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For a long time in-work poverty was not associated with European
welfare states. Recently, the topic has gained relevance as welfare
state retrenchment and international competition in globalized
economies has put increasing pressures on individuals and families.
This book provides explanations as to why in-work poverty is high
in certain countries and low in others. Much of the present concern
about the working poor has to do with recent changes in labour
market policies in Europe. However, this book is not primarily
about low pay. Instead, it questions whether gainful employment is
sufficient to earn a living - both for oneself and for one's family
members. There are, however, great differences between European
countries. This book argues that the incidence and structure of the
working poor cannot be understood without a thorough understanding
of each country's institutional context. This includes the system
of wage-setting, the level of decommodification provided by the
social security system and the structure of families and
households. Combining cross-country studies with in-depth analyses
from a national perspective, the book reveals that in-work poverty
in Europe is a diverse, multi-faceted phenomenon occurring in
equally diverse institutional, economic and socio-demographic
settings. With its rich detail and conclusions, this genuinely
comparative study will be of interest to academics and researchers
of labour and welfare economics, social policy and European studies
as well as to policy advisers.
First published in 1998, this books considers defining the concept
of poverty as a collective issue through an empitrical view point
on an international scale. Looking to define 'poverty' by compiling
case studies by academics writing from viewpoints in a variety of
individual countries.
First published in 1998, this books considers defining the concept
of poverty as a collective issue through an empitrical view point
on an international scale. Looking to define 'poverty' by compiling
case studies by academics writing from viewpoints in a variety of
individual countries.
Cross-National Comparative Research is concerned with observing
social phenomena across countries, and with developing explanations
for their similarities and differences. This Special Issue focuses
on the use of Cross-National Comparative Research to study the
effects of national and sub-national contexts on behaviors and
attitudes of individual actors. Moreover, it is of interest how
behaviors and attitudes at the individual level lead to national
and sub-national outcomes at the meso and macro levels. How do
immigration policies affect migrants' well-being? Does the number
of divorcees in a country influence individual divorce risks? Are
human values universal, or do they vary from one country to
another? Under which conditions is political protest triggered, and
when does it lead to revolutionary changes within society? These
and other questions are typical of cross-national comparative
analyses that seek to ascertain how upper-level (macro, meso)
contexts influence micro-level phenomena, and how outcomes at the
individual level are once more reflected at the meso and macro
levels. Prof. Dr. Hans-Jurgen Andress, Prof. Dr. Detlef
Fetchenhauer and Prof. Dr. Heiner Meulemann teach sociology and
social psychology at the University in Cologne, Germany.
Many economic and social surveys are designed as panel studies,
which provide important data for describing social changes and
testing causal relations between social phenomena. This textbook
shows how to manage, describe, and model these kinds of data. It
presents models for continuous and categorical dependent variables,
focusing either on the level of these variables at different points
in time or on their change over time. It covers fixed and random
effects models, models for change scores and event history models.
All statistical methods are explained in an application-centered
style using research examples from scholarly journals, which can be
replicated by the reader through data provided on the accompanying
website. As all models are compared to each other, it provides
valuable assistance with choosing the right model in applied
research. The textbook is directed at master and doctoral students
as well as applied researchers in the social sciences, psychology,
business administration and economics. Readers should be familiar
with linear regression and have a good understanding of ordinary
least squares estimation.
Many economic and social surveys are designed as panel studies,
which provide important data for describing social changes and
testing causal relations between social phenomena. This textbook
shows how to manage, describe, and model these kinds of data. It
presents models for continuous and categorical dependent variables,
focusing either on the level of these variables at different points
in time or on their change over time. It covers fixed and random
effects models, models for change scores and event history models.
All statistical methods are explained in an application-centered
style using research examples from scholarly journals, which can be
replicated by the reader through data provided on the accompanying
website. As all models are compared to each other, it provides
valuable assistance with choosing the right model in applied
research. The textbook is directed at master and doctoral students
as well as applied researchers in the social sciences, psychology,
business administration and economics. Readers should be familiar
with linear regression and have a good understanding of ordinary
least squares estimation.
In recent decades the probability of divorce and separation among
married and cohabiting couples has increased significantly in most
European countries. Focusing on both economic and social aspects,
this comprehensive volume explores the consequences of partnership
dissolution at the individual level. The contributors use personal
characteristics, properties of the partnerships and the
institutional context to explain coping behaviours. The book
comprises reports on eight countries, which have tentatively been
classified as: 'the male breadwinner' (Belgium and Germany), 'the
dual earner' (Denmark, Finland and Sweden), 'the market' (Great
Britain) and 'the family' model (Spain and Greece). It also
contains four cross-national comparative studies addressing the
wider impacts of divorce, including labour force participation,
residential mobility and housing, household income, and poverty and
lifestyle deprivation. Complemented by the editors' authoritative
introduction, this timely study will prove invaluable to graduate
students and researchers interested in the economics and sociology
of the family. Legal and public policy practitioners will also find
the book an insightful addition to the current literature.
