This paper develops a computationally efficient approach to the estimation of random coefficients logit model of dynamic consumer demand using product panel data. The conventional GMM estimation relies on two computationally intensive fixed point algorithms, each developed by Rust (1987) and...

We study a major new entry in the French mobile telecommunications market, followed by the introduction of fighting brands by the three incumbent firms. Using an empirical oligopoly model with differentiated products, we show that the incumbents' launch of the fighting brands can be rationalized...

This thesis studies the interaction between new and used durable goods without physical depreciation. In product categories such as CDs/DVDs and video games, the competition from used goods markets has been viewed as a serious problem by producers. These products physically depreciate...

This paper provides a step-by-step guide to estimating discrete choice dynamic programming (DDP) models using the Bayesian Dynamic Programming algorithm developed in Imai, Jain and Ching (2008) (IJC). The IJC method combines the DDP solution algorithm with the Bayesian Markov Chain Monte Carlo...

This paper provides a step-by-step guide to estimating discrete choice dynamic programming (DDP) models using the Bayesian Dynamic Programming algorithm developed in Imai, Jain and Ching (2008) (IJC). The IJC method combines the DDP solution algorithm with the Bayesian Markov Chain Monte Carlo...