Abstract
This article demonstrates the application of simultaneous equation regression methods in analyzing limited time series data for sales and advertising. In testing a model with sales and advertising relationships for filter and non-filter cigarette brands, we could not reject a model in which the advertising elasticity for filter brands is substantially greater than that for nonfilter brands.
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