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Design techniques f...
Design techniques for stated preference methods in health economics
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- Carlsson, Fredrik, 1968 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för nationalekonomi med statistik, Enheten för miljöekonomi,Department of Economics, Environmental Economics Unit
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- Martinsson, Peter (författare)
- Gothenburg University,Göteborgs universitet,Lund University,Lunds universitet,Nationalekonomiska institutionen,Ekonomihögskolan,Department of Economics,Lund University School of Economics and Management, LUSEM,Institutionen för nationalekonomi med statistik, Enheten för miljöekonomi,Department of Economics, Environmental Economics Unit
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(creator_code:org_t)
- 2003
- 2003
- Engelska.
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Ingår i: Health Economics. - Gothenburg : Wiley. - 1099-1050 .- 1057-9230. ; 12, s. 281-294
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Abstract
Ämnesord
Stäng
- This paper discusses different design techniques for stated preference surveys in health economic applications. In particular, we focus on different design techniques, i.e. how to combine the attribute levels into alternatives and choice sets, for choice experiments. Design is a vital issue in choice experiments since the combination of alternatives in the choice sets will determine the degree of precision obtainable from the estimates and welfare measures. In this paper we compare orthogonal, cyclical and D-optimal designs, where the latter allows expectations about the true parameters to be included when creating the design. Moreover, we discuss how to obtain prior information on the parameters and how to conduct a sequential design procedure during the actual experiment in order to improve the precision in the estimates. The designs are evaluated according to their ability to predict the true marginal willingness to pay under different specifications of the utility function in Monte Carlo simulations. Our results suggest that the designs produce unbiased estimations, but orthogonal designs result in larger mean square error in comparison to D-optimal designs. This result is expected when using correct priors on the parameters in D-optimal designs. However, the simulations show that welfare measures are not very sensitive if the choice sets are generated from a D-optimal design with biased priors. Copyright (C) 2002 John Wiley Sons, Ltd.
Ämnesord
- SAMHÄLLSVETENSKAP -- Ekonomi och näringsliv -- Nationalekonomi (hsv//swe)
- SOCIAL SCIENCES -- Economics and Business -- Economics (hsv//eng)
Nyckelord
- optimal design
- choice experiments
- health economics
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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