After I handed in my first (public) thesis I recognized one thing: Textbooks make you stupid. Of course, they are necessary, but once you got the (basic) idea of a chapter, try to find something that challenges you and that provides you with an insight in what is practically going on in the field. And this is the purpose of this section. So, I hope there is an interesting title in the list below which helps you to gain more knowledge about statistical methods in economics and to improve your R skills.
- Sheperd, B. (2013). The Gravity Model of International Trade: A User Guide. ARTNeT Gravity Modeling Initiative.
- Cincera, M. (1997). Patents, R&D, and technological spillovers at the firm level: Some evidence from econometric count models for panel data. Journal of Applied Econometrics, 12, 265-280.
For further information on why reproduction (you are working with a given data set) resp. replication (you work with a data set you have created by yourself) can be useful, you might want to visit
- the blog by Nicole Janz from the University of Cambridge;
- the Coursera course on “Reproducible Research“,
- a quick guide to methods inplemented in RStudio that foster the reproducability of your work.