Measurement of Social Welfare and Inequality in Presence of Partially-ordered Variables
| Autor: | Abu‐zaineh, Mohammad, Awawda, Sameera |
|---|---|
| Přispěvatelé: | Aix-Marseille Sciences Economiques (AMSE), École des hautes études en sciences sociales (EHESS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Birzeit University, ANR-17-EURE-0020,AMSE (EUR),Aix-Marseille School of Economics(2017), ANR-11-IDEX-0001,Amidex,INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE(2011) |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
[SDV.EE.SANT]Life Sciences [q-bio]/Ecology
environment/Health Ordinal inequality JEL: I - Health Education and Welfare/I.I1 - Health/I.I1.I14 - Health and Inequality Partially-ordered variables Stochastic dominance Hammond dominance JEL: D - Microeconomics/D.D6 - Welfare Economics/D.D6.D63 - Equity Justice Inequality and Other Normative Criteria and Measurement Welfare function JEL: O - Economic Development Innovation Technological Change and Growth/O.O5 - Economywide Country Studies Boolean lattice [SHS.ECO]Humanities and Social Sciences/Economics and Finance JEL: I - Health Education and Welfare/I.I1 - Health/I.I1.I15 - Health and Economic Development |
| Popis: | We address the question of the measurement of social welfare and inequalities in the context of partially-ordered health variables. We propose a general framework based on the assumption that the distribution of well-being states forms an m-dimensional Boolean lattice. To this end, the distribution of well-being states is constructed based on the prevalence of a finite number of illnesses where each state represents the number of illnesses an individual may suffer from. The implementation of the framework involves breaking down the Boolean lattice into a set of linear extensions where all health states become fully ordered. The linear extensions account for all possible ordering of the health states based on the depth of health problems (i.e., the severity of health conditions). Having constructed these linear extensions, we then proceed on ranking distributions in terms of welfare by applying appropriate dominance criteria and employ aggregate metrics to provide a numerical representation of the social welfare and inequality associated with each distribution. An illustrative application of the methodology is provided. |
| Databáze: | OpenAIRE |
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