About

me   

I am an Assistant 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. 

You can reach me at: daniel-stegmueller[at]duke.edu

Publications

Book

Who wants What? Preferences for Redistribution in Comparative Perspective (with David Rueda). Forthcoming, 2019. Cambridge Studies in Comparative Politics series, Cambridge University Press .

Peer-review journal articles

Local Union Organization and Lawmaking in the U.S. Congress [with Michael Becher]. Journal of Politics 80(2), 2018. [paper] [preprint] [bibtex]

Models of Other-Regarding Preferences, Inequality and Redistribution [with Matthew Dimick and David Rueda]. Annual Review of Political Science 21, 2018. [paper] [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. [paper] [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. [paper] [preprint] [bibtex]

Religion and Redistributive Voting in Western Europe, Journal of Politics 75(4), 2014. [paper] [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. [paper] [preprint] [bibtex]

Modeling changing preferences. A Bayesian robust dynamic latent ordered probit model. Political Analysis 21(3), 2013. [paper] [preprint] [bibtex]

Religion and Preferences for Redistribution in Western Europe. Assessing the role of religion. European Sociological Review 28(4), 2012. [paper] [preprint] [bibtex]

Apples and Oranges? The Problem of Equivalence in Comparative Research Political Analysis 19(4), 2011. [paper] [preprint] [bibtex]

The Individual Level Dynamics of Bounded Partisanship [with A. Neundorf and T. Scotto] Public Opinion Quarterly 75(3), 2011. [paper] [preprint] [bibtex]

Work in progress...

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]

Labor unions and unequal representation [with Michael Becher]. January 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]

The Political Geography of the Eurocrisis [with Pablo Beramendi]. Latest version: June 2017. [PDF]

Rational mobilization of ideological group members in elections. Theory and Evidence [with Michael Becher]. [PDF]

Cognitive Ability, Labor Markets, and Social Policy Preferences [with Matthew Dimick]. Latest version: April 2016.

Explaining social policy preferences: The effects of cognitive and noncognitive skills. [PDF]

The Political Economy of Coordination in Industrialized Democracies. A New Look at an Entangled Relationship [with David Rueda].

Curriculum Vitae

Latest CV here

Teaching

Upcoming courses

Advanced Bayesian Models for the Social Sciences. ICPSR Summer Program. Ann Arbor, August 2019.

POLSCI 690. Models for Hierarchical and Time Series Cross Section Data. Duke, Fall 2019.

 

Current Courses

Political Economy Core. Duke, Spring 2019. [syllabus]

 

Past Courses

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.