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Ageing in Advanced Industrial States: Riding the Age Waves - by Ian Pool (auth.), Shripad Tuljapurkar, Naohiro Ogawa, Anne

By Ian Pool (auth.), Shripad Tuljapurkar, Naohiro Ogawa, Anne H. Gauthier (eds.)

Population development slowed the world over within the final a long time of the 20th century, altering considerably our view of the long run. The 21st century is probably going to determine the top to global inhabitants progress and turn into the century of inhabitants getting older, marked by means of low fertility and ever-increasing existence expectancy. those tendencies have triggered many to foretell a depressing destiny because of an exceptional fiscal burden of inhabitants getting older. In reaction, industrialized countries might want to enforce potent social and fiscal rules and courses.

This is the ultimate quantity in a chain of 3. The papers integrated discover many examples and develop the root for powerful fiscal and social rules by way of investigating the industrial, social, and demographic effects of the modifications within the buildings of inhabitants and relatives. those effects contain alterations in monetary habit, either in exertions and fiscal markets, and with reference to saving and intake, and intergenerational transfers of cash and care.

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Additional info for Ageing in Advanced Industrial States: Riding the Age Waves - Volume 3

Example text

It has been applied to a large number of individual countries, as well as to a group of 18 European countries (Alho et al. 2006, 2008; Alders et al. 2007). The multi-country setup in this latter project avoided the idiosyncrasies often connected with single-region stochastic and deterministic forecasts]. The general conclusion that mortality improvements for industrialized countries have been underestimated leads to the question of how mortality projections, and thus forecasts for the elderly population, can be improved.

This is an English translation of the work that Lotka published in the two-part Théorie Analytique des Associations Biologiques in 1934 and 1939, and represents Lotka’s contributions to the field of demographic analysis. 1 26 N. Keilman of mortality p(a) (see Coale and Demeny 1983). e. an age pattern p(a) and a mortality level e0) and next to find a stable population for which the age structure closely resembles that of the empirical population2. The goodness of fit indicates whether or not one should choose a different life table.

See also Lotka’s Analytical theory of biological populations. New York: Plenum Press, 1998 (Plenum Series on Demographic Methods and Population Analysis). This is an English translation of the work that Lotka published in the two-part Théorie Analytique des Associations Biologiques in 1934 and 1939, and represents Lotka’s contributions to the field of demographic analysis. 1 26 N. Keilman of mortality p(a) (see Coale and Demeny 1983). e. an age pattern p(a) and a mortality level e0) and next to find a stable population for which the age structure closely resembles that of the empirical population2.

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