Keane (1997) Modeling Heterogeneity and State Dependence in Consumer Choice Behavior

discrete-choicemultinomial-probitstate-dependenceconsumer-heterogeneitybrand-choicemethod-of-simulated-momentsscanner-datapanel-data

Summary

This paper confronts the classic problem of disentangling preference heterogeneity from true state dependence as competing explanations for the well-documented persistence in consumers' brand choices. Using Nielsen scanner panel data on ketchup purchases, Keane estimates a multinomial-probit brand-choice model that simultaneously admits a rich heterogeneity structure (serially correlated and random-effect errors) and a genuine state-dependence (lagged-choice) term — estimated by the method of simulated moments with the GHK simulator he had developed for panel LDV models. He finds evidence of true state dependence even after controlling for rich heterogeneity, but simulations show the long-run effect of a promotion-induced purchase on future purchase probabilities is positive and small.

Key Claims

Concepts Introduced or Extended

Entities Mentioned

Quotes

"The fact that brand choices of consumers exhibit persistence is consistent with two diametrically opposed patterns of consumer behavior."

"I find evidence for true state dependence in the choice process, even after controlling for a rich heterogeneity structure."

My Take

The methodological point outlives the ketchup: observed persistence is an analyst's description of the data, not a behavioral fact, and the same pattern can come from stable tastes (heterogeneity) or from history genuinely changing preferences (state dependence) — two mechanisms with opposite policy implications. The contribution is doing what earlier work ducked — putting both in one model and letting the data apportion — which is only feasible because the GHK/MSM machinery from Keane (1994) makes the panel multinomial-probit tractable. For the wiki it grounds the discrete-choice and consumer-heterogeneity pages in a concrete identification problem, and its "small long-run promotion effect" is a nice empirical caution against overstating brand-loyalty dynamics. The caveat is the usual one for this literature: the heterogeneity/state-dependence split is identified largely off functional-form and error-structure assumptions, so the conclusion is conditional on the specification being rich enough.