High Unemployment in Germany: Why do Foreigners Suffer Most?

In Germany, immigrant unemployment is not only higher than native unemployment; italso reacts more to changes in the situation on the labor market. Decomposing the gapbetween native and immigrant unemployment into a baseline and a labor-marketsituation component, I find that the unemployment rate of immigrants would lie at 5.6 percentagepoints for zero native unemployment (the baseline component of the gap). Anincrease in overall unemployment by 1 percentage point leads to a 0.7 percentage pointshigher increase in immigrant unemployment than in native unemployment (the situationcomponent). The large part of this difference, about 3/4 of the baseline and 4/5 of thesituation component, can be explained by differences in the endowments with classicalhuman capital (educational degrees and experience) between immigrants and natives.Also controlling for country-specific human capital, particularly language skills, thesituation component becomes insignificant and the baseline effect again decreases by1/2. Adding controls for social networks, the baseline effect also becomes insignificant.Thus, human capital and social networks can possibly fully explain the differencebetween native and immigrant unemployment in Germany.Immigration, integration, unemployment, human capital, language skills, discrimination, social networks

What triggers sharing in viral marketing? The role of emotion and social feature

Viral marketing has attracted attention from both academics and practitioners. With the rise of user-generated content (UGC) and broadcasting networks, viral online video advertising campaigns (viral advertising in short) are an emerging trend in viral marketing. Previous literature mainly studied the influence of network structure on viral advertising. Here, we extend such works by decomposing the diffusion network into individual sharing behavior. We based our work on theories of emotion and social networks by proposing a framework that specifies the role of emotion and social feature on individuals’ sharing of online video advertisements in viral marketing campaigns. The framework will be tested using real-world data extracted from online broadcasting networks in the future work

Is there more than one linkage between Social Network and Inequality?

The paper aims to analyse how income inequality affects social networks strength in fourteen European Countries. We introduce some new evidences by using the ECHP for testing the networks-inequality nexus and being able to construct directly inequality indices from the microdata as well their decomposition. In particular, we focus on two main point: firstly, we analyse how total income inequality could be related to social network; secondly, we introduce the "clustered network" definition, by decomposing total income inequality based on the education level. We test the existence of a pluralism linkage between Social Network and Inequality and many results confirm that the linkage is neither unambiguous nor unidirectional. We introduce and stress some important issue. First, we use dierent levels of social network: narrow, wide and anonymous; second, we use different inequality indexes (different sensitiveness to changes at different part of the income distribution); third, the ambiguous linkage could be explained on one hand by the positive role of emulation and reciprocity behaviors and on the other hand by negative ones of the envy, amoral familism and keeping up with the Joneses mechanisms. Finally, we stress the different roles of within and between components of inequality. Our idea is that higher income inequality - related to the changing education premia - could affect social network formation among individuals through two different channels: higher inequality among dierent educated ind ividuals could raise (clustered networks), while higher inequality among similars could halt the social networks.Social Network ; Inequality ; Clustered Network ; Envy ; Emulation

Ethnic conflict and economic disparity: Serbians and Albanians in Kosovo

We use the Living Standards Measurement Study (LSMS) household survey from postconflict Kosovo to examine economic deprivation among Serbs and Albanians. Economic deprivation is measured by per capita household expenditure and by the incidence of poverty as captured by the headcount ratio. We examine the roles played by the stock of attributes and by the impact of these attributes on deprivation using Oaxaca-type decomposition methods. Empirical results for both decomposition analyses show differences in characteristics as well as returns to measured characteristics favor Serbs, even though Serbs have lower expenditures and higher poverty incidence than Albanians

Locating influential nodes via dynamics-sensitive centrality

With great theoretical and practical significance, locating influential nodes of complex networks is a promising issues. In this paper, we propose a dynamics-sensitive (DS) centrality that integrates topological features and dynamical properties. The DS centrality can be directly applied in locating influential spreaders. According to the empirical results on four real networks for both susceptible-infected-recovered (SIR) and susceptible-infected (SI) spreading models, the DS centrality is much more accurate than degree, $k$-shell index and eigenvector centrality.Comment: 6 pages, 1 table and 2 figure