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Multilevel analysis in the social sciences

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  • Brigitte Baccaïni
  • Daniel Courgeau

Abstract

Courgeau (Daniel), Baccaini (Brigitte). - Multilevel analysis in the social sciences The multilevel approach can be used to study human behaviour taking into account not only individual characteristics but also the fact that these individuals belong to larger geographical units such as communes and regions. This article gives a detailed critical presentation of the aims and formulations of these models. Attention ranges from the most basic models, which introduce the many different levels in the form of individual and aggregated characteristics, to more complex models which operate with the random characteristics specific to each level, and culminates with multilevel event history models. The article concludes with a more general epistemological reflection on the contribution of these models.

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Bibliographic Info

Article provided by Institut National d'Études Démographiques (INED) in its journal Population.

Volume (Year): 10 (1998)
Issue (Month): HS1 ()
Pages: 39-71

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Handle: RePEc:cai:popine:popu_p1998_10n1_0071

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Web page: http://www.cairn.info/revue-population.htm

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Cited by:
  1. Joop Beer & Ingeborg Deerenberg, 2007. "An Explanatory Model for Projecting Regional Fertility Differences in the Netherlands," Population Research and Policy Review, Springer, vol. 26(5), pages 511-528, December.
  2. Karsten Hank, 2001. "Regional social contexts and individual fertility decisions: a multilevel analysis of first and second births in Western Germany," MPIDR Working Papers WP-2001-015, Max Planck Institute for Demographic Research, Rostock, Germany.
  3. Karsten Hank, 2002. "Regional Social Contexts and Individual Fertility Decisions: A Multilevel Analysis of First and Second Births in Western Germany," Discussion Papers of DIW Berlin 270, DIW Berlin, German Institute for Economic Research.

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