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Bayesian correlated factor analysis of socio-demographic indicators

Author

Listed:
  • Maura Mezzetti

    (Universitá Bocconi)

  • Francesco C. Billari

    (Universitá Bocconi)

Abstract

. Recent changes in European family dynamics are often linked to common latent trends of economic and ideational change. Using Bayesian factor analysis, we extract three latent variables from eight socio-demographic indicators related to family formation, dissolution, and gender system and collected on 19 European countries within four periods (1970, 1980, 1990, 1998). The flexibility of the Bayesian approach allows us to introduce an innovative temporal factor model, adding the temporal dimension to the traditional factorial analysis. The underlying structure of the Bayesian factor model proposed reflects our idea of an autoregressive pattern in the latent variables relative to adjacent time periods. The results we obtain are consistent with current interpretations in European demographic trends.

Suggested Citation

  • Maura Mezzetti & Francesco C. Billari, 2005. "Bayesian correlated factor analysis of socio-demographic indicators," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 14(2), pages 223-241, November.
    • Handle: RePEc:spr:stmapp:v:14:y:2005:i:2:d:10.1007_s10260-005-0105-y
    DOI: 10.1007/s10260-005-0105-y
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    Cited by:

    1. Debraj Roy & David Bernal & Michael Lees, 2020. "An exploratory factor analysis model for slum severity index in Mexico City," Urban Studies, Urban Studies Journal Limited, vol. 57(4), pages 789-805, March.
    2. Maura Mezzetti, 2012. "Bayesian factor analysis for spatially correlated data: application to cancer incidence data in Scotland," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(1), pages 49-74, March.
    3. Eric Gielen & Gabriel Riutort-Mayol & José Sergio Palencia-Jiménez & Isidro Cantarino, 2018. "An urban sprawl index based on multivariate and Bayesian factor analysis with application at the municipality level in Valencia," Environment and Planning B, , vol. 45(5), pages 888-914, September.

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