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Stated choice methods : analysis and...

Hensher, David A., (1947-)

Stated choice methods : analysis and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	658.8/342
書名/作者:	Stated choice methods : analysis and applications // Jordan J. Louviere, David A. Hensher, Joffre Swait, with a contribution by Wiktor Adamowicz.
作者:	Louviere, Jordan J.,
其他作者:	Hensher, David A.,
面頁冊數:	1 online resource (xv, 402 pages) : : digital, PDF file(s).
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Consumer behavior - Mathematical models.
標題:	Decision making - Mathematical models.
ISBN:	9780511753831 (ebook)
摘要、提要註:	Understanding and predicting the behaviour of decision makers when choosing among discrete goods has been one of the most fruitful areas of applied research over the last thirty years. An understanding of individual consumer behaviour can lead to significant changes in product or service design, pricing strategy, distribution channel and communication strategy selection, as well as public welfare analysis. This graduate and practitioner guide, first published in 2000, deals with the study and prediction of consumer choice behaviour, concentrating on stated preference (SP) methods - placing decision makers in controlled experiments that yield hypothetical choices - rather than revealed preferences (RP) - actual choices in the market. It shows how SP methods can be implemented, from experimental design to econometric modelling, and suggests how to combine RP and SP data to get the best from each type. The book also presents an update of econometric approaches to choice modelling.
電子資源:	http://dx.doi.org/10.1017/CBO9780511753831

Stated choice methods : analysis and applications /
Louviere, Jordan J.,

Stated choice methods : analysis and applications /Jordan J. Louviere, David A. Hensher, Joffre Swait, with a contribution by Wiktor Adamowicz. - 1 online resource (xv, 402 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Understanding and predicting the behaviour of decision makers when choosing among discrete goods has been one of the most fruitful areas of applied research over the last thirty years. An understanding of individual consumer behaviour can lead to significant changes in product or service design, pricing strategy, distribution channel and communication strategy selection, as well as public welfare analysis. This graduate and practitioner guide, first published in 2000, deals with the study and prediction of consumer choice behaviour, concentrating on stated preference (SP) methods - placing decision makers in controlled experiments that yield hypothetical choices - rather than revealed preferences (RP) - actual choices in the market. It shows how SP methods can be implemented, from experimental design to econometric modelling, and suggests how to combine RP and SP data to get the best from each type. The book also presents an update of econometric approaches to choice modelling.

ISBN: 9780511753831 (ebook)Subjects--Topical Terms:

644048
Consumer behavior
--Mathematical models.

LC Class. No.: HF5415.32 / .L687 2000

Dewey Class. No.: 658.8/342

Stated choice methods : analysis and applications /
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500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a Understanding and predicting the behaviour of decision makers when choosing among discrete goods has been one of the most fruitful areas of applied research over the last thirty years. An understanding of individual consumer behaviour can lead to significant changes in product or service design, pricing strategy, distribution channel and communication strategy selection, as well as public welfare analysis. This graduate and practitioner guide, first published in 2000, deals with the study and prediction of consumer choice behaviour, concentrating on stated preference (SP) methods - placing decision makers in controlled experiments that yield hypothetical choices - rather than revealed preferences (RP) - actual choices in the market. It shows how SP methods can be implemented, from experimental design to econometric modelling, and suggests how to combine RP and SP data to get the best from each type. The book also presents an update of econometric approaches to choice modelling.
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650 0 $a Decision making $x Mathematical models. $3 337886
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