Arbeitspapier

Robust multidimensional welfare comparisons: One vector of weights, one vote

Many aspects of social welfare are intrinsically multidimensional. Composite indices at-tempting to reduce this complexity to a unique measure abound in many areas of economics and public policy. Comparisons based on such measures depend, sometimes critically, on how the di erent dimensions of performance are weighted. Thus, a policy maker maker may wish to take into account imprecision over composite index weights in a systematic manner. In this paper, such weight imprecision is parameterized via the -contamination framework of Bayesian statistics. Subsequently, combining results from polyhedral geometry, social choice, and theoretical computer science, an analytical procedure is presented that yields a provably robust ranking of the relevant alternatives in the presence of weight imprecision. The main idea is to consider a vector of weights as a voter and a continuum of weights as an electorate. The procedure is illustrated on recent versions of the Rule of Law and Human Development indices.

Sprache
Englisch

Erschienen in
Series: Nota di Lavoro ; No. 40.2013

Klassifikation
Wirtschaft
Mathematical Methods
Optimization Techniques; Programming Models; Dynamic Analysis
Microeconomic Policy: Formulation, Implementation, and Evaluation
Social Choice; Clubs; Committees; Associations
General Welfare; Well-Being
Thema
Multidimensional Welfare
Composite Index
ε-contamination
Polyhedral Geometry
Social Choice
Approximation Algorithms

Ereignis
Geistige Schöpfung
(wer)
Athanassoglou, Stergios
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2013

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Athanassoglou, Stergios
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2013

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