The theoretical literature in economics has established causality from cost dispersion to price dispersion in a market for a homogeneous good in which buyers face search cost. In that literature, it is generally assumed that the cost distribution in the market is exogenous. In this paper we explore bidirectional causality between costs and prices, motivated by a long run perspective under which there are entry decisions on the sellers’ side on the basis of information about past prices. Moreover, we assume that decision makers do not have full information about former prices but they have access to a statistical estimate of past prices, typically provided by some external agency. We introduce a evolutionary discrete time model for the interaction of agents in the market which we analyze numerically. We show that, in this scenario of mutual influence between cost and prices, price dispersion (and cost dispersion) prevail in the stationary regime of the market. We provide evidence that features of the stationary price distribution are related with those of the initial distributions of price and costs and, in particular, we characterize initial conditions to deliver stationary leptokurtic price distributions, which have been recently reported to be prevalent in many markets.