Kooperativer Bibliotheksverbund

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Format: 1 Online-Ressource (187 Seiten)

ISBN: 9783030585099

Series Statement: Economic Studies in Inequality, Social Exclusion and Well-Being Ser

Note: Description based on publisher supplied metadata and other sources , Intro -- Foreword -- Acknowledgements -- Contents -- About the Authors -- 1 What Constitutes a Good Life? -- Income -- Happiness -- Well-Being and Capabilities -- 2 Why This Book? -- Structure of the Book -- Why a New Dataset? -- Some Preliminary Methodological Comments -- 3 Is the Conventional Family Still the Cornerstone of Society? -- Which Family Types Are Found in Belgium? -- Are There Differences Between the Regions? -- Age and Family Type -- Well-being Involves Many Different Aspects -- 4 How Unequally Are Our Incomes Distributed? -- A Parade of Dwarves and Giants -- A Spoke in the Wheel? -- Inequality Measured -- 5 Who Is Poor in Our Society? -- Risk of Poverty -- Material Deprivation -- How Many Belgians Are Both on a Low Income and Materially Deprived? -- 6 How Healthy Are We? -- What Is Health? -- General Health -- Functional Limitations -- Chronic Diseases -- Emotional Well-Being -- Physical Well-Being -- Who Is Ill? -- Are Poorer People Sicker? -- How Sick Are the Elderly? -- Are the Flemish Healthier? -- 7 What Makes Us Sick? -- Lifestyle, Living Environment and Job Characteristics -- Lifestyle -- Living Environment -- Job Characteristics -- Emotional Well-Being -- The Shadow of the Past -- 8 Can People Afford Their Healthcare? -- The Use of Healthcare -- Financial Consequences of Illness -- Postponement of Care -- People with Chronic Illnesses -- 9 Do We Find the Job of Our Dreams? -- Who Works and Who Doesn't? -- Which Types of Jobs Are Carried Out? How Much Do People Work? -- The Job of My Dreams, an Unattainable Ideal? -- 10 What Do We Spend Our Money on? -- What Do the Consumption Patterns of Belgian Families Look Like? -- Expenditure Patterns per Income Quartile -- Expenditure Patterns by Level of Education -- 11 Do We Live Comfortably and in a Pleasant Environment? -- The Quality of Our Housing -- Tenants and Owners , Elderly People and Young People -- 12 How Do We Spend Our Time? -- Time Use of Men and Women by Family Type -- Time Use of Men and Women by Level of Education -- An Insight into Families -- 13 Who Forms a Couple with Whom? -- How Did Partners First Meet? -- Like Seeks Like? -- Is Like-Seeks-Like Behaviour Age-Related? -- 14 How Do Partners Within Couples Spend Their Time? -- Time Use of Partners Across All Types of Couples -- Time Use of Working Couples with and Without Children Living at Home -- Time Use of Partners by Level of Education -- 15 What Do Partners in Couples Spend Their Money on? -- Expenditure Within Couples with and Without Children -- Expenditure Within Couples According to Total Expenditure -- Expenditure Within Couples According to Level of Education -- 16 Who Wears the Trousers? -- Distribution of Time and Money Between Partners -- Distribution of Time and Money in Relation to Relative Hourly Wage -- Distribution of Time and Money in Relation to Full Family Income -- Marriage Market -- Who Deserves Special Attention? -- 17 Is Life Harder for Single-Parent Families? -- Who Are the Parents in Single-Parent Families? -- Do Parents in Single-Parent Families Have Lower Levels of Well-Being? -- Which Dimensions of Well-Being Make the Difference? -- Are There Differences When It Comes to the Children? -- 18 Which Children Grow up in Poverty? -- Poverty Is Hard -- Health and Housing Quality -- How Much Do Parents Invest in Their Children? -- As Long as They're Happy ... -- 19 A Nice Retirement? -- How Many Older People Are There? -- The Situation of the Elderly -- Towards a Measure of Individual Well-being -- 20 Who Suffers from Cumulative Deprivation? -- How Much Cumulative Deprivation Is There in Belgium? -- Who Suffers from Cumulative Deprivation? -- 21 How Happy Are We? -- Happiness and Life Satisfaction , What Makes Belgians Satisfied with Their Lives? -- (Dis)satisfaction with a Partial Aspect of Life -- 22 As Long as We're Happy ...? -- Personality and Life Satisfaction -- Level of Education and Expectations -- Poor but Happy -- 23 How Do We Measure Well-Being? -- An Example of the Alternative Approach -- Different Opinions on the Good Life: Willingness to Pay -- Equivalent Income -- 24 Who Has the Lowest Levels of Well-Being? -- How Do We Measure Willingness to Pay? -- Equivalent Incomes for Health and Housing -- 25 Conclusion -- Just Looking at Averages Can Be Misleading -- Income Is Not a Good Measure of Well-being -- Happiness Is Not a Good Measure of Well-being -- Well-being Is Best Measured in a Multidimensional Way -- References

Additional Edition: Erscheint auch als Druck-Ausgabe Capéau, Bart Well-Being in Belgium Cham : Springer International Publishing AG,c2020 ISBN 9783030585082

Language: English

URL: Volltext  (URL des Erstveröffentlichers)

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Format: 1 Online-Ressource (xiii, 153 Seiten) , Diagramme

Edition: First edition

ISBN: 9781789733778 , 9781789733792

Series Statement: Research on economic inequality vol. 27

Note: Enthält Literaturangaben

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-78973-378-5

Language: English

Subjects: Sociology

Keywords: Soziale Ungleichheit ; Internationaler Vergleich ; Aufsatzsammlung

DOI: 10.1108/S1049-2585201927

URL: Volltext  (URL des Erstveröffentlichers)

