Article ID: | iaor1994871 |
Country: | United States |
Volume: | 12 |
Issue: | 2 |
Start Page Number: | 144 |
End Page Number: | 166 |
Publication Date: | Mar 1993 |
Journal: | Marketing Science |
Authors: | Boulding William, Staelin Richard |
Keywords: | demand, economics, commerce, forecasting: applications, statistics: regression |
In this paper the authors develop a model relating market share to average costs. They start with a theoretical model of the factors that affect the firm’s average cost curve, partitioning these factors into (a) measurable firm and competitive environment characteristics, and (b) unobserved factors that are either fixed, random, or follow a first-order autoregressive process. The authors then link this theoretical model to an empirical model in which they specify three average cost equations for the organizational areas of purchasing, production, and marketing. Main effects for initial (lagged) market share position, as well as their interactions with factors characterizing the firm’s competitive environment, represent the variables of key theoretical interest in the present equations. The authors estimate these equations using PIMS data, and control for fixed, contemporaneous, and autoregressive unobservable factors. The results suggest that market share can often lead to market power in the form of lower average costs. However, the firm’s operating environment greatly moderates the effect of market share on average cost. In particular, they find that market share position only leads to lower average costs when the organizational unit operates in a competitive environment that gives it