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Construction of Minimax Designs for the Trinomial Spike Model in Contingent Valuation Experiments
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2013 (English)In: mODa 10 – Advances in Model-Oriented Design and Analysis: Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10–14, 2013 / [ed] Dariusz Ucinski, Anthony C. Atkinson, Maciej Patan, Springer, 2013, 63-72 p.Chapter in book (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 efficiency function is sought under the assumption that the parameter values are within certain regions. The proposed methodology is illustrated in an application where the value of environmentally friendly produced clothes is evaluated.

Place, publisher, year, edition, pages
Springer, 2013. 63-72 p.
, Contributions to Statistics, ISSN 1431-1968 ; 2013
Keyword [en]
Locally optimal design, minimax design, maximin efficient design, H-algorithm, contingent valuation
National Category
Probability Theory and Statistics
Research subject
URN: urn:nbn:se:su:diva-89330ISBN: 978-3-319-00217-0OAI: diva2:617288
Minimaxdesign - konstruktion, effektivitetsjämförelser och praktiska tillämpningar
Swedish Research Council, 2009-2083
Available from: 2013-04-22 Created: 2013-04-22 Last updated: 2013-04-22Bibliographically approved

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