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Estimation under length-bias and right-censoring: An application to unemployment duration analysis for married women

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  • Jacobo De UNA-ALvarez
  • M. Soledad Otero-GirALdez
  • Gema ALvarez-Llorente

Abstract

In this work we analyse unemployment duration for married women in Spain, using the Labour Force Survey (LFS) of the Spanish Institute for Statistics, 1987-1997. Consistent non-parametric estimation of the unemployment survival function is provided. Since the available data are length- biased, a suitable correction of the Kaplan-Meier product-limit estimator is motivated and used for the referred analysis. The accuracy of parametric models is checked by means of goodness-of-fit plots--a graphical tool that requires preliminary estimation of the survival. Structural features of the associated hazard (as monotonicity and unimodality) are explored.

Suggested Citation

  • Jacobo De UNA-ALvarez & M. Soledad Otero-GirALdez & Gema ALvarez-Llorente, 2003. "Estimation under length-bias and right-censoring: An application to unemployment duration analysis for married women," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(3), pages 283-291.
    • Handle: RePEc:taf:japsta:v:30:y:2003:i:3:p:283-291
    DOI: 10.1080/0266476022000030066
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    References listed on IDEAS

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    9. Jacobo Uña-Álvarez, 2002. "Product-limit estimation for length-biased censored data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 11(1), pages 109-125, June.
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    Cited by:

    1. Carlos Usabiaga & Pablo Álvarez de Toledo & Fernando Núñez, 2013. "Labour Market Segmentation, Clusters, Mobility And Unemployment Duration With Individual Microdata," EcoMod2013 5688, EcoMod.
    2. Jacobo de Uña Álvarez & Gema Álvarez Llorente & Mª Soledad Otero Giráldez, 2004. "Estimation of time spent in unemployment for married women: An application at regional level," Working Papers 0410, Universidade de Vigo, Departamento de Economía Aplicada.

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