A Market Attraction Model for Predicting the U.S. Market Share of Large Civil Aircraft

Department

Civil Engineering

Document Type

Article

Publication Title

Journal of Air Transport Management

ISSN

1873-2089

Volume

6

Issue

1

DOI

10.1016/S0969-6997(99)00017-4

First Page

3

Last Page

11

Publication Date

1-1-2000

Abstract

With global annual sales exceeding $65 billion, the large civil aircraft industry is an important economic and strategic element of the European Union and US economies. Here we define large civil aircraft (LCA) as those aircraft with capacities exceeding 121 passengers and dedicated to the air passenger market served by commercial airlines. This paper employs a transformed log-centered market attraction model to forecast the US market share of LCA. This model specification ensures that the predicted market share is in the range [0,1] and that the sum of all predicted market shares is equal to 1.0, both logical process requirements. In this special case, where there are two producers, the market attraction model becomes a logit regression model. Here we specify the logit regression model as an autoregressive distributed lag model in which US market share is predicted by quantitative and qualitative predictor variables, an autoregressive lag operator and a linear trend component.

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