Browsing articles from "February, 2013"

Complete Pro-Government Militias Database (PGMD) released

Feb 21, 2013   //   by admindela   //   General  //  Comments Off on Complete Pro-Government Militias Database (PGMD) released

After having worked for over six years on the Pro-Government Militias Database (PGMD), a joint project of Sabine Carey and Neil Mitchell (University College London), version 1.0 of this database has been completed. Additional information about the Pro-Government Militias Project is available online at the Pro-Government Militias Project website.

The PGMD is described in the forthcoming article: Carey, Sabine C., Neil J. Mitchell and Will Lowe. 2013. ‘States, the Security Sector, and the Monopoly of Violence: A New Database on Pro-Government Militias’. Journal of Peace Research 50(2).

Summer course on advanced quantitative methods and research design in Uppsala

Feb 12, 2013   //   by admindela   //   General  //  Comments Off on Summer course on advanced quantitative methods and research design in Uppsala

The Department of Peace and Conflict Research, Uppsala University, offers a summer course on “Advanced quantitative methods and research design”, 1-12 July 2013.

 

This is an intensive two week course that will cover a wide range of advanced topics in quantitative
methodology and research design. The recurrent theme will be the challenge of drawing reliable
causal inferences from quantitative data. The course will involve morning lectures, afternoon sections
with the TA, daily homework, and a nal exam. The topics covered will include: model-based
and design-based inference, Bayesian inference, the potential outcomes framework, permutation inference,
the likelihood theory of inference, MLE, and in particular Logistic regression, design-based
methods such as natural experiments, instrumental variables, and regression discontinuity designs,
conditioning strategies and causal graphs, matching, tests of design, and time-series cross-sectional
data. The course will emphasize good practices in carrying out quantitative analysis, the use of
simulation methods to understand estimators and to estimate quantities of interest, and graphical
analysis and presentation. The broader aim of the course is to provide students with the statistical
background necessary to critically read and conduct quantitative research. The course assumes
that students have familiarity with the linear regression model, basic probability theory, and matrix
algebra, such as through a rst graduate course in statistics. Students will learn to use R.