Forecasting Mortality in Developed Countries

. Ed(s): Tabeau, Ewa; Berg Jeths, Anneke van den; Heathcote, C.R.

ISBN 10: 0792368339 / ISBN 13: 9780792368335

Published by Kluwer Academic Publishers, 2001

About this Item

Information on future mortality trends is essential for population forecasts, public health policy, actuarial studies, and many other purposes. This volume contains contributions to the theory and practice of forecasting mortality in the relatively favourable circumstances in developed countries of Western Europe. Editor(s): Tabeau, Ewa; Berg Jeths, Anneke van den; Heathcote, C.R. Series: European Studies of Population. Num Pages: 306 pages, biography. BIC Classification: 1DD; 1QFH; JHBD. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 244 x 166 x 25. Weight in Grams: 618. . 2001. Hardback. . . . .

Seller Inventory # V9780792368335

Bibliographic Details

• Title: Forecasting Mortality in Developed Countries
• Publisher: Kluwer Academic Publishers
• Publication Date: 2001
• Language: English
• ISBN 10: 0792368339
• ISBN 13: 9780792368335
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Information on future mortality trends is essential for population forecasts, public health policy, actuarial studies, and many other purposes. Realising the importance of such needs, this volume contains contributions to the theory and practice of forecasting mortality in the relatively favourable circumstances in developed countries of Western Europe.
In this context techniques from mathematical statistics and econometrics can provide useful descriptions of past mortality. The naive forecast obtained by extrapolating a fitted model may give as good a forecast as any but forecasting by extrapolation requires careful justification since it assumes the prolongation of historical conditions. On the other hand, whilst it is generally accepted that scientific and other advances will continue to impact on mortality, perhaps dramatically so, it is impossible to quantify more than the outline of future consequences with a strong degree of confidence. The decision to modify an extrapolation of a model fitted to historical data (or conversely choosing not to modify it) in order to obtain a forecast is therefore strongly influenced by subjective and judgmental elements, with the quality of the latter dependent on demographic, epidemiological and indeed perhaps more general considerations. The thread running through the book reflects therefore the necessity of integrating demographic, epidemiological, and statistical factors to obtain an improvement in the prediction of mortality.