Análisis de correspondencias y estudio de historias de vidauna aplicación a la encuesta de transición educativo-formativa e inserción laboral

  1. Abad González, Julio Ignacio
  2. Blanco Alonso, Pilar
  3. García Gallego, Ana
Journal:
Pecunia: revista de la Facultad de Ciencias Económicas y Empresariales

ISSN: 1699-9495

Year of publication: 2008

Issue: 6

Pages: 1-27

Type: Article

DOI: 10.18002/PEC.V0I6.697 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Pecunia: revista de la Facultad de Ciencias Económicas y Empresariales

Sustainable development goals

Abstract

In the last decades, many papers have outlined the importance of adopting a dynamic perspective to analyze social processes. That is the reason why, for these studies, the collected data increasingly report durations of episodes and changes in time. This kind of information, the so-called 'event history data', is usually analyzed by means of statistical methods such as survival analysis or regression models for transition data. However, in this paper a different approach is outlined applying correspondence analysis, an exploratory multivariate method, to a super indicator matrix that records event history data as sequences of events. In order to illustrate its use, in this paper we apply this methodology to analyze data from an education-to-job transition survey (Encuesta de Transición Educativo-Formativa e Inserción Laboral) conducted by the Spanish Statistics Institute (Instituto Nacional de Estadistica) in 2005. This survey is intended to study the different ways of transition from education to labour market for 45.000 young people during the period 2001-2005.

Bibliographic References

  • BENZÉCRI, J.-P. (1992) Correspondence Analysis Handbook. New York: Marcel Dekker.
  • BLOSSFELD, H.-P.; A. HAMERLE & K.-U. MAYER (1989) Event History Analysis: Statistical Theory and Application in the Social Sciences. Hillsdale (New Jersey): Lawrence Erlbaum Associates.
  • DE LEEUW, J.; P.G.M. VAN DER HEIJDEN & I. KREFT (1985) "Homogeneity Analysis of Event History Data", Methods of Operations Research, 50, pp. 299-316.
  • FRANCIS, B. & M. FULLER (1996) "Visualization of Event Histories", Journal of the Royal Statistical Society, Series A, 159, pp. 301-308.
  • GREENACRE, M. (1984) Theory and Applications of Correspondence Analysis. London: Academic Press.
  • GREENACRE, M. (1993) Correspondence Analysis in Practice. London: Academic Press.
  • INSTITUTO NACIONAL DE ESTADÍSTICA (2007) Encuesta de transición educativo- formativa e inserción laboral. Resumen Metodológico. http://www.ine.es/welcome.shtml
  • JAMBU, M. (1989) Exploration Informatique et Statistique des Données. Paris: Dunod.
  • LEBART, L.; A. MORINEAU et M. PIRON (1995) Statistique Exploratoire Multidimensionnelle. Paris: Dunod.
  • MARTENS, B. (1994) "Analyzing Event History Data by Cluster Analysis and Multiple Correspondence Analysis: An Example Using Data about Work and Occupations of Scientists and Engineers". M. GREENACRE & J. BLASIUS (eds.) Correspondence Analysis in the Social Sciences. San Diego: Academic Press.
  • VAN DER HEIJDEN, P.G.M. (1987) Correspondence Analysis of Longitudinal Categorical Data. Leiden: DSWO.
  • VAN DER HEIJDEN, P.G.M. & J. DE LEEUW (1989) "Correspondence Analysis with Special Attention to the Analysis of Panel Data and Event History Data". C.C. CLOGG (ed.) Sociological Methodology. Oxford: Basil Blackwell.
  • VAN DER HEIJDEN, P.G.M.; J. TEUNISSEN et C. VAN ORLÉ (2000) "L'analyse des correspondances multiples: un outil pour la classification de données de cursus". J. MOREAU, P.-A. DOUDIN et P. CAZES (eds.) L'analyse des correspondances et les techniques connexes. Approches nouvelles pour l'analyse statistique des données. Berlin: Springer.