11 research outputs found
Eliciting, applying and exploring multidimensional welfare weights: evidence from the field
By combining primary data on dimension importance collected in the field from three different samples and nationally representative survey data from the Dominican Republic, we offer a twofold contribution. The first one comes from an unincentivized questionnaire experiment, where the significance of the treatment effect shows that life domains are valued differently in a poverty vs a wellâbeing framework. This poses important questions on the anatomy of dimension importance and on the use of weights in empirical analyses, and opens the door to what we call a âconcordance paradoxâ related to the very essence of the constructs of poverty and wellâbeing. As a second contribution, we employ the sets of weights collected in the field to assess the trend of multidimensional poverty and wellâbeing in the country. We find that the picking one set of weights or another is not a trivial choice, as they lead to opposite assessment results
The rank reversal problem in multi-criteria decision making : a literature review
Despite the importance of multicriteria decision-making (MCDM) techniques for constructing effective decision models, there are many criticisms due to the occurrence of a problem called rank reversal. Nevertheless, there is a lack of a systematic literature review on this important subject which involves different methods. This study reviews the pertinent literature on rank reversal, based on 130 related articles published from 1980 to 2015 in international journals, which were gathered and analyzed according to the following perspectives: multicriteria technique, year and journal in which the papers were published, co-authorship network, rank reversal types, and research goal. Thus our survey provides recommendations for future research, besides useful information and knowledge regarding rank reversal in the MCDM field