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HOLLENBACH, FLORIAN M (2) answer(s).
 
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ID:   116463


Ensemble predictions of the 2012 US presidential election / Montgomery, Jacob M; Hollenbach, Florian M; Ward, Michael D   Journal Article
Ward, Michael D Journal Article
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Publication 2012.
Summary/Abstract For more than two decades, political scientists have created statistical models aimed at generating out-of-sample predictions of presidential elections. In 2004 and 2008, PS: Political Science and Politics published symposia of the various forecasting models prior to Election Day. This exercise serves to validate models based on accuracy by garnering additional support for those that most accurately foretell the ultimate election outcome. Implicitly, these symposia assert that accurate models best capture the essential contexts and determinants of elections. In part, therefore, this exercise aims to develop the "best" model of the underlying data generating process. Scholars comparatively evaluate their models by setting their predictions against electoral results while also giving some attention to the models' inherent plausibility, parsimony, and beauty.
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2
ID:   121118


Technology and collective action: the effect of Cell Phone coverage on political violence in Africa / Pierskalla, Jan H; Hollenbach, Florian M   Journal Article
Hollenbach, Florian M Journal Article
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Publication 2013.
Summary/Abstract The spread of cell phone technology across Africa has transforming effects on the economic and political sphere of the continent. In this paper, we investigate the impact of cell phone technology on violent collective action. We contend that the availability of cell phones as a communication technology allows political groups to overcome collective action problems more easily and improve in-group cooperation, and coordination. Utilizing novel, spatially disaggregated data on cell phone coverage and the location of organized violent events in Africa, we are able to show that the availability of cell phone coverage significantly and substantially increases the probability of violent conflict. Our findings hold across numerous different model specifications and robustness checks, including cross-sectional models, instrumental variable techniques, and panel data methods.
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