URL: URL des Erstveröffentlichers

URL: lizenzpflichtig

UID:

Format: 1 Online-Ressource (48 Seiten) , 21 x 29.7cm

Series Statement: OECD Statistics Working Papers

Content: The Better Life Index was introduced by the OECD as a tool to chart the multi-dimensional well-being of OECD member countries, Brazil and the Russian Federation. However, the Better Life Index relies only on aggregate country-level indicators, and hence is insensitive to how multi-dimensional well-being outcomes are distributed within countries. This paper discusses how a distribution-sensitive Better Life Index could be designed and implemented. Based on five concrete recommendations for the design of the index, a family of indices is suggested. These indices are shown to be decomposable in interpretable building blocks. While a rich and comprehensive micro-level data set is necessary to implement the distribution-sensitive Better Life Index, no such data set is currently available for all OECD member countries. The paper proposes a 'synthetic' data set that relies on information about macro-level indicators and micro-level data from the Gallup World Poll. The implementation of the distribution-sensitive Better Life Index is illustrated with this synthetic data set. While the small sample size and other survey features of the Gallup World Poll imply a number of potential biases, illustrative calculations based on this synthetic data set indicates that, when taking distribution into account, Nordic countries are top-ranked whereas Greece, the Russian Federation and Turkey occupy the bottom positions. The results indicate sizeable losses due to multi-dimensional inequality for OECD member countries. Moreover, there are large differences in the level and composition of multi-dimensional inequality

Language: English

DOI: 10.1787/5jrqppx9xh8q-en

URL: Volltext  (URL des Erstveröffentlichers)

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Format: Online-Ressource (48 S.) , graph. Darst.

Series Statement: OECD statistics working papers 2015/07

Content: The Better Life Index was introduced by the OECD as a tool to chart the multi-dimensional well-being of OECD member countries, Brazil and the Russian Federation. However, the Better Life Index relies only on aggregate country-level indicators, and hence is insensitive to how multi-dimensional well-being outcomes are distributed within countries. This paper discusses how a distribution-sensitive Better Life Index could be designed and implemented. Based on five concrete recommendations for the design of the index, a family of indices is suggested. These indices are shown to be decomposable in interpretable building blocks. While a rich and comprehensive micro-level data set is necessary to implement the distribution-sensitive Better Life Index, no such data set is currently available for all OECD member countries. The paper proposes a ‘synthetic’ data set that relies on information about macro-level indicators and micro-level data from the Gallup World Poll. The implementation of the distribution-sensitive Better Life Index is illustrated with this synthetic data set. While the small sample size and other survey features of the Gallup World Poll imply a number of potential biases, illustrative calculations based on this synthetic data set indicates that, when taking distribution into account, Nordic countries are top-ranked whereas Greece, the Russian Federation and Turkey occupy the bottom positions. The results indicate sizeable losses due to multi-dimensional inequality for OECD member countries. Moreover, there are large differences in the level and composition of multi-dimensional inequality.

Note: Zsfassung in franz. Sprache , Systemvoraussetzungen: PDF Reader.

Language: English

Keywords: Amtsdruckschrift ; Arbeitspapier ; Graue Literatur

DOI: 10.1787/5jrqppx9xh8q-en

URL: Volltext

URL: lizenzpflichtig

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ISBN: 9780444594761

Content: Individual well-being depends not only on income but also on other dimensions of life, such as health, the quality of social relations and of the environment, employment, and job satisfaction. In this chapter we survey the economic literature on how to construct such overall measures of well-being. We distinguish three approaches: the capability (and functionings) approach, the use of subjective life satisfaction measures, and the calculation of equivalent incomes. We discuss the normative assumptions underlying these three approaches, focusing on two issues: the degree to which individual preferences are respected and where in each approach the boundaries of individual responsibility are drawn. We compare the measurement of inequality in well-being with the use of multidimensional inequality measures. We illustrate the general theoretical issues in three domains of application: measuring the effects of household size and composition in the literature on equivalence scales, valuing publicly provided goods and services, and making international comparisons of well-being involving international purchasing power parity comparisons.

In: Handbook of income distribution, Amsterdam : North Holland, 2015, (2015), Seite 67-140, 9780444594761

In: 0444594760

In: year:2015

In: pages:67-140

Language: English

DOI: 10.1016/B978-0-444-59428-0.00003-5

URL: Volltext  (Deutschlandweit zugänglich)

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ISSN: 1079-5014

In: The journals of gerontology / B, Cary, NC : Oxford Univ. Pr., 1995, 74(2019), 2, Seite 364-372, 1079-5014

In: volume:74

In: year:2019

In: number:2

In: pages:364-372

Language: English

UID:

Format: Online-Ressource (26 S. = 883 KB) , Diagramme , pdf

Series Statement: Working Paper 16/04

Content: This paper explores how to measure successful aging in a manner consistent with the preferences of older persons about what matters in their lives. First it considers the extent to which existing objective and subjective measures of successful aging reflect those preferences. It is found that both objective and subjective measures may contradict preferences that are held unanimously by older persons. Subsequently a new measure of successful aging is proposed that is consistent with those preferences. The implementation of the preference-based measure is illustrated with data for 11 European countries from the Survey of Health, Ageing and Retirement in Europe (SHARE). The proposed measure is found to yield different results than existing objective and subjective measures in terms of how successful aging has evolved between 2007 and 2013, how countries are ranked for successful aging, and the shape of the age distribution of successful aging

Note: Differences between the printed and electronic version are possible

Language: English

Keywords: strg+t

URL: Volltext

URL: Volltext