Forecasting International Migration in Europe: A Bayesian View
(Sprache: Englisch)
This book examines how to forecast the international migration component in a way that can be used for population forecasts using the probabilistic approach. It applies Bayesian statistical methods to an under-researched area of population forecasting.
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This book examines how to forecast the international migration component in a way that can be used for population forecasts using the probabilistic approach. It applies Bayesian statistical methods to an under-researched area of population forecasting.
Klappentext zu „Forecasting International Migration in Europe: A Bayesian View “
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 book addresses from a methodological perspective a research problem, how to forecast the international migration component in a way that could be then used for population forecasts using the probabilistic approach.
All forecasts are made in the conditions of uncertainty, which is an immanent feature of every inference about the future, a key issue in forecasting becomes not to offer a point estimate of the future values of the variables under study, but rather to provide a reliable assessment of the related uncertainty span, ideally, in a coherent and quantifiable manner.
It consists of three major parts: an overview of existing theories, methods and models used for forecasting migration flows, followed by a proposition of a forecasting framework based on the Bayesian approach in statistics, and then by a discussion of the predictions from the point of view of forecast users (decision-makers).
All forecasts are made in the conditions of uncertainty, which is an immanent feature of every inference about the future, a key issue in forecasting becomes not to offer a point estimate of the future values of the variables under study, but rather to provide a reliable assessment of the related uncertainty span, ideally, in a coherent and quantifiable manner.
It consists of three major parts: an overview of existing theories, methods and models used for forecasting migration flows, followed by a proposition of a forecasting framework based on the Bayesian approach in statistics, and then by a discussion of the predictions from the point of view of forecast users (decision-makers).
Inhaltsverzeichnis zu „Forecasting International Migration in Europe: A Bayesian View “
PART I. INTRODUCTION - 1. Introduction and background - 2. Preliminaries - PART II. EXPLAINING AND FORECASTING MIGRATION - 3. Explaining migration: brief overview of selected theories - 4. Forecasting migration: selected models and methods - PART III. EXAMPLES OF BAYESIAN MIGRATION PREDICTIONS - 5. Bayesian model selection and forecast averaging - 6. Bayesian VAR modelling 'from general to specific' - 7. Selected approaches to discontinuities in trends - 8. Evaluation of presented forecasts of European migration - 9. Bayesian computing in practice (Contributed by Arkadiusz Wisniowski) - PART IV. PERSPECTIVES OF FORECAST MAKERS AND USERS - 10. Extensions and limitations of migration forecasts - 11. Dealing with uncertain forecasts: A policy perspective - PART V. CONCLUSION - 12. Summary and conclusion: beyond migration forecasting - Acknowledgements - References - Subject Index - Index of Names - ANNEX A. Data sources and the preparatory work - ANNEX B. WinBUGS code used in the presented Bayesian forecasts - ANNEX C. Bayesian forecasts of selected migration flows in Europe.
Bibliographische Angaben
- Autor: Jakub Bijak
- 2010, 1st Edition., 316 Seiten, Maße: 16,7 x 24,4 cm, Gebunden, Englisch
- Mitarbeit:Wisniowski, Arkadiusz
- Verlag: Springer Netherlands
- ISBN-10: 9048188962
- ISBN-13: 9789048188963
Sprache:
Englisch
Rezension zu „Forecasting International Migration in Europe: A Bayesian View “
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)
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