Multi-dimensional Living Standards

Boarini, Romina; Murtin, Fabrice; Schreyer, Paul; Fleurbaey, Marc

doi:10.1787/5jlpq7qvxc6f-en

Cited by 5 publications

(6 citation statements)

References 31 publications

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“…Shadow prices of longevity and unemployment are country-specific as they depend on the level of income, longevity and unemployment. In the case of OECD countries, Boarini et al (2016) show that the shadow price of longevity increases as people become richer, and decreases as people live longer.…”

Section: Box 51 the Construction Of Multi-dimensional Living Standardsmentioning

confidence: 99%

Inequalities in emerging economies

Balestra

Llena‐Nozal

Murtin

et al. 2018

OECD Statistics Working Papers

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INEQUALITIES IN EMERGING ECONOMIES Unclassified OECD STATISTICS WORKING PAPER SERIES The OECD Statistics Working Paper Seriesmanaged by the OECD Statistics and Data Directorateis designed to make available in a timely fashion and to a wider readership selected studies prepared by OECD staff or by outside consultants working on OECD projects. The papers included are of a technical, methodological or statistical policy nature and relate to statistical work relevant to the Organisation. The Working Papers are generally available only in their original language-English or Frenchwith a summary in the other. OECD Working Papers should not be reported as representing the official views of the OECD or of its member countries. The opinions expressed and arguments employed are those of the authors. Working Papers describe preliminary results or research in progress by the authors and are published to stimulate discussion on a broad range of issues on which the OECD works. Comments on Working Papers are welcomed, and may be sent to the Statistics and Data Directorate, OECD,

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Section: Box 51 the Construction Of Multi-dimensional Living Standardsmentioning

confidence: 99%

Inequalities in emerging economies

Balestra

Llena‐Nozal

Murtin

et al. 2018

OECD Statistics Working Papers

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“…Previous studies have highlighted the relationship, at the national level, between health and well-being. Period life expectancy at birth increased by an average of 4.2 years in 26 OECD countries between 1995 and 2013, which accounts for about half of the growth in the OECD's well-being measure -the Multi-dimensional Living Standards (MDLS) (Boarini et al, 2016) -over the same period (Box 4.1). This indicates that life expectancy gains have largely contributed to progress in well-being among OECD countries in recent decades.…”

Section: Gains In Life Expectancymentioning

confidence: 99%

“…To monetise the benefits from non-income components, shadow prices need to be worked out. While shadow prices can be derived in several ways (see Boarini et al, 2015, for a review and Boarini et al, 2016, for a robustness analysis), they fall within a relatively narrow range. Estimated shadow prices are country-specific and, for present purposes, age-and cohort-specific too, as they depend on income, longevity and unemployment in a non-linear way.…”

Section: Annex 4a1mentioning

confidence: 99%

“…Estimated shadow prices are country-specific and, for present purposes, age-and cohort-specific too, as they depend on income, longevity and unemployment in a non-linear way. Estimates for 26 OECD countries (Boarini et al, 2016) imply that the well-being benefit of a 1-percentage-point fall in the unemployment rate is equivalent to a gain in average household income of 1.9% and that the benefit of a one-year increase in (period) life expectancy at birth is equivalent to an income gain of 5.9%.…”

Section: Annex 4a1mentioning

confidence: 99%

“…Once equivalent income has been calculated for each individual, MDLS measures can be aggregated into country living standard measures as in Boarini et al (2016), by level of education or age cohort, as in this report (see also Diaz and Murtin, 2017a). Aggregation takes the form of a generalised mean, equal to average living standards minus a penalty for inequality in living standards between individuals.…”

Section: Annex 4a1mentioning

confidence: 99%

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Hervé Boulhol led the team and coordinated the project and the publication. Monika Queisser supervised the preparation of this report and provided useful comments on various drafts. Chapters 2 to 6 were edited by Ken Kincaid. Marlène Mohier prepared the manuscript for publication and Kate Lancaster (Public Affairs and Communications Directorate) contributed to the editing of the report. Christelle Cordova and Natalie Lagorce, both from the Social Policy Division, provided useful technical assistance.

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Development as happiness: A multidimensional analysis of subjective well-being in Indonesia

Sujarwoto¹

2021

Economics &Amp; Sociology

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Although subjective well-being (SWB) has attracted policy-makers and researchers in the last decades, only a few studies exist on measuring the multidimensional measure of SWB and its determinants in a developing country context. In this study, we examine a multidimensional measure of SWB to identify its demographic and social determinants in Indonesia. A multidimensional measure of SWB was calculated based on the OECD SWB measure. For this analysis, we have used a unique representative national dataset, Indonesia's Happiness Survey 2017, consisting of 72,317 respondents aged 18 years and older, representing all of the country's 34 provinces. The results show that disparities in SWB exist across population groups, urban/rural groups, and the residents of various provinces and islands across the country. SWB shows consistent associations with household income, housing conditions, unemployment status, environmental quality, health status, work-life balance, social connectedness, neighborhood trust, personal security and personality. Contrasting relationships were found between SWB and household size, education and residence on certain islands. SWB may capture different information about personal well-being and quality of life than HDI and GDP. Policy makers are expected to monitor social and development progress as well as to obtain a more comprehensive understanding of quality of life in Indonesia.

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Multi-dimensional Living Standards

Abstract: Complete document available on OLIS in its original format This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area.

Cited by 5 publications

References 31 publications

Inequalities in emerging economies

Inequalities in emerging economies

The old-age dependency ratio will almost double in the next 35 years on average

Development as happiness: A multidimensional analysis of subjective well-being in Indonesia

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