Literature DB >> 12155424

Methods for national population forecasts: a review.

K C Land.   

Abstract

"Three widely used classes of methods for forecasting national populations are reviewed: demographic accounting/cohort-component methods for long-range projections, statistical time series methods for short-range forecasts, and structural modeling methods for the simulation and forecasting of the effects of policy changes. In each case, the major characteristics, strengths, and weaknesses of the methods are described. Factors that place intrinsic limits on the accuracy of population forecasts are articulated. Promising lines of additional research by statisticians and demographers are identified for each class of methods and for population forecasting generally." excerpt

Keywords:  Cohort Analysis; Comparative Studies; Demographic Factors; Estimation Technics; Measurement; Methodological Studies; Models, Theoretical; Population; Population Dynamics; Population Forecast; Population Projection; Reliability; Research Methodology; Time Factors; World

Mesh:

Year:  1986        PMID: 12155424     DOI: 10.1080/01621459.1986.10478347

Source DB:  PubMed          Journal:  J Am Stat Assoc        ISSN: 0162-1459            Impact factor:   5.033


  7 in total

1.  Heterogeneity and selection in multistate population analysis.

Authors:  A Rogers
Journal:  Demography       Date:  1992-02

2.  Alternative projections of the U.S. population.

Authors:  D A Ahlburg; J W Vaupel
Journal:  Demography       Date:  1990-11

3.  Can knowledge improve population forecasts at subcounty levels?

Authors:  Guangqing Chi
Journal:  Demography       Date:  2009-05

4.  Forecasting mortality: a parameterized time series approach.

Authors:  R McNown; A Rogers
Journal:  Demography       Date:  1989-11

5.  Stochastic population forecasting based on combinations of expert evaluations within the Bayesian paradigm.

Authors:  Francesco C Billari; Rebecca Graziani; Eugenio Melilli
Journal:  Demography       Date:  2014-10

6.  Stability over time in the distribution of population forecast errors.

Authors:  S K Smith; T Sincich
Journal:  Demography       Date:  1988-08

7.  Stochastic population forecasts based on conditional expert opinions.

Authors:  F C Billari; R Graziani; E Melilli
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2012-04       Impact factor: 2.483

  7 in total

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