Estimation of demand is at the heart of many recent studies that examine qu
estions of market power, mergers, innovation, and valuation of new brands i
n differentiated-products markets. This paper focuses on one of the main me
thods for estimating demand for differentiated products: random-coefficient
s logit models. The paper carefully discusses the latest innovations in the
se methods with the hope of increasing the understanding, and therefore the
trust among researchers who have never used them, and reducing the difficu
lty of their use, thereby aiding in realizing their full potential.