An Efficient Nonparametric Test of the Collective Household Model
نویسنده
چکیده
The collective household model has emerged as one of the dominant models for studying household consumption behavior. This paper considers a special case of the collective model known as the situation dependent dictatorship model. This model is particularly suited to household scanner data where the bundle of goods purchased by the household is observed but the household member who made the purchasing decision is not. We show that the nonparametric test of this model is NP-Complete and provide an intuitive and computationally efficient approximate algorithm for implementing the test.
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