Multilateral and Multidimensional Wellness Measurement in the Absence of Cardinal Measure: Health, Loneliness, Ageing and Gender in 21st Century China
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Cited by:
- Gordon Anderson & Oliver Linton & Maria Grazia Pittau & Yoon-Jae Whang & Roberto Zelli, 2021.
"On unit free assessment of the extent of multilateral distributional variation,"
The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 502-518.
- Gordon Anderson & Oliver Linton & Grazia Pittau & Yoon Jae Whang & Roberto Zelli, 2020. "On Unit Free Assessment of The Extent of Multilateral Distributional Variation," Working Papers tecipa-657, University of Toronto, Department of Economics.
- Anderson, G. & Linton, O. & Pittau, M G. & Whang, Y-J. & Zelli, R., 2020. "On Unit Free Assessment of The Extent of Multilateral Distributional Variation," Cambridge Working Papers in Economics 20123, Faculty of Economics, University of Cambridge.
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Keywords
Wellbeing Measurement; Ordering Distributions; Ordinal Data.;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
- I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
- I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AGE-2020-07-20 (Economics of Ageing)
- NEP-CNA-2020-07-20 (China)
- NEP-HAP-2020-07-20 (Economics of Happiness)
- NEP-HEA-2020-07-20 (Health Economics)
- NEP-ORE-2020-07-20 (Operations Research)
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