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The implications of incorrect utility function specification for welfare measurement in choice experiments

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Author Info
Hanley, Nick
Riera, Antoni
Torres, Cati

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Abstract

Despite the vital role of utility functional form in welfare measurement, the implications of working with incorrect utility specifications have not been examined in the choice experiments (CE) literature. This paper addresses the importance of the specification of both non-monetary attributes and the marginal utility of income. Monte Carlo experiments have been conducted wherein different attribute specifications and assumptions for the Cost parameter -that is, different functional forms of utility- have been assumed to generate simulated choices on which Multi-Nomial Logit and Mixed Logit models have been estimated under correct and incorrect assumptions about the true, underlying utility function. The inferred values have been compared with the true ones directly calculated from the true utility specifications. Results show that working with simple experimental designs and continuous-linear specifications makes attribute specification irrelevant for measuring attribute marginal values regardless of the true effects the attribute has on utility.

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File URL: http://hdl.handle.net/1893/823
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Paper provided by University of Stirling, Department of Economics in its series Stirling Economics Discussion Papers with number 2009-07.

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Date of creation: Feb 2009
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Handle: RePEc:stl:stledp:2009-07

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Postal: Department of Economics, Stirling, Stirling, Scotland FK9 4LA
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Related research
Keywords: utility specification; attributes; welfare measurement; accuracy; efficiency; choice experiments; Monte Carlo analysis;

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  1. Kling, Catherine L., 1991. "Estimating the precision of welfare measures," Journal of Environmental Economics and Management, Elsevier, vol. 21(3), pages 244-259, November. [Downloadable!] (restricted)
  2. Kling, Catherine L., 1989. "The Importance Of Functional Form In The Estimation Of Welfare," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(01), July. [Downloadable!]
  3. Fredrik Carlsson & Peter Martinsson, 2003. "Design techniques for stated preference methods in health economics," Health Economics, John Wiley & Sons, Ltd., vol. 12(4), pages 281-294. [Downloadable!]
  4. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May. [Downloadable!] (restricted)
  5. Riccardo Scarpa & Ian Bateman, 2000. "Efficiency Gains Afforded by Improved Bid Design versus Follow-up Valuation Questions in Discrete-Choice CV Studies," Land Economics, University of Wisconsin Press, vol. 76(2), pages 299-311. [Downloadable!] (restricted)
  6. Kling, Catherine L., 1987. "A Simulation Approach to Comparing Multiple Site Recreation Demand Models Using Chesapeake Bay Survey Data," Marine Resource Economics, Marine Resources Foundation, vol. 4(2). [Downloadable!]
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This page was last updated on 2009-11-13.


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