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Construction of minimax designs for the trinomial spike model in contingent valuation experiments
Stockholm University, Sweden.
Linköping University, Department of Computer and Information Science, Statistics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-6590-3847
2013 (English)In: mODa 10 – Advances in Model-Oriented Design and Analysis / [ed] Dariusz Ucinski, Anthony C. Atkinson, Maciej Patan, New York: Springer, 2013, 63-72 p.Conference paper (Refereed)
Abstract [en]

This paper concerns design of contingent valuation experiments when interest is in knowing whether respondents have positive willingness to pay and, if so, if they are willing to pay a certain amount for a specified good. A trinomial spike model is used to model the response. Locally D- and c-optimal designs are derived and it is shown that any locally optimal design can be deduced from the locally optimal design for the case when one of the model parameters is standardized. It is demonstrated how information about the parameters, e.g., from pilot studies, can be used to construct minimax and maximin efficient designs, for which the best guaranteed value of the criterion function or the efficiency function is sought under the assumption that the parameter values are within certain regions. The proposed methodology is illustrated on an application where the value of the environmentally friendly production of clothes is evaluated.

Place, publisher, year, edition, pages
New York: Springer, 2013. 63-72 p.
, Contributions to statistics, ISSN 1431-1968
Keyword [en]
Locally optimal design, minimax design, maximin efficient design, H-algorithm, contingent valuation
National Category
Probability Theory and Statistics
URN: urn:nbn:se:liu:diva-94690DOI: 10.1007/978-3-319-00218-7_8ISBN: 978-3-319-00217-0ISBN: e-978-3-319-00218-7OAI: diva2:634416
10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10–14, 2013
Minimax design - construction, effectiveness comparisons, and practical applications
Swedish Research Council, 2009-2083
Available from: 2013-06-30 Created: 2013-06-30 Last updated: 2013-08-02Bibliographically approved

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