Perceptions of Electoral Fairness and Voter Turnout

Previous research has established a link between turnout and the extent to which voters are faced with a “meaningful” partisan choice in elections; this study extends the logic of this argument to perceptions of the “meaningfulness” of electoral conduct. It hypothesizes that perceptions of electoral integrity are positively related to turnout. The empirical analysis to test this hypothesis is based on aggregate-level data from 31 countries, combined with survey results from Module 1 of the Comparative Study of Electoral Systems survey project, which includes new and established democracies. Multilevel modeling is employed to control for a variety of individual- and election-level variables that have been found in previous research to influence turnout. The results of the analysis show that perceptions of electoral integrity are indeed positively associated with propensity to vote. </jats:p

ILR Research in Progress 2006-07

The production of scholarly research continues to be one of the primary missions of the ILR School. During a typical academic year, ILR faculty members published or had accepted for publication over 25 books, edited volumes, and monographs, 170 articles and chapters in edited volumes, numerous book reviews. In addition, a large number of manuscripts were submitted for publication, presented at professional association meetings, or circulated in working paper form. Our faculty's research continues to find its way into the very best industrial relations, social science and statistics journals.Research_in_Progress_2006_07.pdf: 18 downloads, before Oct. 1, 2020

Ethnic inequality

This study explores the consequences and origins of between-ethnicity economic inequality both across and within countries. First, combining satellite images of nighttime luminosity with the historical homelands of ethnolinguistic groups we construct measures of ethnic inequality for a large sample of countries and show that the latter is strongly inversely related to comparative development. Second, differences in geographic endowments across ethnic homelands explain a sizable portion of ethnic inequality contributing to its persistence over time. Third, exploiting across-district within-African countries variation using individual-level data on ethnic identification and well-being from the Afrobarometer Surveys we find that betweenethnic- group inequality is systematically linked to regional under-development. In this sample we also explore the channels linking ethnic inequality to (under) development, finding that ethnic inequality maps to political inequality, heightened perceptions of discrimination and undersupply of public goods

Determinants of choice of migration destination

Internal migration plays an important role in moderating regional differences in well-being. This paper analyzes migrants'choice of destination, using Census and Living Standard Surveys data from Nepal. The paper examines how the choice of a migration destination is influenced by income differentials, distance, population density, social proximity, and amenities. The study finds population density and social proximity to have a strong significant effect: migrants move primarily to high population density areas where many people share their language and ethnic background. Better access to amenities is significant as well. Differentials in expected income and consumption expenditures across districts are found to be relatively less important in determining migration destination choice as their effects are smaller in magnitude than those of other determinants. The results of the study suggest that an improvement in amenities (such as the availability of paved roads) at the origin could slow down out-migration substantially.Population Policies,Economic Theory&Research,Transport Economics Policy&Planning,,Inequality

The effect of a culturally diverse population on regional income in EU regions

After the crisis years of 2008 and 2009 EU countries followed different employment pathes. Employment and wage levels, for instance, are quite unevenly distributed across Europe. Some of the member states expect labour shortages due to demographic change in the future. If this is the case, wages will rise when the shortages occur. From literature on migration it is well known that regions with relatively higher income levels and a lower risk of unemployment are typical destination countries for immigration. Thus, European regions might be expected to become rather mixed in cultural terms in the future. Despite the filling of the labour market and the redistribution of the resource of labour, the ultimate question raised in the discussion is whether there are additional gains or losses due to immigration. This work therefore focuses on the impact of migrants on regional GDP per capita for European regions. Does the proportion of foreigners in the labour force increase or lower regional income? Does the composition of non-natives with respect to their countries of origin matter? Both questions are addressed in this study while controlling for endogeneity. We provide evidence that immigration raises regional income and a tendency towards (roughly classified) dominant foreign-born groups reduces the costs of interaction and integration. Thus, in general immigration has a positive effect on regional performance and the costs of immigration in destination regions are balanced out. Depending on the labour market status of migrants, the regions of orgin of migrants within the EU face a rise or decline in income as a result of the outflow.

Measuring Thematic Fit with Distributional Feature Overlap

In this paper, we introduce a new distributional method for modeling predicate-argument thematic fit judgments. We use a syntax-based DSM to build a prototypical representation of verb-specific roles: for every verb, we extract the most salient second order contexts for each of its roles (i.e. the most salient dimensions of typical role fillers), and then we compute thematic fit as a weighted overlap between the top features of candidate fillers and role prototypes. Our experiments show that our method consistently outperforms a baseline re-implementing a state-of-the-art system, and achieves better or comparable results to those reported in the literature for the other unsupervised systems. Moreover, it provides an explicit representation of the features characterizing verb-specific semantic roles.Comment: 9 pages, 2 figures, 5 tables, EMNLP, 2017, thematic fit, selectional preference, semantic role, DSMs, Distributional Semantic Models, Vector Space Models, VSMs, cosine, APSyn, similarity, prototyp

Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses

A data warehouse integrates large amounts of extracted and summarized data from multiple sources for direct querying and analysis. While it provides decision makers with easy access to such historical and aggregate data, the real meaning of the data has been ignored. For example, "whether a total sales amount 1,000 items indicates a good or bad sales performance" is still unclear. From the decision makers' point of view, the semantics rather than raw numbers which convey the meaning of the data is very important. In this paper, we explore the use of fuzzy technology to provide this semantics for the summarizations and aggregates developed in data warehousing systems. A three layered data warehouse semantic model, consisting of quantitative (numerical) summarization, qualitative (categorical) summarization, and quantifier summarization, is proposed for capturing and explicating the semantics of warehoused data. Based on the model, several algebraic operators are defined. We also extend the SQL language to allow for flexible queries against such enhanced data warehouses