeto de estudio, para cierto tipo de investigaciones, debido a su concepci n inicial (Muestra Aleatoria Simple), algunos errores originados en las fuentes administrativas y problemas de reclasificaci n. Este resultado advierte de las implicaciones que pudiera tener en aquellos estudios que seleccionaran una submuestra de los datos de la MCVL sobre determinado tipo de prestaciones.

Suggested Citation

  • Juan Manuel P rez-Salamero & Marta Reg lez Castillo & Carlos Vidal Meli, 2016. "An lisis de la representatividad de la MCVL: el caso de las prestaciones del sistema p blico de pensiones," Hacienda Pública Española / Review of Public Economics, IEF, vol. 217(2), pages 67-130, June.
    • Handle: RePEc:hpe:journl:y:2016:v:217:i:2:p:67-130
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    References listed on IDEAS

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    1. Ignacio Moral-Arce & Ció Patxot & Guadalupe Souto, 2008. "La sostenibilidad del sistema de pensiones. una aproximación a partir de la MCVL," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 16(E-1), pages 29-66, Special N.
    2. María del Carmen Boado-Penas & Salvador Valdés-Prieto & Carlos Vidal-Meliá, 2008. "The Actuarial Balance Sheet for Pay-As-You-Go Finance: Solvency Indicators for Spain and Sweden," Fiscal Studies, Institute for Fiscal Studies, vol. 29(1), pages 89-134, March.
    3. Raquel Vegas Sánchez & Isabel Argimón & Marta Botella & Clara González, 2013. "Old age pensions and retirement in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 4(3), pages 273-307, August.
    4. Carlos Vidal-Meliá & María del Carmen Boado-Penas & Ole Settergren, 2009. "Automatic Balance Mechanisms in Pay-As-You-Go Pension Systems," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(2), pages 287-317, April.
    5. 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.
    6. José Enrique Devesa Carpio & Mar Devesa Carpio & Robert Meney Gaya & Amparo Nagore García & Inmaculada Domínguez Fabián & Borja Encinas Goenechea, 2012. "Equidad y sostenibilidad como objetivos ante la reforma del sistema contributivo de pensiones de jubilación," Hacienda Pública Española / Review of Public Economics, IEF, vol. 201(2), pages 9-38, June.
    7. José María Arranz & Carlos García Serrano, 2011. "Are the MCVL tax data useful? Ideas for mining," Hacienda Pública Española / Review of Public Economics, IEF, vol. 199(4), pages 151-186, December.
    8. Mingfeng Lin & Henry C. Lucas & Galit Shmueli, 2013. "Research Commentary ---Too Big to Fail: Large Samples and the p -Value Problem," Information Systems Research, INFORMS, vol. 24(4), pages 906-917, December.
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    Citations

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    Cited by:

    1. Juan Manuel Pérez-Salamero González & Marta Regúlez-Castillo & Carlos Vidal-Meliá, 2017. "The continuous sample of working lives: improving its representativeness," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 8(1), pages 43-95, March.
    2. Oihana Aristondo, 2018. "Poverty Decomposition in Incidence, Intensity and Inequality. A Review," Hacienda Pública Española / Review of Public Economics, IEF, vol. 225(2), pages 109-130, June.
    3. 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.
    4. Ander Iraizoz, 2020. "Saving for retirement through the public pension system: Evidence from the self-employed in Spain," PSE Working Papers halshs-02948136, HAL.
    5. Manuel Garc a & Juan M. Nave, 2018. "Impacto en las prestaciones de jubilaci n de la reforma del sistema p blico de pensiones espa ol," Hacienda Pública Española / Review of Public Economics, IEF, vol. 224(1), pages 113-137, March.
    6. Ander Iraizoz, 2020. "Saving for retirement through the public pension system: Evidence from the self-employed in Spain," Working Papers halshs-02948136, HAL.

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    Keywords

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    JEL classification:

    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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