In 2017, I pushed the replication material for my article, ‘Welfare Retrenchments and Government Support’, to a GitHub repository. I had been working on the article for years and the code was not necessarily up to date. It worked perfectly, gave the exact estimates and was relatively easy to read. Accordingly, everything was good, life […]
Category: statistics
Potpourri: Statistics #78
1016. Investigation of Data Irregularities in Doing Business 2018 and Doing Business 2020 1017. Dyadic Clustering in International Relations 1018. Forecasting: Principles and Practice 1019. Data Disasters 1020. A Quick How-to on Labelling Bar Graphs in ggplot2 1021. Data visualisation using R, for researchers who don’t use R 1022. Easy access to high-resolution daily climate […]
Causality models: Campbell, Rubin and Pearl
In political science, the predominant way to discuss causality is in relation to experiments and counterfactuals (within the potential outcomes framework). However, we also use concepts such as internal and external validity and sometimes we use arrows to show how different concepts are connected. When I was introduced to causality, it was on a PowerPoint […]
How (not) to study suicide terrorism
Today is the 20 year anniversary for 9/11. That made me look into one of the most salient methodological discussions on how to study suicide terrorism within political science. Suicide terrorism is a difficult topic to study. Why? Because we cannot learn about the causes (or correlates) of suicide terrorism from only studying cases of […]
Happy Danes
I finally got to read The Little Book of Hygge: The Danish Way to Live Well, written by Meik Wiking. It’s actually a fine book and if you are moving to Denmark, I would definitely recommend picking it up (it’s an easy read). There is a lot of things that are good to know about […]