Predictability, complexity, and catastrophe in a collapsible model of population, development, and environmental interactions

Predictability, complexity, and catastrophe in a collapsible model of population, development, and environmental interactions

Authors:   Sanderson WC

Publication Year:   1995

Reference:  Mathematical Population Studies, 5(3):259-279 (1995)

. Special Issue: Population Projections: Simple vs Complex Models. Also available as IIASA Working Paper WP-94-075 www.iiasa.ac.at/Admin/PUB/Documents/WP-94-075.pdf

Abstract

More and more population forecasts are being produced with associated 95 percent confidence intervals. How confident are we of those confidence intervals? In this paper, we produce a simulated dataset in which we know both past and future population sizes, and the true 95 percent confidence intervals at various future dates. We use the past data to produce population forecasts and estimated 95 percent confidence intervals using various functional forms. We, then, compare the true 95 percent confidence intervals with the estimated ones. This comparison shows that we are not at all confident of the estimated 95 percent confidence intervals.
KEYWORDS: Population forecasting; Population confidence intervals; Population prediction intervals; Model complexity; Demographic economic and environmental interactions

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