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This was a rewarding econometrics subject. The lecturer, David, although he does speak very softly, he was approachable and easy-going. As this was a pilot unit of study, the topics were determined throughout the semester, but they were well chosen: probability, time series regression (trends, seasonality, autoregression, serial correlation, unit roots and cointegration) and limited dependent variable regression (LPM, probit and logit models, maximum likelihood and Tobit model). A little bit daunting at first, but once you sit down and understand it, I could see how topics were interrelated with each other. In tutorials, we had a good mix of theoretical and calculation questions, as well as computer work on R. There are also three homework assignments to hand in during a lecture; very good on demonstrating what I had learned. All in all, much better than ECMT2150, for sure.