Literature DB >> 18241944

Emotions and decision rules in discrete choice experiments for valuing health care programmes for the elderly.

Jorge E Araña1, Carmelo J León, Michael W Hanemann.   

Abstract

The evaluation of health care programmes is commonly approached with stated preference methods such as contingent valuation or discrete choice experiments. These methods provide useful information for policy decisions involving health regulations and infrastructures for health care. However, econometric modelling of these data usually relies on a number of maintained assumptions, such as the use of the compensatory or random utility maximization rule. On the other hand, health policy issues can raise emotional concerns among individuals, which might induce other types of choice behaviour. In this paper we consider potential deviations from the general compensatory rule, and how these deviations might be explained by the emotional state of the subject. We utilized a mixture econometric model which allows for various potential decisions rules within the sample, such as the complete ignorance, conjunctive rule and satisfactory rules. The results show that deviations from the full linear compensatory decision rule are predominant, but they are significantly less observed for those subjects with a medium emotional state about the issue of caring for the health state of the elderly. The implication is that the emotional impact of health policy issues should be taken into account when making assumptions of individual choice behaviour in health valuation methods.

Mesh:

Year:  2007        PMID: 18241944     DOI: 10.1016/j.jhealeco.2007.10.003

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  5 in total

1.  Emotions and scope effects in the monetary valuation of health.

Authors:  María V Avilés Blanco; Raúl Brey; Jorge Araña; José Luis Pinto Prades
Journal:  Eur J Health Econ       Date:  2017-03-24

2.  Immediate and informative feedback during a pandemic: Using stated preference analysis to predict vaccine uptake rates.

Authors:  William F Vásquez; Jennifer M Trudeau; Jessica Alicea-Planas
Journal:  Health Econ       Date:  2021-09-24       Impact factor: 2.395

3.  Stated Choice design comparison in a developing country: recall and attribute nonattendance.

Authors:  Richard A Iles; John M Rose
Journal:  Health Econ Rev       Date:  2014-10-24

4.  Preferred Lung Cancer Screening Modalities in China: A Discrete Choice Experiment.

Authors:  Zixuan Zhao; Lingbin Du; Le Wang; Youqing Wang; Yi Yang; Hengjin Dong
Journal:  Cancers (Basel)       Date:  2021-12-03       Impact factor: 6.639

Review 5.  Respondent Understanding in Discrete Choice Experiments: A Scoping Review.

Authors:  Alison Pearce; Mark Harrison; Verity Watson; Deborah J Street; Kirsten Howard; Nick Bansback; Stirling Bryan
Journal:  Patient       Date:  2020-11-03       Impact factor: 3.883

  5 in total

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