Template-Type: ReDIF-Paper 1.0
Author-Name: Dekimpe, M.G.
Author-Name-Last: Dekimpe
Author-Name-First: Marnik
Author-Name: Franses, Ph.H.B.F.
Author-Name-Last: Franses
Author-Name-First: Philip Hans
Author-Person: pfr226
Author-Name: Hanssens, D.M.
Author-Name-Last: Hanssens
Author-Name-First: Dominique
Author-Name: Naik, P.
Author-Name-Last: Naik
Title: Time-Series Models in Marketing
Abstract: Marketing data appear in a variety of forms. An often-seen form is time-series data, like sales per month, prices over the last few years, market shares per week. Time-series data can be summarized in time-series models. In this chapter we review a few of these, focusing in particular on domains that have received considerable attention in the marketing literature. These are (1) the use of persistence modelling and (2) the use of state space models.
Creation-Date: 2006-09-20
File-URL: https://repub.eur.nl/pub/7984/ERS-2006-049-MKT.pdf
File-Format: application/pdf
Series: RePEc:ems:eureri
Number: ERS-2006-049-MKT
Classification-JEL: C22, C44, M, M31
Keywords: Marketing, Persistence, State Space, Time Series
Handle: RePEc:ems:eureri:7984