Developments in Demographic Forecasting

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This open access book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration. For each component emerging methods to forecast them are presented. Moreover, instruments for forecasting evaluation are provided. Bayesian models, nonparametric models, cohort approaches, elicitation of expert opinion, evaluation of probabilistic forecasts are some of the topics covered in the book. In addition, the book is accompanied by complementary material on the web allowing readers to practice with some of the ideas exposed in the book. Readers are encouraged to use this material to apply the new methods to their own data. The book is an important read for demographers, applied statisticians, as well as other social scientists interested or active in the field of population forecasting. Professional population forecasters in statistical agencies will find useful new ideas in various chapters.


This open access book covers forecasting models for mortality, fertility, and migration Provides new methods of population forecasting Data and codes available for selected chapters

Autorentext

Stefano Mazzuco is an Associate Professor in Demography at the Department of Statistical Sciences in the University of Padova, teaching both Demography and Statistics. He has also been a member of the PhD School in Statistics Board. He he has collaborated with the World Health Organisation (WHO) on the field of health inequality and its costs. He also has research interests in mortality pattern modelling, mainly focusing on age of death distribution modelling.

Nico Keilman is Professor of Demography at the Department of Economics, University of Oslo. He has taught Demography, Statistics, and Econometrics and has held research positions at Statistics Netherlands, the Netherlands Interdisciplinary Demographic Institute, and Statistics Norway. He has more than forty years of research experience in the fields of population forecasting, modelling marriage and household dynamics, and mathematical demography. He was the editor of Demographic Research (2006-2011), and is member of the editorial boards of European Studies of Population, Population (Paris) and Demografie (Praha).


Inhalt

Chapter 1. Introduction.- Chapter 2. Stochastic population forecasting: A Bayesian approach based on evaluation by experts.- Chapter 3. Using expert elicitation to build long-term projection assumptions.- Chapter 4. Post-Transitional Demography and Convergence: What can we Learn from Half a Century of World Population Prospects?.- Chapter 5. Projecting Proportionate AgeSpecific Fertility Rates via Bayesian Skewed Processes.- Chapter 6. A Three-component Approach to Model and Forecast Age-at-death Distributions.- Chapter 7. Alternative forecasts of Danish life expectancy.- Chapter 8. Coherent mortality forecasting with standards: low mortality serves as a guide.- Chapter 9. European mortality forecasts: Are the targets still moving?.- Chapter 10. Bayesian disaggregated forecasts: Internal migration in Iceland.- Chapter 11. Forecasting origin-destination-age-sex migration flow tables with multiplicative components.- Chapter 12. New Approaches to the Conceptualization and Measurementof Age and Ageing.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030424718
    • Editor Nico Keilman, Stefano Mazzuco
    • Sprache Englisch
    • Auflage 1st edition 2020
    • Größe H241mm x B160mm x T21mm
    • Jahr 2020
    • EAN 9783030424718
    • Format Fester Einband
    • ISBN 3030424715
    • Veröffentlichung 29.09.2020
    • Titel Developments in Demographic Forecasting
    • Untertitel The Springer Series on Demographic Methods and Population Analysis 49
    • Gewicht 571g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 268
    • Lesemotiv Verstehen
    • Genre Sozialwissenschaften, Recht & Wirtschaft

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