Estimation of random coefficients logit demand models with interactive fixed effects

A-Tier
Journal: Journal of Econometrics
Year: 2018
Volume: 206
Issue: 2
Pages: 613-644

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We extend the Berry, Levinsohn and Pakes (BLP, 1995) random coefficients 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 accommodate endogeneity and, at the same time, capture 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.

Technical Details

RePEc Handle
repec:eee:econom:v:206:y:2018:i:2:p:613-644
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-26