Title

An ARIMA Methodology for Examining the Competitive Hypothesis in Fresh Vegetable Markets

Publication Date

1-1-1997

Publication Name

Studies in Regional Science

Volume

27

Issue

2

First Page

49

Last Page

57

Source Full Text URL

https://doi.org/10.2457/srs.27.2_49

Document Type

Article

DOI

10.2457/srs.27.2_49

Abstract

In recent years, applied time series analyses have increasingly relied on univariate time series models of the Box-Jenkins type. When economists and forecasters apply ARIMA models to their data, they frequently fail to take advantage of the qualitative information embodied in the results. This paper provides an example of how such information acquisition may be accomplished. The models were originally proposed as a means to develop forecasting mechanisms for the generation of expected prices in an analysis of fresh vegetable market supply functions. In this paper, a technique is presented showing how these same models provide information about market structure. First, a formal statistical test is proposed. Second, when this test cannot be applied, intuitive observations on general model characteristics are proposed. © 1997, JAPAN SECTION OF THE REGIONAL SCIENCE ASSOCIATION INTERNATIONAL. All rights reserved.

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