Developments in Demographic Forecasting

Nico Keilman

ISBN 10: 303042474X / ISBN 13: 9783030424749

Published by Springer International Publishing, 2021

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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 forforecasting 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.

Seller Inventory # 9783030424749

Bibliographic Details

• Title: Developments in Demographic Forecasting
• Publisher: Springer International Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 303042474X
• ISBN 13: 9783030424749
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 15D millimeters 235 millimeters width by 155 millimeters height by 15 millimeters depth
• Weight: 411 grams

About this title

Synopsis

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.

About the Author

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).