studying internal migrations with census microdata. claire kersuzan, christophe bergouignan census...

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Studying internal Studying internal migrations with migrations with census microdata. census microdata. Claire Kersuzan, Christophe Bergouignan Census project (IEDUB, INED U13, ODE) European Doctoral School of Demography 2009 May 20

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Studying internal migrations with census microdata. Claire Kersuzan, Christophe Bergouignan Census project (IEDUB, INED U13, ODE) European Doctoral School of Demography 2009 May 20 Slide 2 Studying internal migrations with census microdata Census data about internal migration Census data about internal migration International comparisons in the field of internal migration with IECM-IPUMS microdata International comparisons in the field of internal migration with IECM-IPUMS microdata Pointing out interactions between factors of mobility and type of move : Pointing out interactions between factors of mobility and type of move : Statistical significance and interactions effects, Sampling design and geographical specificities, Interactions between type of move, age, educational grades, social status and family status in France, Conclusions, limitations and other ways to work. The particular case of interactions between fertility and mobility : The particular case of interactions between fertility and mobility : The Own Children Method, Interactions between fertility and mobility in France, Exploratory analysis with IECM-IPUMS databases. Slide 3 Census data about internal migration Place of birth Place of birth Previous residence Previous residence at the last census, n (1, 5, 10,..) years ago. Year of settlement Year of settlement for indivudals, for households (the first settlement of a member of the current household). Limitations of these data Limitations of these data Not a complete list of residences, Many errors in previous residence location, Previous residence but no other previous characteristics (social status, family status,). But some consistent results for cross-sectional analysis But some consistent results for cross-sectional analysis Slide 4 International comparisons in the field of internal migration with IECM-IPUMS microdata Slide 5 Slide 6 IC (95%) of Odds ratios estimates of the probability of changing home between 1990 and 1999 by age* (France, 1/20, 1999 Census sample) Logit(Pr{Change Home=1})= + Age+ (class option ; ref age=16) * Logit(Pr{Change Home=1})= + Age+ (class option ; ref age=16) Global statistical significance Slide 7