I am an Associate Professor in the Department of Political Science at Duke University. I am also an associate member of Nuffield College, University of Oxford, and of CAGE, University of Warwick. My research interests lie at the boundary of political economy, political behavior, and political sociology.
Who wants What? Preferences for Redistribution in Comparative Perspective (with David Rueda). 2019. Cambridge Studies in Comparative Politics series, Cambridge University Press. [Publisher website] [Amazon]
Peer-review journal articles
The Political Geography of the Eurocrisis [with Pablo Beramendi]. World Politics forthcoming, 2020. [PDF]
Reducing Unequal Representation: The Impact of Labor Unions on Legislative Responsiveness in the US Congress [with Michael Becher]. Perspectives on Politics forthcoming. [link] [preprint]
Local Union Organization and Lawmaking in the U.S. Congress [with Michael Becher]. Journal of Politics 80(2), 2018. [link] [preprint] [bibtex]
Models of Other-Regarding Preferences, Inequality and Redistribution [with Matthew Dimick and David Rueda]. Annual Review of Political Science 21, 2018. [link] [preprint] [bibtex]
The Altruistic Rich? Inequality and Other-Regarding Preferences for Redistribution in the US [with Matthew Dimick and David Rueda]. Quarterly Journal of Political Science 11(4), 2016. [link] [preprint] [bibtex]
The Externalities of Inequality: Fear of Crime and Preferences for Redistribution in Western Europe [with David Rueda]. American Journal of Political Science 60(2), 2016. [link] [preprint] [bibtex]
Religion and Redistributive Voting in Western Europe, Journal of Politics 75(4), 2014. [link] [preprint] [bibtex]
Bayesian hierarchical age-period-cohort models with time-structured effects. An application to religious voting in the US, 1972-2008. Electoral Studies 33, 2014. [link] [preprint] [bibtex]
Modeling changing preferences. A Bayesian robust dynamic latent ordered probit model. Political Analysis 21(3), 2013. [link] [preprint] [bibtex]
Religion and Preferences for Redistribution in Western Europe. Assessing the role of religion. European Sociological Review 28(4), 2012. [link] [preprint] [bibtex]
Apples and Oranges? The Problem of Equivalence in Comparative Research Political Analysis 19(4), 2011. [link] [preprint] [bibtex]
The Individual Level Dynamics of Bounded Partisanship [with A. Neundorf and T. Scotto] Public Opinion Quarterly 75(3), 2011. [link] [preprint] [bibtex]
Comparative experimental evidence on compliance with social distancing during the COVID-19 pandemic [with Michael Becher and Sylvain Brouard]. July 2020. [PDF]
Proportional Representation and Rising Right-Wing Populism in the United Kingdom [with Michael Becher and Irene Menendez]. July 2020.
Global Economic Shocks, Local Institutions, and Political Responsiveness [with Michael Becher] [PDF]
Tax Progressivity and Redistribution [with Matthew Dimick and Pablo Beramendi]. February 2019. [PDF]
Cognitive Ability, Union Membership, and Turnout [with Michael Becher]. January 2019. [PDF]
Demand for Redistribution and Left Parties in Industrialized Democracies: The Influence of Income and Risk on Voting [with David Rueda]. Latest version: August 2018. [PDF]
Rational mobilization of ideological group members in elections. Theory and Evidence [with Michael Becher]. [PDF]
Explaining social policy preferences: The effects of cognitive and noncognitive skills. [PDF]
Latest CV here
Advanced Bayesian Models for the Social Sciences. 4-week online lecture, ICPSR Summer Program. Ann Arbor, August 2020.
POLSCI 690. Models for Hierarchical and Time Series Cross Section Data. Duke, Fall 2019.
POLSCI 745 Political Economy Core. Duke, Spring 2019, 2020. [syllabus]
POLSCI 748 Introduction to Causal Inference. Duke, Fall 2018.
POLSCI 146 Politics and Economics. Duke.
POLSCI 733 Advanced Regression. Duke.
Advanced Bayesian Models. University of Mannheim.
Regression designs and their applications. University of Mannheim.
Quantitative Methods in Political Science. University of Mannheim.
Models for Categorical Data. University of Mannheim.
Introduction to Missing Data. University of Mannheim.
Modeling heterogeneity in cross-sectional and panel data. Essex Summer School.
R for Mac OS X Developer's Page. Simon Urbanek's nightly R builds for OS X; updated versions of gfortran and GTK for OS X
Octave. Matrix algebra package. Runs most Matlab code with minor modifications
Maxima. Fork of MIT's MACSYMA and predecessor of Maple and Mathematica. Less polished than those two, but with nice integration in Emacs. I have written down instructions how to set it up with Aquamacs here