Income Distribution and Poverty in Selected OECD Countries

Burniaux, Jean-Marc; Dang, Thai-Thanh; Fore, Douglas; Förster, Michael; d’Ercole, Marco Mira; Oxley, Howard

doi:10.2139/ssrn.237369

Cited by 69 publications

(70 citation statements)

References 36 publications

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“…A very wide variety of studies of poverty in individual countries, both descriptive and econometric, find that those in work are much less likely to be poor than the unemployed or working-age inactive. Cross-country differences in labour market performance and structure then seem a natural starting point in seeking to understand cross-country variation in poverty rates (Burniaux et al, 1998;Förster and D'Ercole, 2005). The poverty rate among the working-age population varies greatly across OECD countries and is indeed the main contributor to overall poverty headcounts (see for example OECD, 2009).…”

Section: The Labour Market Education and Active Labour Market Policymentioning

confidence: 99%

The Welfare State and Antipoverty Policy in Rich Countries

Marx

Nolan²,

Olivera

2015

Handbook of Income Distribution

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Section: The Labour Market Education and Active Labour Market Policymentioning

confidence: 99%

The Welfare State and Antipoverty Policy in Rich Countries

Marx

Nolan²,

Olivera

2015

Handbook of Income Distribution

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“…values of θ are 0.5 and 1 (Atkinson, et al, 1995;Burniaux, et al, 1998). In the macro literature, the conceptually equivalent risk aversion parameter is estimated to be less than one.…”

Section: Inequality Measurementmentioning

confidence: 99%

The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets

François

Rojas‐Romagosa

2005

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes.You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. licence. www.econstor.eu Please send questions and/or remarks of nonscientific nature to driessen@tinbergen.nl. If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicatedMost TI discussion papers can be downloaded at http://www.tinbergen.nl. The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets Joseph F. Francois Tinbergen Institute (Erasmus University Rotterdam) and CEPR Hugo Rojas-Romagosa Tinbergen Institute (Erasmus University Rotterdam) August 2005Abstract: The inequality dataset compiled in the 1990s by the World Bank and extended by the UN has been both widely used and strongly criticized. The criticisms raise questions about conclusions drawn from secondary inequality datasets in general. We develop techniques to deal with national and international comparability problems intrinsic to such datasets. The result is a new dataset of consistent inequality series, allowing us to explore problems of measurement error. In addition, the new data allow us to perform parametric non-linear estimation of Lorenz curves from grouped data. This in turn allows us to estimate the entire income distribution, computing alternative inequality indexes and poverty estimates. Finally, we have used our broadly comparable dataset to examine international patterns of inequality and poverty.Keywords: Income distribution datasets, inequality trends, Lorenz curve estimation, poverty estimation JEL codes: D31, C80, O15We acknowledge support from the EU research and training network (RTN) "Trade, Industrialization, and Development," as well as research support from DFID and the World Bank. All errors are of course our own.Address correspondence to: J. Francois, Tinbergen Institute, Erasmus University Rotterdam, Burg Oudlaan 50-H8-18, 3000DR Rotterdam, NETHERLANDS. Email: francois@few.eur.nl. Data are available at www.intereconomics.com/francois/data.html. OverviewThere is a sizeable literature regarding the interaction between income inequality and other economic variables, such as growth, poverty, trade and ...

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“…Sammenlignet med andre vestlige lande bruges i de skandinaviske lande en forholdsvis stor andel af bruttonationalproduktet på offentlige velfaerdsydelser (omkring 30 procent), der sker en betydelig omfordeling af indkomster gennem skattesyste-met, og videregående uddannelser er for mestendels gratis. Som en konsekvens heraf er indkomstspredningen i Danmark lav, og der er en meget lav forekomst af indkomstfattigdom sammenlignet med andre, vestlige lande (Burniaux et al, 1998). Det er inden for rammen af denne universelle velfaerdsmodel, at vi skal analysere effekten af kapitalformerne for unges uddannelseschancer.…”

Section: Uddannelsesmobilitet I En Skandinavisk Velfaerdsstatsmodelunclassified

Penge, (ud)dannelse, forbindelser eller brains?: En test af fire forældreressourcers betydning for unges uddannelsesvalg i Danmark

Jæger¹,

Holm²

2006

dansoc

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Penge, (ud)dannelse, forbindelser eller brains?En test af fire foraeldreressourcers betydning for unges uddannelsesvalg i Danmark En bred vifte af sociale baggrundsforhold påvirker folks uddannelseschancer i det moderne velfaerdssamfund. I artiklen analyseres -med udgangspunkt i Pierre Bourdieus kapitalbegreb -effekten af fire typer kapital i opvaekstmiljøet for unges uddannelsesvalg i Danmark: økonomisk, kulturel, social og kognitiv kapital. Analysen indikerer, at kulturel kapital er af størst betydning for, om unge vaelger akademisk orienterede, videregående uddannelser, mens social kapital er af betydning for, om man opnår en faglig uddannelse. Omfanget af økonomisk og kognitiv kapital i opvaekstmiljøet synes ikke at spille nogen rolle for unges uddannelseschancer.

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Income Distribution and Poverty in Selected OECD Countries

Cited by 69 publications

References 36 publications

The Welfare State and Antipoverty Policy in Rich Countries

The Welfare State and Antipoverty Policy in Rich Countries

The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets

Penge, (ud)dannelse, forbindelser eller brains?: En test af fire forældreressourcers betydning for unges uddannelsesvalg i Danmark

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