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 paper provides a step-by-step guide to estimating infinite horizon discrete choice dynamic programming (DDP) models using a new Bayesian estimation algorithm (Imai, Jain and Ching, Econometrica 77:1865-1899, 2009) (IJC). In the conventional nested fixed point algorithm, most of the...

Previous work has mostly looked at how acquisitions affect firm-level outcomes. This paper investigates how acquisitions affect product-level outcomes in the context of the console video game industry. We model the effect of acquisitions on video games' innovativeness, quality, and sales...

We develop a Bayesian Markov chain Monte Carlo (MCMC) algorithm for estimating finite-horizon discrete choice dynamic programming (DDP) models. The proposed algorithm has the potential to reduce the computational burden significantly when some of the state variables are continuous. In a...

New product release preannouncement is a pre-release communication process for sending a message to target groups such as consumers, competitors, and/or stockholders. Despite its importance, little has been empirically investigated about the strategic role of its timing. In this paper, we focus...

Consumers commonly seek information from critic and consumer reviews when new product quality remains uncertain. However, consumer reviews are endogenous and may be subject to potential biases (e.g., self-selection). In this paper, we propose a new dynamic structural model where forward-looking...

'Frequent-buyer' type of rewards program is a commonly used marketing tool for companies to compete for market shares. It also provides an unique environment for studying consumer's forward-looking behavior. The consumer's problem on accumulating reward points can be formulated as a stationary...