Towards Bayesian Model-Based Demography Agency, Complexity and Uncertainty in Migration Studies
Synopsis
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.Book details
- Edition:
- 1st ed. 2022
- Series:
- Methodos Series (Book 17)
- Author:
- Jakub Bijak
- ISBN:
- 9783030830397
- Related ISBNs:
- 9783030830380
- Publisher:
- Springer International Publishing
- Pages:
- N/A
- Reading age:
- Not specified
- Includes images:
- Yes
- Date of addition:
- 2022-12-17
- Usage restrictions:
- Copyright
- Copyright date:
- 2022
- Copyright by:
- The Editor
- Adult content:
- No
- Language:
- English
- Categories:
- Mathematics and Statistics, Nonfiction, Social Studies, Sociology