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BLP Demand Estimation with Aggregate Data by akshay patri is a document available to read on EtoBox.

The document summarizes the Berry-Levinsohn-Pakes (BLP) method for estimating discrete choice demand models using aggregate market level data. It discusses why BLP has become popular in marketing for demand estimation. The key challenges with aggregate data are accounting for consumer heterogeneity and endogenous product attributes. The document reviews the BLP random coefficients logit model and algorithm for estimating it using aggregate data. It also discusses special cases like homogeneous and nested lo

Author
akshay patri
Language
EN