The goal of this MOOC is to show that econometric methods are often needed to answer questions. A question comes first, then data are to be collected, and then finally the model or method comes in. Depending on the data, however, it can happen that methods need to be adapted. For example, where we first look at two variables, later we may need to look at three or more. Or, when data are missing, what then do we do? And, if the data are counts, like the number of newspaper articles citing someone, then matters may change too. But these modifications always come last, and are considered only when relevant.
Erasmus University: a top-100 ranked international research university based in Rotterdam, the Netherlands. Our academic teaching and research focuses on four areas: health, wealth, culture and governance.
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
This was a good, broad introduction to econometrics. It is simply an exploratory course and will not provide any in depth instruction which would be reserved for a more rigorous econometrics course.
Short and good intro with examples to build intuition around the econometrics concepts. Suggest to take this first before moving on to longer courses.