SUUUpoRT course - Applied Econometrics

Competences:

Students acquire the competence to read, understand, and critically evaluate econometric methods, as well as to conduct own models to quantify economic relationships and to test hypotheses.

Content:

The lecture starts with statistical basics: least squares and maximum likelihood regression models and how to test hypotheses. Then, this is enriched by cross sectional analysis, which is be based on micro- and macroeconomic applications. Finally, analysis of time series, associated with macroeconomics, will be considered. Applications use STATA or R (both software packages for econometrics).

Literature:

Baddeley, M. and D. Barrowclough (2009) Running Regressions - A Practical Guide to Quantitative Research in Economics, Finance and Development Studies. Cambridge University Press.
Gelman, A., Hill, J., & Vehtari, A. (2020) Regression and Other Stories (Analytical Methods for Social Research). Cambridge: Cambridge University Press.
Greene (2018) Econometric Analysis, Pearson.
Gujarati, D. (2014) Econometrics by example, 2nd edition, Palgrave MacMillan.
Wooldridge J.M. (2001) Econometric Analysis of Cross Section and Panel Data. MIT Press.
Wooldridge, J.M. (2012) Introductory Econometrics. A Modern Approach, South-Western Cengage Learning.