Population Forecasting 1895 1945

Authors, scholars and scientists whose mother tongue is not one of the major languages of international communication are seriously disadvantaged. Some individuals, such as Joseph Conrad or Vladimir Nabokov, have overcome that handicap brilliantly. Others learn to live with it: they can express themselves sufficiently lucidly in a second language to make their voice heard internation ally. At least when they have something original or striking to say they will be certain to reach their peers. Most scientists and scholars fall into that category. Others, again, have to wait until their work has been translated before its value is recognised. This may apply even to those whose mother tongue is widely read. The writings of Frenchmen Lyotard, Derrida, Baudrillard or Foucault on post-modernism, on language, discourse and power, for example, had tremendous world-wide impact only after English translations appeared on the market. De Gans' study of the development of population forecasting in The Nether lands is another striking illustration of the effects a language barrier may have. He demonstrates convincingly that although a -possibly some what awkward Dutchman named Wiebols, was a pioneer of modern cohort component demo graphic forecasting, he never received international recognition for this. In his thesis of 1925 Wiebols employed the newest instruments of demographic analysis in improving forecasting methodology.

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 book examines the interrelations of population change, developments in projection methodology, and politics in the 1920s and 1930s. Together, the contributions in the book represent an important scholarly and critical contribution to the history of d

There is widespread acceptance that much of the developed world faces a potential pensions and welfare crisis as a result of declining birth rates and an ageing population. However, there is considerable uncertainty about the specifics of demographic forecasting and this has significant implications for public finances. Uncertain Demographics and Fiscal Sustainability addresses the economic consequences of uncertainty and, with particular reference to European economies, explores the impact of demographic risks on public finances, including pension systems, health care and old-age care expenditures. Covering a spectrum of theoretical and empirical approaches, different types of computational models are used to demonstrate not only the magnitudes of the uncertainties involved but also how these can be addressed through policy initiatives. The book is divided into four parts covering demographic, measurement, policy and methodological issues. Each part is followed by a discussion essay that draws out key elements and identifies common themes.

This open access book describes methods of mortality forecasting and discusses possible improvements. It contains a selection of previously unpublished and published papers, which together provide a state-of-the-art overview of statistical approaches as well as behavioural and biological perspectives. The different parts of the book provide discussions of current practice, probabilistic forecasting, the linearity in the increase of life expectancy, causes of death, and the role of cohort factors. The key question in the book is whether it is possible to project future mortality accurately, and if so, what is the best approach. This makes the book a valuable read to demographers, pension planners, actuaries, and all those interested and/or working in modelling and forecasting mortality.