New time-series analysis tool

Joanna Strycharz, Damian Trilling and Nadine Strauß developed a tutorial for conducting time-series analysis (VAR models) in Python. It is very similar to the way this is done in STATA, but it has several advantages. In particular, it is easier to repeat the analysis for more variables, and the results can be saved together with the code, making research more transparent and better sharable. Also, it can be better integrated in workflows involving automated content analysis and can be used on datasets that are too large to analyze with STATA. The tutorial can be found here: https://github.com/damian0604/bdaca/blob/master/ipynb/timeseries.ipynb