Can Knowledge Improve Forecasts?

Keyfitz, N. (1982). Can Knowledge Improve Forecasts? IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-83-005. Reprinted from Population and Development Review, 8(4):729-751 (December 1982).

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Abstract

Major theoretical advances in understanding the operating forces of society have not led to corresponding improvement in techniques of forecasting. Ranging across the major socioeconomic theories bearing on demographic trends - from demographic transition theory to human capital theory - this paper asks whether there are scientific results neglected by forecasters that would help population forecasting and, if not, what it is in the nature of scholarship that makes it unusable for this purpose. The static and conditional nature of most theory, the presence of confounding factors that swamp the postulated effect, and uncertainty of timing are among the major limitations in application of theoretical insights to forecasting. Pending discovery of a truly behavioral way of estimating the future, extrapolation of the observed regularities of the past remains the best that can be expected.

Item Type:	Monograph (IIASA Research Report (Reprint))
Research Programs:	World Population (POP)
Bibliographic Reference:	Reprinted from Population and Development Review; 8(4):729-751 (December 1982)
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 01:50
Last Modified:	27 Aug 2021 17:10
URI:	https://pure.iiasa.ac.at/1863

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