The continuous sample of working lives: Improving its representativeness

Artikel

This paper studies the representativeness of the Continuous Sample of Working Lives (CSWL), a set of anonymized microdata containing information on individuals from Spanish Social Security records. We examine several CSWL waves (2005-2013) and show that it is not representative for the population with a pension income. We then develop a methodology to draw a large dataset from the CSWL that is much more representative of the retired population in terms of pension type, gender and age. This procedure also makes it possible for users to choose between goodness of fit and subsample size. In order to illustrate the practical significance of our methodology, the paper also contains an application in which we generate a large subsample distribution from the 2010 CSWL. The results are striking: with a very small reduction in the size of the original CSWL, we significantly reduce errors in estimating pension expenditure for 2010, with a p value greater or equal to 0.999.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: SERIEs - Journal of the Spanish Economic Association ; ISSN: 1869-4195 ; Volume: 8 ; Year: 2017 ; Issue: 1 ; Pages: 43-95 ; Heidelberg: Springer

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access ; Social Security and Public Pensions ; Retirement; Retirement Policies
• Thema: Continuous Sample of Working Lives ; Public pension system ; Subsample selection ; Stratified sampling ; Chi-square test ; p value

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Pérez-Salamero González, Juan Manuel ; Regúlez-Castillo, Marta ; Vidal-Meliá, Carlos
• Ereignis: Veröffentlichung
• (wer): Springer
• (wo): Heidelberg
• (wann): 2017

Weitere Informationen

• DOI: doi:10.1007/s13209-017-0154-0
• Handle: http://hdl.handle.net/10419/195287
• Letzte Aktualisierung: 10.03.2025, 11:45 MEZ