We estimate the effect of regional income inequality on emigration rates of Austrian municipalities using a unique data set that is constructed We estimate the effect of regional income inequality on emigration rates of Austrian municipalities using a unique data set that is constructed based on individual level data from Austrian administrative registers. The register-based data contains information on the municipality of residence of all individuals aged 16 and over that have their main residency in Austria, as well as their income and socio-demographic characteristics. Aggregating this information to the municipality level allows us to assess the role of relative deprivation - a measure of relative income - on top of absolute income in shaping internal migration in Austria. We find that increases in relative deprivation in a municipality lead to higher emigration from the municipality. Allowing for heterogeneous effects across income, education, and age groups reveals that the effect is stronger among those with comparably low levels of income, and among low skilled and young individuals. / Series: INEQ Working Paper Series

This paper analyses the role of the spatial structure of migrant networks in the location decision of migrants to the European Union at the regional level. Using a random parameters logit specification, a significant positive effect of migrant networks in neighbouring regions on migrants' location decisions is found. Although this spatial spillover effect is smaller than the effect of networks in the host regions, omitting to control for this spatial dependence results in a 40% overestimation of the effect of regional migrant networks on the location decision of newly arriving migrants.

Aún a pesar de la importancia de los movimientos poblacionales en nuestro país, la revisión de la literatura existente sugiere una falta de esfuerzo en estudiar de manera integrada la magnitud y la dirección de los flujos migratorios, especialmente de los movimientos internos. Este trabajo además de describir el proceso migratorio en Argentina y caracterizar a la población migrante, estudia los determinantes de las decisiones de migración, con especial énfasis en las características individuales y regionales, así como la influencia de las políticas públicas provinciales. Utilizando datos de la Encuesta Permanente de Hogares, se estiman modelos para la probabilidad de ser migrante, tendiendo en cuenta estas características sociodemográficas y de las regiones de origen y destino de la población. Las estimaciones indican que las características individuales y los gastos en educación, vivienda pública y en programas de empleo que realizan las provincias son factores que determinan significativamente las decisiones de migración. El grado de urbanización y los recursos naturales de las provincias son las características regionales que más influencia tienen sobre los movimientos entre provincias.

We assess empirically the changes in returns to education at the subnational level in Uganda using the Uganda National Household Surveys for 2002/2003 and 2005/2006. Our results indicate that average returns to schooling tended to converge across regions in the last decade. The overall trend in convergence of returns to schooling took place at all levels of educational attainment and this behaviour in returns to education is mostly driven by the dynamics of returns to schooling in urban areas. We analyse subnational convergence in returns to education and unveil deviant dynamics in Northern Uganda. We discuss the potential challenges to inclusive economic growth in Uganda which are implied by our results. (authors' abstract) / Series: Department of Economics Working Paper Series

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Based on an individual longitudinal data on dependent employment we analyse the role of Creative Industries for the employment system of Vienna. We focus on gross job flows and firm dynamics in this priority field of Vienna's urban policy and analyse the characteristics of the different parts of the cluster's production system. We find ample evidence for positive effects of Creative Industries on employment growth and firm birth, but also reveal considerable job turnover and a large heterogeneity of firm growth in the cluster. Especially, we find rather different evolutions along the clusters value chain, which points to weak linkages between upstream and downstream activities in the cluster. (author's abstract) / Series: Creative Industries in Vienna: Development, Dynamics and Potentials

Recent technological, social, and economic trends and transformations are contributing to the production of what is usually referred to as Big Data. Big Data, which is typically defined by four dimensions -- Volume, Velocity, Veracity, and Variety -- changes the methods and tactics for using, analyzing, and interpreting data, requiring new approaches for data provenance, data processing, data analysis and modeling, and knowledge representation. The use and analysis of Big Data involves several distinct stages from "data acquisition and recording" over "information extraction" and "data integration" to "data modeling and analysis" and "interpretation", each of which introduces challenges that need to be addressed. There also are cross-cutting challenges, which are common challenges that underlie many, sometimes all, of the stages of the data analysis pipeline. These relate to "heterogeneity", "uncertainty", "scale", "timeliness", "privacy" and "human interaction". Using the Big Data analysis pipeline as a guiding framework, this paper examines the challenges arising in the use of Big Data in regional science. The paper concludes with some suggestions for future activities to realize the possibilities and potential for Big Data in regional science. / Series: Working Papers in Regional Science