Endogenous Reactivity in a Dynamic Model of Consumer’s Choice

We move from a boundedly rational consumer model (Naimzada and Tramontana, 2008,2010) characterized by a gradient-like decisional process in which, under particular parameters conditions, the asymptotical convergence to the optimal choice does not happen but it does under a least squared learning mechanism. In the present work we prove that even a less sophisticated learning mechanism lead to convergence to the rational choice and also prove that convergence in ensured when both learning mechanisms are available. The stability results that we obtain give more strength to the rational behavior assumption of the original model, in fact the less demanding is the learning mechanism ensuring convergence to the rational behavior, the higher is the probability that even quite naive consumers will learn the composition of their optimum consumption bundles.