The effect of social transfers in Europe An empirical analysis using Generalised Lorenz Curves

'This paper aims at examining the impact of different transfers on the income distribution in European countries. Therefore an empirical analysis using generalised Lorenz curve comparisons is carried out. The obtained results are investigated by relating them to a classification of European social transfer systems.' (author's abstract)Gegenstand der Untersuchung sind die Auswirkungen unterschiedlicher Transferzahlungen auf die Einkommensverteilung in europaeischen Laendern. Die vorgelegte empirische Untersuchung arbeitet mit generalisierten Lorenz-Kurven. Die Verfasserin setzt die Ergebnisse dieser Untersuchung in Beziehung zu einer Klassifikation von sozialen Transfersystemen in Europa. (ICEUebers)German title: Die Auswirkungen sozialer Transfers in Europa: eine empirische Analyse mit Hilfe generalisierter Lorenz-KurvenAvailable from http://www.ceps.lu/iriss/documents/irisswp25.pdf / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

Trends in income inequality, pro-poor income growth and income mobility

'We provide an analytical framework within which changes in income inequality over time are related to the pattern of income growth across the income range, and the reshuffling of individuals in the income pecking order. We use it to explain how it was possible both for 'the poor' to have fared badly relatively to 'the rich' in the USA during the 1980s (when income inequality grew substantially), and also for income growth to have been pro-poor. Income growth was also pro-poor in Western Germany, more so than in the USA, and inequality did not rise as much.' (author's abstract)Die Autoren entwickeln einen analytischen Rahmen, innerhalb dessen untersucht werden kann, welche Veraenderungen in der Einkommensungleichheit im Zeitablauf in Zusammenhang mit dem allgemeinen Muster der Einkommenszunahme und der Umgruppierung von Einzelpersonen in der Einkommens-Rangordnung stehen. Hierdurch kann auch erklaert werden, wie es moeglich war, dass die Armen in den USA in den 1980er Jahren - als die Einkommensungleichheit betraechtlich anstieg - relativ schlecht im Vergleich zu den Reichen abschnitten, obwohl der Einkommenszuwachs zu ihren Gunsten sprach. Das Einkommenswachstum entwickelte sich in Westdeutschland ebenfalls zu Gunsten der Armen, mehr noch als in den USA, die Ungleichheit nahm aber nicht in gleichem Masse zu. (ICIUebers)German title: Trends der Einkommensungleichheit, die Armen beguenstigendes Einkommenswachstum und EinkommensmobilitaetAvailable from Deutsches Institut fuer Wirtschaftsforschung -DIW Berlin-, Berlin (DE) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

EVS Trend File 1981-2017 – Sensitive Dataset

The European Values Study is a large-scale, cross-national and longitudinal survey research program on how Europeans think about family, work, religion, politics, and society. Repeated every nine years in an increasing number of countries, the survey provides insights into the ideas, beliefs, preferences, attitudes, values, and opinions of citizens all over Europe. The EVS Trend File 1981-2017 is constructed from the five EVS waves and covers almost 40 years. In altogether 160 surveys, more than 224.000 respondents from 48 countries/regions were interviewed. It is based on the updated data of the EVS Longitudinal Data File 1981-2008 (v.3.1.0) and the current EVS 2017 Integrated Dataset (v.5.0.0). For the EVS Trend File, a Restricted-Use File (ZA7504) is available in addition to the (factually anonymised) Scientific-Use File (ZA7503). The EVS Trend File – Sensitive Dataset (ZA7504) is provided as an add-on file. In addition to a small set of admin and protocol variables needed to merge with the SUF data, the Sensitive Dataset contains the following variables that could not be included in the scientific-use file due to their sensitive nature: W005_3 Job profession/industry (3-digit ISCO88) - spouse/partner EVS 2008W005_3_01 Job profession/industry (3-digit ISCO08) - spouse/partner EVS 2017W005_4 Job profession/industry (4-digit ISCO88) - spouse/partner EVS 2008X035_3 Job profession/industry (3-digit ISCO88) – respondent EVS 1999, EVS 2008 X035_3_01 Job profession/industry (3-digit ISCO08) - respondent EVS 2017X035_4 Job profession/industry (4-digit ISCO88) – respondent EVS 1999, EVS 2008 x048c_n3 Region where the interview was conducted (NUTS-3): NUTS version 2006 EVS 2008X048J_N3 Region where the interview was conducted (NUTS-3): NUTS version 2016 EVS 2017X049 Size of town (8 categories) EVS 2008, EVS 2017 Detailed information on the anonymization process in the EVS Trend File is provided in the EVS Trend File Variable Report