Logo
Munich Personal RePEc Archive

A Comparative Study of Methods for Long-Range Market Forecasting

Armstrong, J. Scott and C., Michael (1972): A Comparative Study of Methods for Long-Range Market Forecasting. Published in: Management Science No. 19 (1972): pp. 211-221.

[thumbnail of MPRA_paper_81673.pdf]
Preview
PDF
MPRA_paper_81673.pdf

Download (359kB) | Preview

Abstract

The following hypotheses about long-range market forecasting were examined: Hl Objective methods provide more accuracy than do subjective methods. H2 The relative advantage of objective over subjective methods increases as the amount of change in the environment increases. H3 Causal methods provide more accuracy than do naive methods. H4 The relative advantage of causal over naive methods increases as the amount of change in the environment increases. Support for these hypotheses was then obtained from the literature and from a study of a single market. The study used three different models to make ex ante forecasts of the U.S. air travel market from 1963 through 1968. These hypotheses imply that econometric methods are more accurate for long range market forecasting than are the major alternatives, expert judgment and extrapolation, and that the relative superiority of econometric methods increases as the time span of the forecast increases.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.