Template-Type: ReDIF-Paper 1.0
Author-Name: Franses, Ph.H.B.F.
Author-Name-Last: Franses
Author-Name-First: Philip Hans
Author-Person: pfr226
Title: Forecasting in marketing
Abstract: With the advent of advanced data collection techniques, there is an increased interest in 
 
 using econometric models to support decisions in marketing. Due to the sometimes specific 
 
 nature of variables in marketing, the discipline uses econometric models that are rarely, 
 
 if ever, used elsewhere. This chapter deals with techniques to derive forecasts from 
 
 these models. Due to the intrinsic non-linear nature of these models, these techniques 
 
 draw heavliy on simulation techniques.
Creation-Date: 2004-09-22
File-URL: https://repub.eur.nl/pub/1631/ei200440.pdf
File-Format: application/pdf
Series: RePEc:ems:eureir
Number: EI 2004-40
Keywords: Bass model, Koyck model, attraction model, forecasting, marketing, unobserved heterogeneity
Handle: RePEc:ems:eureir:1631