Research Article

Graded pairs comparison - does strength of preference matter? Analysis of preferences for specialised nurse home visits for pain management

  1. Mickael Bech1,*,
  2. Dorte Gyrd-Hansen1,
  3. Trine Kjær1,
  4. Jørgen Lauridsen2,
  5. Jan Sørensen3

Article first published online: 7 SEP 2006

DOI: 10.1002/hec.1159

Issue

Health Economics

Health Economics

Volume 16, Issue 5, pages 513–529, May 2007

Additional Information

How to Cite

Bech, M., Gyrd-Hansen, D., Kjær, T., Lauridsen, J. and Sørensen, J. (2007), Graded pairs comparison - does strength of preference matter? Analysis of preferences for specialised nurse home visits for pain management. Health Econ., 16: 513–529. doi: 10.1002/hec.1159

Author Information

  1. 1

    Institute of Public Health, University of Southern Denmark, Denmark

  2. 2

    Department of Business and Economics, University of Southern Denmark, Denmark

  3. 3

    Centre for Applied Health Services Research and Technology Assessment, University of Southern Denmark, Denmark

*Institute of Public Health, University of Southern Denmark, J.B. Winsløwsvej 9, 1., 5000 Odense C, Denmark

Publication History

  1. Issue published online: 11 APR 2007
  2. Article first published online: 7 SEP 2006
  3. Manuscript Accepted: 3 JUL 2006
  4. Manuscript Received: 22 APR 2005

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Keywords:

  • discrete choice;
  • stated preference;
  • strength of preference;
  • graded pairs comparison

Abstract

In the stated preference method called graded pairs comparisons respondents are asked to rate the intensity of their preference for their preferred alternative in a pairwise comparison of alternatives. Econometricians anticipate that the additional information will improve statistical efficiency compared to the standard DCE format. However, this paper reveals that added information inherent in graded pairs scale does not provide smaller standard deviations for the WTP estimated. Secondly, the ordered-response regression models employing the full range of the graded pairs data tend to overestimate WTP, which presumably is caused by the inherent tendency of the ordered-response models to ‘predict to the extremes’. Copyright © 2006 John Wiley & Sons, Ltd.

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