Undemocratic Democracies
I’ve always thought that it was ironic that most countries with the word “Democratic” in their name are exceptionally un-democratic in reality. So I was very interested in the following...continue reading.
I’ve always thought that it was ironic that most countries with the word “Democratic” in their name are exceptionally un-democratic in reality. So I was very interested in the following...continue reading.
Back in January 2013 I wrote a blog post showing how to implement a basic cluster/block bootstrap in R. One drawback of the cluster bootstap is the length of time...continue reading.
I don’t understand why any researcher would choose not to use panel/multilevel methods on panel/hierarchical data. Let’s take the following linear regression as an example: , where is a random...continue reading.
The reason why football is so exciting is uncertainty. The outcome of any match or league is unknown, and you get to watch the action unfold without knowing what’s going...continue reading.
Interesting election results in the UK over the weekend, where the Conservatives romped to victory. This was despite a widespread consensus that neither the Conservative or Labour party would get...continue reading.
If history can tell us anything about the World Cup, it’s that the host nation has an advantage of all other teams. Evidence of this was presented last night as...continue reading.
In April 2012, I wrote this blog post demonstrating an approach proposed in Lewbel (2012) that identifies endogenous regressor coefficients in a linear triangular system. Now I am happy to...continue reading.
In econometrics, generalized method of moments (GMM) is one estimation methodology that can be used to calculate instrumental variable (IV) estimates. Performing this calculation in R, for a linear IV...continue reading.
There are many occasions in my research when I want to create a within group index for a data frame. For example, with demographic data for siblings one might want...continue reading.
Any instrumental variables (IV) estimator relies on two key assumptions in order to identify causal effects: That the excluded instrument or instruments only effect the dependent variable through their effect...continue reading.