Анализ и прогнозирование демографических процессов с использованием модели Ли-Картера; Перспективы развития фундаментальных наук
| Parent link: | Перспективы развития фундаментальных наук.— 2012.— [С. 548-550] |
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| Autore principale: | |
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| Riassunto: | Заглавие с экрана Time series methods are used to make long-run forecasts, with confidence intervals, of age-specific mortality in Russia Federation from 2010 to 2065. This research describes the basic method, published in 1992 by Lee and Carter for long-run forecasts of the level and age pattern of mortality, that based on a combination of statistical time series methods and a simple approach to dealing with the age distribution of mortality. The model describes the log of a time series of age-specific death rates as the sum of an independent of time age-specific component and another component that is the product of a time-varying parameter reflecting the general level of mortality. Age-specific component represents velocity of mortality variance at each age when the general level of mortality changes. The model is fit to historical data. |
| Lingua: | russo |
| Pubblicazione: |
2012
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| Serie: | Математика |
| Soggetti: | |
| Accesso online: | http://www.lib.tpu.ru/fulltext/c/2012/C21/184.pdf |
| Natura: | Elettronico Capitolo di libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=238533 |
| Descrizione fisica: | 1 файл(662 Кб) |
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| Riassunto: | Заглавие с экрана Time series methods are used to make long-run forecasts, with confidence intervals, of age-specific mortality in Russia Federation from 2010 to 2065. This research describes the basic method, published in 1992 by Lee and Carter for long-run forecasts of the level and age pattern of mortality, that based on a combination of statistical time series methods and a simple approach to dealing with the age distribution of mortality. The model describes the log of a time series of age-specific death rates as the sum of an independent of time age-specific component and another component that is the product of a time-varying parameter reflecting the general level of mortality. Age-specific component represents velocity of mortality variance at each age when the general level of mortality changes. The model is fit to historical data. |