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Time Series Properties and Stochastic Forecasts: Some Econometrics of Mortality from the Canadian Laboratory

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Author Info
Frank T. Denton
Christine H. Feaver
Byron G. Spencer

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Abstract

Methods for time series modeling of mortality and stochastic forecasting of life expectancies are explored, using Canadian data. Consideration is given first to alternative indexes of aggregate mortality. Age-sex group system models are then estimated. Issues in the forecasting of life expectancies are discussed and their quantitative implications investigated. Experimental stochastic forecasts are presented and discussed, based on nonparametric, partially parametric, and fully parametric methods, representing alternatives to the well known Lee- Carter method. Some thoughts are offered on the interpretation of historical data in generating future probability distributions, and on the treatment of demographic uncertainty in long-run policy planning.

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File URL: http://socserv.mcmaster.ca/qsep/p/qsep360.pdf
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Publisher Info
Paper provided by McMaster University in its series Quantitative Studies in Economics and Population Research Reports with number 360.

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Length: 56 pages
Date of creation: Jun 2001
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Handle: RePEc:mcm:qseprr:360

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Related research
Keywords: mortality; life expectancy; stochastic forecasting;

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Find related papers by JEL classification:
C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
J10 - Labor and Demographic Economics - - Demographic Economics - - - General

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