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pro vyhledávání: '"Juha M. Alho"'
Autor:
Juha M. Alho
Publikováno v:
Finnish Yearbook of Population Research, Vol 36 (2000)
Gunnar Modeen made the first cohort-component forecast for Finland in 1934. This was a time when demographic transition was just over, but that fact could not have been known at the time. Would it have made any difference if Modeen had had the tools
Externí odkaz:
https://doaj.org/article/eda014108f9b4714b305be86d9d4ed45
Autor:
Juha M. Alho
Publikováno v:
Finnish Yearbook of Population Research, Vol 33 (1996)
Externí odkaz:
https://doaj.org/article/e10776c0d4e9405e95537ee717e70204
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
Autor:
Juha M. Alho
Publikováno v:
Demographic Research Monographs ISBN: 9783030050740
The concept of “probability” is used as a step in life table construction to get the expected number of survivors in a cohort. However, in traditional texts on demographic methods (e.g., Shryock and Siegel 1976), variance in the number of survivo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7607638ed89e5f743279affa5d69bfb3
https://doi.org/10.1007/978-3-030-05075-7_10
https://doi.org/10.1007/978-3-030-05075-7_10
Autor:
Juha M. Alho
Publikováno v:
Demographic Research Monographs ISBN: 9783030050740
Let μ (x,t) be the hazard (or force) of mortality in age x at time t. Define p(x,t) as the probability of surviving to age x, under the hazards of time t, or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aec92faae8f9a43b840d5b19d42a1603
https://doi.org/10.1007/978-3-030-05075-7_15
https://doi.org/10.1007/978-3-030-05075-7_15
Autor:
Juha M. Alho
Publikováno v:
Demographic Research Monographs ISBN: 9783030050740
The first official cohort-component projection of the population of Finland was prepared by Gunnar Modeen (1934a), an actuary with the Central Statistical Office of Finland at the time. Modeen’s work had elements of genuine forecasting in that he c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::025941c04f2e7dac01a133bb51b5d563
https://doi.org/10.1007/978-3-030-05075-7_3
https://doi.org/10.1007/978-3-030-05075-7_3
Autor:
Tommy Bengtsson, Nico Keilman, Juha M. Alho, Kaare Christensen, Edward Palmer, James W. Vaupel
Publikováno v:
Demographic Research Monographs ISBN: 9783030050740
Bengtsson, T, Keilman, N, Alho, J, Christensen, K, Palmer, E & Vaupel, J W 2019, Introduction . in T Bengtsson & N Keilman (eds), Old and New Perspectives on Mortality Forecasting . Springer, Demographic Research Monographs, pp. 1-19 . https://doi.org/10.1007/978-3-030-05075-7_1
Bengtsson, T, Keilman, N, Alho, J, Christensen, K, Palmer, E & Vaupel, J W 2019, Introduction . in T Bengtsson & N Keilman (eds), Old and New Perspectives on Mortality Forecasting . Springer, Demographic Research Monographs, pp. 1-19 . https://doi.org/10.1007/978-3-030-05075-7_1
Globally, the twenty-first century will witness rapid population ageing. Already in 2050, one out of five persons in the world, and one out of three in Europe, is expected to be 60 or over (UN 2015). Moreover, we have entered into a new stage of popu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af6df45f73a9158d9e353dbc507b5e13
https://doi.org/10.1007/978-3-030-05075-7_1
https://doi.org/10.1007/978-3-030-05075-7_1
Autor:
Juha M. Alho, Nico Keilman
Publikováno v:
Journal of the Royal Statistical Society: Series A (Statistics in Society). 173:117-143
Summary. We develop a method for computing probabilistic household forecasts which quantifies uncertainty in the future number of households of various types in a country. A probabilistic household forecast helps policy makers, planners and other for
Autor:
Juha M. Alho
Publikováno v:
Revue économique. 59:927-940
On considere souvent que les mouvements demographiques sont lents, surtout lorsqu’on les compare a la volatilite des variables economiques. Pourtant, dans certains cas, les chocs demographiques semblent avoir des consequences economiques. Meme la m
Autor:
Juha M. Alho
Publikováno v:
International Journal of Forecasting. 24:343-353
Stochastic methods of multi-state population modeling are less developed than methods for single states for two reasons. First, the structure of a multi-state population is inherently more complex than that of a single state because of state-to-state