Forecasting International Migration in Europe: A Bayesian View
Authors: Bijak, Jakub
Free Preview- The book applies known, although seldom used by demographers, Bayesian statistical methods in one of the most under-researched areas of population forecasting
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- About this book
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International migration is becoming an increasingly important element of contemporary demographic dynamics and yet, due to its high volatility, it remains the most unpredictable element of population change. In Europe, population forecasting is especially difficult because good-quality data on migration are lacking. There is a clear need for reliable methods of predicting migration since population forecasts are indispensable for rational decision making in many areas, including labour markets, social security or spatial planning and organisation. In addressing these issues, this book adopts a Bayesian statistical perspective, which allows for a formal incorporation of expert judgement, while describing uncertainty in a coherent and explicit manner. No prior knowledge of Bayesian statistics is assumed. The outcomes are discussed from the point of view of forecast users (decision makers), with the aim to show the relevance and usefulness of the presented methods in practical applications. “This is a great book that represents a step-change in the forecasting of international migration. Jakub Bijak advocates for the use of Bayesian statistics - a natural way to combine subjective prior information with statistical data. The Bayesian framework provides also a natural way to further develop the migration forecasting process that is ultimately aimed at accounting for and reducing the different uncertainties, and that involves cognitive agents with different expertise - migration experts, population forecasters and forecast users - in order to accomplish that aim. The book is a must for everyone interested knowing how migration, especially international, will evolve and respond to changing conditions, events and policies.” <Prof. Frans Willekens, Director of the Netherlands Interdisciplinary Demographic Institute (NIDI), The Hague, and Professor of Population Studies, University of Groningen
- Reviews
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From the reviews:
“Forecasters know (or at least should know) that their forecasts never come true and that the magnitude of error increases with the forecast's horizon. Jakub Bijak proposes an elegant solution to this problem, namely an application of Bayesian statistics to migration forecasting. Methodology he proposes allows for quantification of forecast uncertainty, giving the forecast's user an idea of how accurate the forecast is. As in the past a transition form single-regional to multi-regional forecasts constituted a milestone in demographic forecasting, the methodology proposed by Bijak and advocated earlier by other demographers will constitute a similar milestone in the future.” Dr Marek Kupiszewski, Director of the Central European Forum for Migration and Population Research in Warsaw
“The book is structured in five parts comprising twelve chapters. … The book is well-addressed to both policy- and theory-oriented readers, demographers and in particular statistical demographers, as well as to postgraduate students of demography and migration.” (Christina Diakaki, Zentralblatt MATH, Vol. 1209, 2011)
- Table of contents (12 chapters)
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Introduction and Background
Pages 3-13
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Preliminaries
Pages 15-34
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Explaining Migration: Brief Overview of Selected Theories
Pages 37-51
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Forecasting Migration: Selected Models and Methods
Pages 53-87
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Bayesian Model Selection and Forecast Averaging
Pages 91-116
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Table of contents (12 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Forecasting International Migration in Europe: A Bayesian View
- Authors
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- Jakub Bijak
- Series Title
- The Springer Series on Demographic Methods and Population Analysis
- Series Volume
- 24
- Copyright
- 2011
- Publisher
- Springer Netherlands
- Copyright Holder
- Springer Science+Business Media B.V.
- eBook ISBN
- 978-90-481-8897-0
- DOI
- 10.1007/978-90-481-8897-0
- Hardcover ISBN
- 978-90-481-8896-3
- Softcover ISBN
- 978-94-007-3395-4
- Series ISSN
- 1389-6784
- Edition Number
- 1
- Number of Pages
- XXIV, 316
- Additional Information
- With contribution by Arkadiusz Wisniowski
- Topics
