transparent gif


Ej inloggad.

Göteborgs universitets publikationer

Design Techniques for Stated Preference Methods in Health Economics

Författare och institution:
Fredrik Carlsson (Institutionen för nationalekonomi med statistik, Enheten för miljöekonomi); Peter Martinsson (Institutionen för nationalekonomi med statistik, Enheten för miljöekonomi)
Publicerad i:
Health Economics, 12 s. 281-294
Artikel, refereegranskad vetenskaplig
Sammanfattning (abstract):
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.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
Ekonomi och näringsliv ->
Postens nummer:
Posten skapad:
2007-02-14 10:59

Visa i Endnote-format

Göteborgs universitet • Tel. 031-786 0000
© Göteborgs universitet 2007