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2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin >
Please use this identifier to cite or link to this item:
http://purl.umn.edu/49406
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| Title: | Using Choice Experiment to Estimate Consumer Valuation: the Role of Experiment Design and Attribute Information Loads |
| Authors: | Gao, Zhifeng
Yu, Xiaohua
House, Lisa |
| Authors (Email): | Gao, Zhifeng (zfgao@ufl.edu)
Yu, Xiaohua (xyu@uni-goettingen.de)
House, Lisa O. (lahouse@ufl.edu) |
| Issue Date: | 2009 |
| Abstract: | With fixed dimensionality of choice experiments, previous simulation results shows that D-optimal design with correct priori information generates more accurate valuation. In the absence of prior information, random designs and designs incorporate attribute interactions result in more precise valuation estimates. In this paper, the Monte Carlo results demonstrate that the performances of different design strategy are affected by attribute information loads in choice experiments. Consumer valuation estimates in simulation settings varies with the number of attributes. |
| Notes: | Replaced with revised version of paper 09/22/09. |
| URI: | http://purl.umn.edu/49406 |
| Institution/Association: | Agricultural and Applied Economics Association>2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin |
| Total Pages: | 28 |
| Collections: | 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin
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| AAEA_Gao_Yu_House_Revised.pdf | | 502Kb | PDF | View/Open |
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