Multilevel models in R and Stata

The aim of this workshop is to provide an introduction (both theoretical and practical) to multi-level modelling. We will cover the basic theory underlying multi-level analysis and the the estimation of hierarchical models using both frequentist (restricted maximum likelihood) and Bayesian (Markov chain Monte Carlo) inferential methods. We will review examples of application of multi-level models in the social sciences, and use R and Stata – as well as WinBUGS/JAGS - to fit the models discussed in the examples.

Instructor:

Gabriel Katz Wisel is a Senior Lecturer in Politics at the University of Exeter. His work focuses on Comparative Politics, Political Economy and Research Methods. In particular, his research uses advanced quantitative methods – mainly Bayesian statistics, but also causal inference and experimental techniques – to address substantive questions in comparative politics, political behaviour and political economy. His work has been published in leading economics and political science journals, such as the American Journal of Political Science, Comparative Political Studies, the Economic Journal, the Journal of Law, Economics & Organization, the Journal of Economic Behavior and Organization, and Political Behavior, among other outlets.

Gabriel earned his Ph.D. from the California Institute of Technology (Caltech) in June 2010. He also holds an MSc. from Caltech and a Licenciatura in Economics from the Universidad de la Republica, in Uruguay.

Read more: https://socialsciences.exeter.ac.uk/politics/staff/katz/