TYPE OF COURSE: Compulsory for Specialization “International economics and finance"
NUMBER OF CREDITS: 6 ECTS credits
EXPECTED LEARNING OUTCOMES
The course aims at familiarizing the students with the application of econometric theory to real economic problems with the use of computers and specialized software. Key elements of econometric theory for each stage of econometric research are also presented. The course aims at training the students to enable them doing their own empirical research as well as for understanding better other existing research.
- Review of econometric theory with applications using econometric software.
- Regression analysis and applications by stage of econometric research. Emphasis on issues frequently presented in econometric research.
- Statistical inference using the three main types of statistical tests (likelihood ratio, Wald, Lagrange multiplier) and the special cases of t and F tests.
- Special models with applications: systems of equations, probit/logit, dynamic models, time series models, panel data.
- Econometric applications on: demand, production, family budgets, small macro models, terms of trade evolution, growth and inequality, sales and advertising, etc using data mainly from the Greek economy.
- Εισαγωγή στην Οικονομετρία: Μια Σύγχρονη Προσέγγιση, Wooldridge, Jeffrey M., εκδόσεις Παπαζήση, 2011
- Εισαγωγή στην Οικονομετρία , Stock and Watson, εκδόσεις Gutenberg
- Introduction to Econometrics, Stock, James H.; Watson, Mark W. 4th edition Pearson, 2019
- Introduction to Econometrics: A Modern Approach, Wooldridge, Jeffrey M., 7th edition, Cengage
- Applied Econometrics with R, Kleiber, C., Zeileis, A., Springer, 2008
- Mastering Metrics: The Path from Cause to Effect, Angrist, J. D. and Pischke, J.-S., Princeton University Press, 2014
- Mostly Harmless Econometrics: An Empiricist’s companion, Angrist, J. D. and Pischke, J.-S., Princeton University Press, 2009
- Econometric Analysis, Greene, William H., 8th edition, Pearson 2018
TEACHING METHODS: Lectures and tutorials at the Computing Lab
ASSESSMENT METHODS: Written assignments
LANGUAGE OF INSTRUCTION: Greek – English terminology