NDLI: Adjusting Choice Models to Better Predict Market Behavior

Content Provider	Springer Nature Link
Author	Allenby, Greg Fennell, Geraldine Huber, Joel Eagle, Thomas Gilbride, Tim Horsky, Dan Kim, Jaehwan Lenk, Peter Johnson, Rich Ofek, Elie Orme, Bryan Otter, Thomas Walker, Joan
Copyright Year	2005
Abstract	The emergence of Bayesian methodology has facilitated respondent-level conjoint models, and deriving utilities from choice experiments has become very popular among those modeling product line decisions or new product introductions. This review begins with a paradox of why experimental choices should mirror market behavior despite clear differences in content, structure and motivation. It then addresses ways to design the choice tasks so that they are more likely to reflect market choices. Finally, it examines ways to model the results of the choice experiments to better mirror both underlying decision processes and potential market choices.
Starting Page	197
Ending Page	208
Page Count	12
File Format	PDF
ISSN	09230645
Journal	Marketing Letters
Volume Number	16
Issue Number	3-4
e-ISSN	1573059X
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2005-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bayesian analysis extended model of behavior motivating conditions Marketing
Content Type	Text
Resource Type	Article
Subject	Business and International Management Economics and Econometrics Marketing

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Adjusting Choice Models to Better Predict Market Behavior