There is now a very large literature on dynamic models in marketing. In a narrow sense, dynamics can be understood as a mechanism whereby past product purchases affect a person's current evaluation of the utility he/she will obtain from buying a product. Most of the prior literature has focussed...

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...

For information/digital products, the used goods market has been viewed as a threat by producers. However, it is not clear if this view is justified because the used goods market also provides owners with an opportunity to sell their products. To investigate the impact of the used goods market...

Public policies that intervene or restrict consumer choices for the benefit of the society are often controversial. For instance, the compliance rate of COVID-19 pandemic social distancing rules varied dramatically across cities and states, and these policies even backfired among some consumers...