Greco, Salvatore and Ishizaka, Alessio and Resce, Giuliano and Torrisi, Gianpiero (2017): Measuring well-being by a multidimensional spatial model in OECD Better Life Index framework.
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Abstract
We propose a multidimensional spatial model to evaluate the well-being using the Better Life Index (BLI) in 36 countries according to a two-steps procedure. First, we position the countries as points in the Euclidean K-dimensional space in which each dimension is a specific aspect of well-being as measured in the BLI. Second, we consider each individual/voter’s opinions on the same dimensions to calculate the personal optimal point in that same K-dimensional space. Hence, we measure the distance between optimal point of well-being and the actual observed point at individual level. This distance is interpreted as the individuals’ loss in well-being. We show that this loss is negatively related (i) to the overall well-being in terms of BLI and (ii) the main indices of quality of democracy.
Item Type: | MPRA Paper |
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Original Title: | Measuring well-being by a multidimensional spatial model in OECD Better Life Index framework |
Language: | English |
Keywords: | Better life Index, OECD, Well-being, Loss function |
Subjects: | H - Public Economics > H3 - Fiscal Policies and Behavior of Economic Agents > H31 - Household H - Public Economics > H4 - Publicly Provided Goods > H41 - Public Goods I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty > I38 - Government Policy ; Provision and Effects of Welfare Programs |
Item ID: | 83526 |
Depositing User: | Gianpiero Torrisi |
Date Deposited: | 30 Dec 2017 13:55 |
Last Modified: | 27 Sep 2019 12:56 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/83526 |