MULTIVARIATE METHODS IN DEMOGRAPHY STUDIES: AN APPLICATION TO MUNICIPAL MIGRATORY BEHAVIOR FOR SETTLEMENT CATEGORY IN CUBA

Authors

  • Ana D. Boquet Instituto de Planificación Física
  • Lydia de la C. Lera Instituto de Cibernética, Matemática y Física
  • Minerva Montero Instituto de Cibernética, Matemática y Física

Keywords:

Principal component, multilevel model, common structure, STATIS

Abstract

n this paper a study of the municipal migrations by means of Principal Component Analysis and STATIS is presented. The data used for this purpose are migratory rates calculated at the Office of Statistics of Cuba. The rates are calculated for three periods (1989-1991, 1992-1994 and 1995-1996) for each settlement category (municipality center∗, small urban and small rural settlements) and for two kinds of movements: the migrations within the province and into other provinces of the country. Due to not all municipalities have settlements of all categories, we use a multivariate multilevel model for estimates efficiently the
variance and covariance matrix of a vector of multivariate response with missing data.

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Published

2023-06-10

How to Cite

Boquet, A. D., Lera , L. de la C., & Montero, M. (2023). MULTIVARIATE METHODS IN DEMOGRAPHY STUDIES: AN APPLICATION TO MUNICIPAL MIGRATORY BEHAVIOR FOR SETTLEMENT CATEGORY IN CUBA. Investigación Operacional, 27(1). Retrieved from https://revistas.uh.cu/invoperacional/article/view/6421

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