Modelling the spatiotemporal distribution of the incidence of resident foreign population

Giampiero Marra*, David L. Miller, Luca Zanin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Many European countries have recently experienced a substantial increase in the proportion of immigrants in their populations. The incidence of resident foreigners calculated at a national level does not provide information on the local spatial and temporal distribution of the phenomenon. This information may be of crucial importance for planning local policies. In this article, we suggest a tool for practitioners to provide spatiotemporal maps representing the local distribution of the incidence of resident foreigners in the territory, and changes in spatial trends over time. We illustrate this with Italian data at a municipal level, for the period 20032008. To account for spatiotemporal interactions in the data, we propose using a generalized additive model incorporating a smoother of the time and space dimensions. Specifically, we set up a tensor product smoother combining a cubic regression spline basis for time and a soap film spline basis for space. This approach provides a consistent framework to produce spatiotemporal maps which could be effectively used by policy makers to decide the allocation of economic resources at a local level.

Original languageEnglish
Pages (from-to)133-160
Number of pages28
JournalStatistica Neerlandica
Volume66
Issue number2
DOIs
Publication statusPublished - May 2012

Keywords

  • generalized additive model
  • incidence of resident foreigners
  • soap film spline basis
  • spatiotemporal maps
  • tensor product smoother
  • BAYESIAN CONFIDENCE-INTERVALS
  • GENERALIZED LINEAR-MODELS
  • INTERNATIONAL MIGRATION
  • SMOOTHING PARAMETER
  • EUROPEAN COUNTRIES
  • UNITED-STATES
  • MIXED MODELS
  • IMMIGRATION
  • SPLINE
  • UNEMPLOYMENT

Fingerprint

Dive into the research topics of 'Modelling the spatiotemporal distribution of the incidence of resident foreign population'. Together they form a unique fingerprint.

Cite this