Design techniques for stated preference methods in health economics.

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Summary

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 and suggest that the designs produce unbiased estimations, but orthogonal designs result in larger mean square error in comparison to D-optimal designs.

Type
article
Published
2003-04-01
Cited by
446
References
24
Access
Open access

Keywords

Optimal design, Prior probability, Preference, Mathematical optimization, Design of experiments

References

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