NDLI: Statistical Inference Using Stochastic Switching Models for the Discrimination of Unobserved Display Promotion from POS Data

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The Relationship Between Customer Loyalty and Purchase Incidence

Response Rate and Response Quality of Internet-Based Surveys: An Experimental Study

Statistical Inference Using Stochastic Switching Models for the Discrimination of Unobserved Display Promotion from POS Data

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Statistical Inference Using Stochastic Switching Models for the Discrimination of Unobserved Display Promotion from POS Data

Content Provider	Springer Nature Link
Author	Sato, Tadahiko Higuchi, Tomoyuki Kitagawa, Genshiro
Copyright Year	2004
Abstract	The execution of price and/or display promotion has a significant effect on the sales of a brand sold in a supermarket. Information on price and/or sales is available from POS data. However, unless an investigator collects information on the execution of display promotions from every retail store, such information is unavailable. This paper presents a method of identifying whether display promotion has been executed without having to visit individual stores. We treat the execution/non-execution of a display promotion as a state variable. An unknown stationary probability matrix is assumed to describe the probability of a transition between states. Each state is characterized by a different stationary time series model with unknown parameters. The objective of the analysis is to identify the model and to assign a probability model for each state at each time instant. Finally, we provide a high precision estimator of a past execution/non-execution of a display promotion based on the proposed model.
Starting Page	37
Ending Page	60
Page Count	24
File Format	PDF
ISSN	09230645
Journal	Marketing Letters
Volume Number	15
Issue Number	1
e-ISSN	1573059X
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2004-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Marketing
Content Type	Text
Resource Type	Article
Subject	Business and International Management Economics and Econometrics Marketing

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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