I present a game-theoretical model to estimate consumption demand, accounting for intra-household interaction among household members. Although multiple Nash equilibria of consumption decisions may exist in a household, model parameters are pointwise identified from household-level data for households with only two members. I propose a semiparametric maximum likelihood estimator and apply it to empirically analyze the subscription decision for cellular phone service in Taiwan. On average, a consumer's probability of subscribing to cellular service rises 35 percentage points when the other household member chooses to subscribe. This result suggests the existence of intra-household network effects on cellular phone consumption. The intra-household effect increases in household income, but decreases in the number of kids and the age difference in a household.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
6813.
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