Photo of Dr Gabriel Katz

Dr Gabriel Katz

Research Interests

My research uses advanced quantitative methods - mainly Bayesian statistics, but also causal inference and experimental techniques - to address substantive questions in political behaviour, political economy and Latin American politics.

My work has been published in the American Journal of Political Science, Comparative Political Studies, the Economic Journal, the Journal of Law, Economics & OrganizationPolitical Behavior, and Political Science Research and Methods, among other journals.

Research Projects:

  • British Academy: “Using Machine Learning Methods to Correct for Survey Misreports in Cross-National Surveys”, 2016-2017 (PI).
  • ESRC: “Measuring Information Exposure in Dynamic and Dependent Networks (ExpoNet)”, 2015-2018 (Co-I).
  • ESRC: “Media in Context and The 2015 General Election: How Traditional and Social Media Shape Elections and Governing”, 2015-2017 (Co-I).
  • British Academy: “Public Service Corporations: estimating the link between public scrutiny and share prices”, 2015-2016 (Co-PI).
  • Humanities and Social Sciences Project Development Fund, University of Exeter: “The promise of non-probability samples: improving measurement and inference in cross-national survey research”, 2014-2015 (PI).
  • Marie Curie Training Network, European Commission: "VOTEADVICE", 2014-2018 (Co-I).