scholarly journals Income distribution in European countries

1996 ◽  
pp. 41-63 ◽  
Author(s):  
Lee Rainwater ◽  
Tim Smeeding
Keyword(s):  
Income Distribution ◽  
European Countries

INTERGENERATIONAL OCCUPATIONAL MOBILITY IN 19TH-CENTURY SPAIN (VALENCIA), 1841-1870

2020 ◽  
pp. 1-46
Author(s):  
Carlos Santiago-Caballero
Keyword(s):  
Income Distribution ◽  
Empirical Evidence ◽  
19Th Century ◽  
Economic History ◽  
Occupational Mobility ◽  
International Markets ◽  
International Perspective ◽  
European Countries ◽  
Downward Mobility ◽  
Agrarian Capitalism

ABSTRACT This paper sheds light on a crucial period of Spanish economic history, analysing changes in intergenerational occupational mobility. We use newly collected empirical evidence from Valencia, a region that followed a path of growth based on agrarian capitalism focused on international markets. We show that occupational mobility improved between 1841 and 1850, but that this situation reversed during the following decades. The opportunities offered to individuals from poorer families quickly disappeared. Put in international perspective, occupational mobility in Valencia was far lower than in other European countries, where both downward and especially upward mobility were considerably higher. By 1870, Valencia had become a polarised society, where the lowest part of the income distribution suffered increasing pauperisation and downward mobility.

Theory of Persistent Income Inequality

2020 ◽  
pp. 69-80
Author(s):  
Fatma Zeren ◽  
Mustafa Ercan Kılıç
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
European Countries ◽  
Human Beings ◽  
Overall Justice

Psychology stipulates justice is one of the most powerful feelings of human beings. Societies strengthen as overall justice increases. People are seeking justice in many areas. A more fair income distribution has always been desired in almost every society since the beginning of civilizations. In recent times, European countries are known to be the most fair societies, at least within their boundaries. So, taking into account these facts, what can be said about income inequality levels for EU-15? This chapter tries to find an empirical answer for this question. There is also a solution for income inequality.

scholarly journals Measuring income inequalities beyond the Gini coefficient

2019 ◽  
Vol 28 (2) ◽  
pp. 561-578 ◽  
Author(s):  
Mikuláš Luptáčik ◽  
Eduard Nežinský
Keyword(s):  
Income Distribution ◽  
Gini Coefficient ◽  
Gini Index ◽  
European Countries ◽  
Lower Income ◽  
Poverty Index ◽  
New Approach ◽  
Income Groups ◽  
Head Count ◽  
Weights Restrictions

AbstractGrowing interest in the analysis of interrelationships between income distribution and economic growth has recently stimulated new theoretical and empirical research. Measures such as the head-count ratio for the poverty index or the widely used Gini coefficient are aggregated indicators describing the general extent of inequality without deeper insights into income distribution among households. To derive an indicator accounting for income distribution among income groups, we propose a new approach based on an output oriented DEA model where the input value is unitized to 1 for each country and weights restrictions imposed so as to favour a higher income share in the lower quantiles. We demonstrate the merits of this approach on the quintile income breakdown data of 29 European countries. Prioritizing lower income groups’ welfare, countries such as Slovenia and Slovakia can be equally favoured by the new proposed indicator while being assessed differently by the Gini index. An intertemporal analysis reveals a slight deterioration of income distribution in the majority of 29 European countries over the period of 2007–2016 in a Rawlsian sense.

scholarly journals Vertical intra-industry trade, technology and income distribution: A panel data analysis of EU trade with Central-East European countries

2009 ◽  
Vol 59 (1) ◽  
pp. 1-22 ◽  
Author(s):  
H. Gabrisch
Keyword(s):  
Income Distribution ◽  
Fixed Effects ◽  
Transition Period ◽  
Panel Data Analysis ◽  
European Countries ◽  
Factor Endowment ◽  
East European ◽  
Industry Trade ◽  
Ricardian Approach ◽  
Bilateral Differences

This paper tests a neo-Heckscher-Ohlin versus a neo-Ricardian framework for explaining vertical intra-industry trade. The study applies panel techniques with instrument variables to analyse trade between ‘old’ EU and 10 Central-East European countries in their post-transition period. Results show country-pair fixed effects to be of high relevance for explaining vertical intra-industry trade. Technology differences are positively, while differences in factor endowment, measured in GDP per capita, are negatively correlated with vertical intra-industry trade, and confirm the relevance of the neo-Ricardian approach. In addition, changing bilateral differences in personal income distribution during the transition of Central-East European countries towards a market economy contribute to changes in vertical intra-industry trade.

Education expenditures and income distribution: an empirical analysis on European countries

Humanomics ◽  
2016 ◽  
Vol 32 (3) ◽  
pp. 248-257
Author(s):  
Ferdi Celikay ◽  
Mehmet Sengur
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Gini Coefficient ◽  
European Countries ◽  
Education Expenditure ◽  
Content Type ◽  
The Gini Coefficient ◽  
Education Expenditures ◽  
Short And Long Term

Purpose This study aims to examine the relationship between public sector education expenditure and the GINI coefficient as a measure of injustice in income distribution. Design/methodology/approach Data from 31 European countries gathered from 2004 to 2011 were analyzed using panel error correction models. Findings According to the study’s findings, a relationship between education expenditures and the GINI coefficient exists. There is a 1 per cent increase for the European countries examined in this study in their rate of education expenditure in gross domestic product (GDP), which raises the GINI coefficient by 0.20 per cent in the short-term and decreases it by 0.22 per cent in the long-term, as expected. Thus, an increase in the proportion of education expenditures in GDP affects the GINI coefficient in a statistically significant, negative way over the long-term. Originality/value This study fills a gap in the literature by determining whether the interaction between education expenditure and GINI coefficient changes in the short- and long-term. The results show that education expenditure generates positive results particularly by lowering income inequality in the long-term. This interaction can be more clearly observed in developing countries. So this conclusion adds an important empirical evidence to the literature and it may contribute in forming policies toward reducing income inequality.

scholarly journals European COVID -19 Pandemic Data and Social Inclusion Policy in the European Union: Drivers-Driven Trend Analysis

2021 ◽  
Vol 18 (1) ◽  
pp. 82-99
Author(s):  
Jari Kaivo-oja ◽  
Samuli Aho ◽  
Theresa Lauraéus
Keyword(s):  
European Union ◽  
Disease Prevention ◽  
Income Distribution ◽  
Prevention And Control ◽  
Social Inclusion ◽  
European Countries ◽  
The European Union ◽  
European Centre ◽  
Key Indicators ◽  
And Control

Abstract Research purpose. The study is focused on the Covid-19 pandemic crisis in the European Union. This study investigates the current driving trends and trade-offs of the Covid-19 pandemic phenomenon and social inclusion trends in the European countries. Design / Methodology / Approach. The methodology is based on conventional statistical index theory and statistics. The study investigates cases, deaths, and key Covid-19 statistics. The research design combines key social inclusion statistics of the Eurostat and the official Covid-19 statistics of the European Centre for Disease Prevention and Control. Covid-19 data is updated to 1.3.2021. Social inclusion variables are selected from the Eurostat database. Social inclusion variables cover poverty, material deprivation, income distribution, income, quality of life, employment, and education matters. Scattering matrices on the relationships among the key variables under review are reported. Findings. The study reports basic trends of Covid-19 cases, deaths, deaths/cases and calculates these Covid-19 trends in 29 European countries. This study reports trade-off analyses of key social inclusion trends of the European Union countries. Key indicators are linked to economic income, income distribution, poverty, gender issues, and housing statistics. The 19 key indicators of social inclusion are analysed and reported with Covid-19 data. Statistical correlation analysis tables (2a and 2b) are calculated with key European social inclusion indicators. The study reveals some relevant aspects of the social inclusion policy of the European Union about the ongoing Covid-19 crisis and exit strategies. Originality / Value / Practical implications. This conference paper demonstrates novel and exciting possibilities of integrated data pooling (The Eurostat and the European Centre for Disease Prevention and Control). Original results of key trend drivers are provided by the authors. Value-adding and interesting results are delivered for European governments and the business community. Results and findings of the study can be used in the planning of economic recovery and Covid-19 exit policies in the member states of the European Union.

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