Projects

Bar chart showing logistic regression models achieved up to 73% explanatory power (R²) in predicting Trump support in 2020 election

Economic Perceptions and Immigration Attitudes: Electoral Outcomes 2016-2020

Quantitative analysis using logistic regression on American National Election Studies (ANES) data covering 6,173 voter responses across 2016 and 2020 presidential elections. Models achieved McFadden's R² of 0.73, revealing an 11.62-point coefficient reversal in how economic perceptions affected Trump support, while immigration attitudes intensified 44% as a stable predictor (all p<.001).

Bar chart showing EU multilateral sanctions achieved 2.93 times larger economic impact than US unilateral sanctions on Russia

Multilateral Sanctions Effectiveness

Quantitative analysis using difference-in-differences estimation on 180 monthly trade observations (2020-2024) and 1,764 daily financial indicators to measure the comparative effectiveness of EU multilateral versus US unilateral sanctions on Russia. EU sanctions produced 2.93x larger impact (β=-5.5, p<0.001) compared to US sanctions (β=-1.9, p=0.033), demonstrating measurable coordination advantages while revealing 66% circumvention through third-party trade diversion.

Renewable Energy Program

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Rainforest Action Initiative