Time-Series Models in Marketing

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.

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Year of publication:	2006-09-20
Authors:	Franses, Philip Hans ; Dekimpe, Dekimpe, M.G. ; Hanssens, Hanssens, D.M. ; Naik, P.
Institutions:	Erasmus Research Institute of Management (ERIM), Erasmus Universiteit Rotterdam
Subject:	Marketing \| Persistence \| State Space \| Time Series

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Extent:	application/pdf
Series:	ERIM Report Series Research in Management. - ISSN 1566-5283.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series RePEc:ems:eureri Number ERS-2006-049-MKT
Classification:	C22 - Time-Series Models ; C44 - Statistical Decision Theory; Operations Research ; M - Business Administration and Business Economics; Marketing; Accounting ; M31 - Marketing
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010837477