This paper is concerned with clustering in demand. We present a discrete choice model of consumption that incorporates habit formation and information exchange among consumers in fixed social networks. We provide an analytical solution to a special case of the model by using technical tools from chemistry and biology. We demonstrate the validity of these results for the general case numerically. It is shown that clustering in demand is a solution to the complex system we are analyzing, and that clustering pattern can be short-term or long-lasting depending on the characteristics of the society.
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Paper provided by United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology in its series UNU-MERIT Working Paper Series with number
047.
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