Gewinne macht man bei einer Scheidung nicht, so jedenfalls die
landlaufige Meinung, und je nach Standpunkt sagen die einen, Manner
seien die Verlierer, wahrend andere vor allem Frauen und Kinder als
Benachteiligte sehen. Diese Untersuchung betrachtet die
wirtschaftlichen Folgen von Trennung und Scheidung aus
unterschiedlichen Blickwinkeln: Wie verandern sich Einkommen,
Wohnsituation und Erwerbsbeteiligung im Zusammenhang mit einer
Trennung? In welcher Hohe und mit welcher Regelmassigkeit wird
Unterhalt gezahlt? Wie wird das Rechtssystem zur Durchsetzung von
Unterhaltsanspruchen genutzt? Welche Sozialleistungen werden in
Folge einer Trennung in Anspruch genommen? Und wie verandert sich
das subjektive Wohlbefinden nach Trennung und Scheidung? Zur
Beantwortung dieser Fragen greifen die Autoren sowohl auf
Befragungsdaten von Betroffenen als auch auf Informationen aus
Expertengesprachen mit Familienrichtern, Scheidungsanwalten und
anderen Sachverstandigen zuruck.
Mit Hilfe reprasentativer Bevolkerungsumfragen gehen die Autoren
den Fragen nach, wer von Armut betroffen ist, welche Belastungen
daraus fur die Betroffenen resultieren, ob sich ihre sozialen
Netzwerke verandern und wie sie ihren Lebensunterhalt bestreiten
bzw. alltagliche Probleme bewaltigen. Das Ausmass der Armut in
Deutschland ist nicht unerheblich, aber auch nicht dramatisch
gross. Die Belastungen fur die Betroffenen sind aber beachtlich.
Trotzdem unterscheiden sie sich in ihren Bewaltigungsstrategien
nicht wesentlich vom Rest der Bevolkerung."
Dieses Buch behandelt Modelle zur Analyse kategorialer Daten.
Kategoriale Daten sind Variablen, die eine begrenzte Anzahl von
Auspragungen (Kategorien) haben. Bei vielen der in Umfrageforschung
und amtlicher Statistik erhobenen Merkmale handelt es sich um
kategoriale Daten. Beispiele waren etwa das Geschlecht einer
Befragungsperson, ihre Parteipraferenz, die Anzahl der Mitbewohner
im Haushalt dieser Person, ihre Schichtzugehorigkeit und ahnliches
mehr. In diesem Lehrbuch geht es um eine anwendungsorientierte
Einfuhrung in die multivariate Analyse kategorialer Daten. Konkret
werden vier Ansatze vorgestellt: die gewichtete Regression nach
Grizzle, Starmer und Koch (GSK-Ansatz), die Klasse der log-linearen
Modelle, die logistische Regression und die Analyse latenter
Klassen."
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Theorie, Daten, Methoden (German, Hardcover, Reprint 2015 ed.)
Hans Jurgen Andress, Johannes Huinink, Holger Meinken, Dorothea Rumianek, Wolfgang Sodeur, …
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R4,160
Discovery Miles 41 600
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Ships in 10 - 15 working days
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Multivariate Analyseverfahren haben in den letzten Jahren einen
gewaltigen Aufschwung in den Sozialwissenschaften erfahren. Die
Vielfalt der Methoden ist fur den Forschungs- praktiker kaum noch
zu uberblicken. Mit diesem Buch wird der Versuch unternommen, ein
allgemeines Modell statistischer Datenanalyse vorzustellen, das
mehrere multivariate Analyseverfahren als Spezialfall enthiilt.
Dazu ziihlen die klassischen Anwendungen der Regressions-, Varianz-
und Kovarianzanalyse, aber auch verschiedene Methoden zur Ana- lyse
von kreuztabellierten Daten (log-lineare und logistische Modelle,
GSK-Ansatz). Dieses verallgemeinerte lineare Modell wurde von
NELDER und WEDDERBURN (1972) vorgeschlagen. Fur praktische
Auswertungen mit diesem Ansatz steht das Programmpaket GUM zur
Verfugung, das von der Numerical Algorithms Group vertrieben wird.
Bisher sind sowohl der statistische Ansatz als auch das Programm G
LIM in der Forschungspraxis nur sehr zogernd aufgenommen worden.
Das liegt sicherlich zum groBen Teil daran, daB der Grad der
statistischen Formalisierung relativ hoch und der Umfang der
Programm- dokumentation relativ gering ist. Vor allem fehlt es an
konkreten Beispielen, wie man mit einem Datensatz z. B. eine
Regressionsanalyse oder ein log-lineares Modell berechnet.
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