Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/189704 
Year of Publication: 
2017
Series/Report no.: 
cemmap working paper No. CWP12/17
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
We extend the Berry, Levinsohn and Pakes (BLP, 1995) random coeffcients discrete-choice demand model, which underlies much recent empirical work in IO. We add interactive fixed effects in the form of a factor structure on the unobserved product characteristics. The interactive fixed effects can be arbitrarily correlated with the observed product characteristics (including price), which accommodates endogeneity and, at the same time, captures strong persistence in market shares across products and markets. We propose a two-step least squares-minimum distance (LS-MD) procedure to calculate the estimator. Our estimator is easy to compute, and Monte Carlo simulations show that it performs well. We consider an empirical illustration to US automobile demand.
Subjects: 
discrete-choice demand model
interactive fixed effects
factor analysis
panel data
random utility model
JEL: 
C23
C25
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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