Marketing Modeling for New Products
This thesis addresses the analysis of new or very recent marketing data and the introduction of new marketing models. We present a collection of models that are useful to analyze (1) the optimal launch time of new and dominant technologies, (2) the triggers, speed and timing of new products’ price landings, (3) the consumer heterogeneity that drives substitution patterns present in aggregate data, and (4) the influential locations that drive the diffusion of new technologies. The econometric approaches that we apply are diverse but they are predominantly Bayesian methods. We use Bayesian mixture modelling, Bayesian variable selection techniques, Bayesian spatial models and we put forward a new Bayesian approach for the random coefficient logit model. The data that we analyze consist of unique and large datasets of video-game prices, video-game consoles’ sales, aggregate sales data for consumer products and Google’s online search data.
|Publisher||Erasmus Research Institute of Management (ERIM)|
|Promotor||Franses, Ph.H.B.F. (Philip Hans)|
|Sponsor||Erasmus School of Economics (ESE) Erasmus University Rotterdam (EUR) Prof.dr. B.J. Bronnenberg Prof.dr. P.K. Chintagunta Prof.dr. R. Paap Co-promotor: Dr. D. Fok|
|Keywords||bayesian methodology, marketing modeling, new products|
Hernández-Mireles, C.. (2010, June 29). Marketing Modeling for New Products (No. EPS-2010-202-MKT). Erasmus Research Institute of Management (ERIM). Retrieved from http://hdl.handle.net/1765/19878