Literature DB >> 2583322

Forecasting mortality: a parameterized time series approach.

R McNown1, A Rogers.   

Abstract

This article links parameterized model mortality schedules with time series methods to develop forecasts of U.S. mortality to the year 2000. The use of model mortality schedules permits a relatively concise representation of the history of mortality by age and sex from 1900 to 1985, and the use of modern time series methods to extend this history forward to the end of this century allows for a flexible modeling of trend and the accommodation of changes in long-run mortality patterns. This pilot study demonstrates that the proposed procedure produces medium-range forecasts of mortality that meet the standard tests of accuracy in forecast evaluation and that are sensible when evaluated against the comparable forecasts produced by the Social Security Administration.

Mesh:

Year:  1989        PMID: 2583322

Source DB:  PubMed          Journal:  Demography        ISSN: 0070-3370


  13 in total

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7.  Modeling and forecasting populations by time series: The Swedish case.

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8.  On the theory and measurement of the determinants of mortality.

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10.  Parameters of mortality in human populations with widely varying life spans.

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9.  Decelerating mortality rates in older ages and its prospects through Lee-Carter approach.

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  9 in total

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