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一种预测澳大利亚总活产数的时间序列方法。

A time series approach to forecasting Australian total live-births.

作者信息

McDonald J

出版信息

Demography. 1979 Nov;16(4):575-601.

PMID:520642
Abstract

The relationship between classical demographic deterministic forecasting models, stochastic structural econometric models and time series models is discussed. Final equation autoregressive moving average (ARMA) models for Australian total live-births are constructed. Particular attention is given to the problem of transforming the time series to stationarity (and Gaussianity) and the properties of the forecasts are analyzed. Final form transfer function models linking births to females in the reproductive age groups are also constructed and a comparison of actual forecast performance using the various models is made. Long-run future forecasts are generated and compared with available projections based on the deterministic cohort model after which some policy implications of the analysis are considered.

摘要

讨论了经典人口统计学确定性预测模型、随机结构计量经济学模型和时间序列模型之间的关系。构建了澳大利亚总出生人数的最终方程自回归移动平均(ARMA)模型。特别关注将时间序列转换为平稳性(和高斯性)的问题,并分析了预测的属性。还构建了将出生人数与育龄组女性联系起来的最终形式传递函数模型,并对使用各种模型的实际预测性能进行了比较。生成了长期未来预测,并与基于确定性队列模型的可用预测进行了比较,之后考虑了该分析的一些政策含义。

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本文引用的文献

1
Modeling and forecasting populations by time series: The Swedish case.
Demography. 1974 Aug;11(3):483-92. doi: 10.2307/2060440.
2
Forecasting births in post-transition population: stochastic renewal with serially correlated fertility.转型后人口的出生预测:具有序列相关生育率的随机更新
J Am Stat Assoc. 1974 Sep;69(347):607-17. doi: 10.1080/01621459.1974.10480177.
3
Births time series models and structural interpretations.出生时间序列模型与结构解释。
J Am Stat Assoc. 1980;75(369):39-41. doi: 10.1080/01621459.1980.10477418.
Demography. 1984 Nov;21(4):673-82.
4
Seasonal fertility cycles in rural Egypt: behavioral and biological linkages.埃及农村的季节性生育周期:行为与生物学联系
Demography. 1986 Feb;23(1):13-30.
5
Forecasting mortality: a parameterized time series approach.预测死亡率:一种参数化时间序列方法。
Demography. 1989 Nov;26(4):645-60.