Literature DB >> 29061093

Multistate modelling extended by behavioural rules: An application to migration.

Anna Klabunde1, Sabine Zinn2, Frans Willekens3, Matthias Leuchter1.   

Abstract

We propose to extend demographic multistate models by adding a behavioural element: behavioural rules explain intentions and thus transitions. Our framework is inspired by the Theory of Planned Behaviour. We exemplify our approach with a model of migration from Senegal to France. Model parameters are determined using empirical data where available. Parameters for which no empirical correspondence exists are determined by calibration. Age- and period-specific migration rates are used for model validation. Our approach adds to the toolkit of demographic projection by allowing for shocks and social influence, which alter behaviour in non-linear ways, while sticking to the general framework of multistate modelling. Our simulations yield that higher income growth in Senegal leads to higher emigration rates in the medium term, while a decrease in fertility yields lower emigration rates.

Keywords:  Theory of Planned Behaviour; agent-based modelling; international migration; life course modelling; microsimulation; multistate modelling

Mesh:

Year:  2017        PMID: 29061093     DOI: 10.1080/00324728.2017.1350281

Source DB:  PubMed          Journal:  Popul Stud (Camb)        ISSN: 0032-4728


  1 in total

1.  Soft Randomized Machine Learning Procedure for Modeling Dynamic Interaction of Regional Systems.

Authors:  Yuri S Popkov
Journal:  Entropy (Basel)       Date:  2019-04-20       Impact factor: 2.524

  1 in total

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