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Towards Bayesian Model-Based Demography - Agency, Complexity and Uncertainty in Migration Studies (Hardcover, 1st ed. 2022)
Loot Price: R1,547
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Towards Bayesian Model-Based Demography - Agency, Complexity and Uncertainty in Migration Studies (Hardcover, 1st ed. 2022)
Series: Methodos Series, 17
Expected to ship within 12 - 17 working days
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This open access book presents a ground-breaking approach to
developing micro-foundations for demography and migration studies.
It offers a unique and novel methodology for creating empirically
grounded agent-based models of international migration - one of the
most uncertain population processes and a top-priority policy area.
The book discusses in detail the process of building a simulation
model of migration, based on a population of intelligent, cognitive
agents, their networks and institutions, all interacting with one
another. The proposed model-based approach integrates behavioural
and social theory with formal modelling, by embedding the
interdisciplinary modelling process within a wider inductive
framework based on the Bayesian statistical reasoning. Principles
of uncertainty quantification are used to devise innovative
computer-based simulations, and to learn about modelling the
simulated individuals and the way they make decisions. The
identified knowledge gaps are subsequently filled with information
from dedicated laboratory experiments on cognitive aspects of human
decision-making under uncertainty. In this way, the models are
built iteratively, from the bottom up, filling an important
epistemological gap in migration studies, and social sciences more
broadly.
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