Most popular posts – 2013

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1. Omitted Variable Bias Frequently, we see the term ‘control variables’. The researcher introduces dozens of explanatory variables she has no interest in. This is done in order to...
2. Quantile Autoregression in R In the past, I wrote about robust regression. This is an important tool which handles outliers in the data. Roger Koenker is a substantial contributor...
3. Quantify your jogging Numbers are useful (I think we can all agree on that..). If you own a smart phone, you can install this runmeter app. When you...
4. The Importance of being inauthentic Presenting properly is important. Here is how I think it should look like,...
5. Information Criteria for Autoregression Some knowledge about the bootstrapping procedure is assumed. In time series analysis, Information Criteria can be found under every green tree. These are function to...