Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    UID:
    almahu_BV043924016
    Format: 1 Online-Ressource (xv, 402 Seiten) : , Diagramme.
    ISBN: 978-0-511-75383-1 , 0-511-01172-5 , 0-511-03107-6 , 0-511-04632-4 , 0-511-15161-6 , 0-521-78275-9 , 978-0-511-01172-6 , 978-0-511-03107-6 , 978-0-511-04632-2 , 978-0-511-15161-3
    Content: 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
    Note: Erscheinungsdatum laut E-Book-Frontpage: July 2010
    Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-0-521-78275-3
    Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-0-521-78830-4
    Language: English
    Subjects: Economics
    RVK:
    RVK:
    Keywords: Verbraucherverhalten ; Kaufentscheidung ; Präferenzfunktion ; Mathematisches Modell
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages