1,721,007 research outputs found
Overeducation and externalities in the EU: the combined moderating influence of migration and gender
No full textUsing a bivariate probit model to control for selective access to employment, this paper aims to see whether, as expected by theory, migration lowers the problem of overeducation and gender division raises it, paying particular attention to the role of the proximity, interactions and externalities of the various regions in the EU. The results show that workers with low probability of employment run a high risk of overeducation when they find a job. However, the results do not show evidence that male immigrants run a lower risk of overeducation than others. Highly educated people are more likely to migrate within a country not only to achieve better career prospects and greater employment opportunities, but also to reduce the propensity for overeducation. The economic development and educational endowment of the region where a worker lives can explain the risk of overeducation
Income and educational inequalities in the regions of the European Union: geographical spillovers under welfare state restrictions
No full textThis paper uses a balanced dataset extracted from the European Community Household Panel data survey for 94 regions over the period 1995-2000 to examine the relationship between income and educational inequalities in the regions of the European Union. It highlights the importance of geography and institutions in accounting for the economic performance of the European regions. The regression results suggest a positive relationship between income and educational inequalities, which have evolved differently across welfare regimes. Using different designs of spatial weights matrices which concern not only distance, but also the welfare regime, this paper shows that both spatial autocorrelation and spatial heterogeneity matter for inequalities
Urbanisation and socioeconomic status in the European regions: the role of population ageing and capital city regions
No full textReviews: Tselios on Leyshon, Lee, McDowell, Sunley (Eds): The Sage handbook of economic geography
Full text linkIs inequality good for innovation?
No full textIs inequality good for innovation? This article addresses this question, using aggregated microeconomic data for 102 regions over the period 1995—2000 from the European Community Household Panel (ECHP) data set, complemented with Eurostat’s Regio data. Static and dynamic panel data specifications and Granger causality tests for panel data are used to assess the relationship between patents, included as a proxy for innovation and income inequality. The results indicate that, given existing levels of income inequality in European Union (EU), an increase in a region’s inequality favors innovation. In addition, geographic space is a key factor in explaining the heterogeneous association between innovation and inequality, and innovation is characterized by circular, cumulative, and intraregional spillover effects. The above findings are robust to changes in the definition of income distribution and across inequality measurements
Growth and Convergence in Income Per Capita and Income Inequality in the Regions of the EU
No full textAbstract The neoclassical growth model predicts that there will be both a reduction of income per capita disparities over time and long-term convergence in income inequality levels. This paper examines whether this holds true for the EU using data from the European Community Household Panel for 102 regions over the period 1995–2000. The analysis is conducted using cross-sectional and panel data growth models with spatial interaction effects. The results reveal the presence of a conditional convergence in income per capita after controlling for educational attainment, unemployment, sectoral composition, spatially lagged growth of income per capita, and regional fixed effects, and that of an unconditional convergence in income inequality. Expansion et convergence dans les revenus par habitant et inégalité des revenus dans les régions de l'UE RÉSUMÉ Le modèle de croissance néoclassique prévoit que l'on assistera, à terme, à une réduction des disparités entre les revenus par habitant, ainsi qu’à une convergence à long terme des disparités dans l'inégalité des revenus. La présente communication examine l'applicabilité éventuelle de ce modèle à l'UE, en utilisant des données de l'European Community Household Panel pour 102 régions, au cours de la période 1995–2000. On effectue cette analyse en utilisant des modèles de croissance transversaux et de commissions, avec des effets d'interaction spatiale: ses résultats révèlent l'existence d'une convergence des revenus par habitant, après avoir contrôlé les réalisations éducationnelles, la composition sectorielle, la croissance du retard spatial des revenus par habitant, ainsi que des effets régionaux fixes, ainsi que la présence d'une convergence inconditionnelle dans l'inégalité des revenus. Crecimiento y convergencia en ingresos per capita y desigualdad de ingresos en las regiones de la UE RÉSUMÉN El modelo neoclásico de crecimiento predice que con el tiempo se producirá una reducción de las disparidades en los ingresos per capita, así como una convergencia a largo plazo de los niveles de desigualdad de ingresos. Este trabajo examina la veracidad de este caso en la UE utilizando datos procedentes del European Community Household Panel aplicables a 102 regiones durante el período 1995–2000. El análisis se conduce utilizando modelos de crecimiento de datos transeccionales y de panel con efectos de interacción espacial. Los resultados revelan la presencia de una convergencia condicional en los ingresos per capita después de controlar el rendimiento educacional, desempleo, composición sectoral, crecimiento limitado espacialmente de los ingresos per capita y efectos regionales fijos, así como la presencia de una convergencia incondicional en la desigualdad de ingresos.Income inequality, convergence, spatial econometrics, Europe, C21, C23, O12, O52,
Can we prevent disasters using socioeconomic and political policy tools?
No full textCan a nation prevent a hazard-related disaster by investing in socioeconomic and political policy tools? Drawing on 8 global datasets (1960-2016) and using a fixed effects logit model, we examine the importance of socioeconomic and political factors in changing the likelihood of disasters in 224 countries. We find that socioeconomic factors are of more importance than political factors. Low-income countries are significantly more disaster prone than high-income countries; this effect is stronger and more robust for natural than technological disasters. Higher national population density increases the probability that a hazard turns into a disaster; this effect is much stronger and robust for technological than natural disasters. Educational endowment has a negative and statistically significant effect on the probability of all disasters, especially for natural-related disasters. In terms of political factors, there is no evidence that government composition and federalism influence a country’s natural or technological disaster probability. Nevertheless, there is very weak evidence that quality of governance has a positive and statistically significant effect on the likelihood of disasters. Our findings point out that we can prevent natural and technological disasters by investing in economic development, investing in education, and managing disaster prone in high urban areas. These findings highlight the importance of focusing efforts on addressing larger scale macro-economic, social and cultural distortions that generate vulnerability, as well as the prioritizing investment in both the Sendai Priorities and the Sustainable Development Goals that previously have not been linked to disaster probability
Welfare regimes and the incentives to work and get educated
Full text linkThis paper examines whether differences in welfare regimes shape the incentives to work and get educated. Using microeconomic data for more than 100,000 European individuals, we show that welfare regimes make a difference for wages and education. First, people-based and household-based effects (internal returns to education, and household wage and education externalities) generate socioeconomic incentives for people to get an education and work which are stronger in countries with the weakest welfare systems, that is, those with what is known as 'residual' welfare regimes (Greece, Italy, Spain and Portugal). Second, place-based effects and, more specifically, differences in regional wage per capita and educational endowment and in regional interpersonal income and educational inequality, also influence wages and education in different ways across welfare regimes. Place-based effects have the greatest impact in the Nordic social-democratic welfare systems. The results are robust to the inclusion of a large number of people-based and place-based controls
Returns to migration, education and externalities in the European Union
No full textThis paper uses microeconomic data for more than 100,000 European individuals in order to analyse whether the individual economic returns to education vary between migrants and non-migrants and whether any differences in earnings between these two groups are affected by household and/or geographical (regional and interregional) externalities. The results point out that while education is a fundamental determinant of earnings, European labour markets do not discriminate in the returns to education between migrants and non-migrants. Household, regional and supra-regional externalities influence the economic returns to education in a similar way for local, intranational and supra-national migrants. The results are robust to the introduction of a large number of individual, household and regional controls.<br/
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