Advanced Topics in Applied Economics
- Credits: 3
- Ending: Examination
- Range: 2C
- Semester: winter
- Year: 2
- Faculty of Economics and Finance
Teachers
Included in study programs
Teaching results
Knowledge
Students will gain knowledge about specific areas of applied economics according to selected articles.
Skills
They will gain knowledge of advanced econometric methods and estimators.
They will gain skills for advanced analysis of panel data and the use of instrumental variables.
Competencies
They will be able to replicate advanced empirical analyses from impacted journals and apply skills to their own research in new contexts.
Indicative content
1. – 4. Semiparametric estimators. Generalized method of moments. Instrumental variables. Arellano-Bond estimator.
5. – 12. Applications based on data on articles published in impact factor journals on selected topics, such as democracy and economic growth; redistribution, inequality and growth; international trade and per capita income; automation, employment and productivity; debt and economic growth, etc.
Support literature
Wooldridge, J.M., 2010. Econometric analysis of cross section and panel data. MIT press.
Acemoglu, D., Naidu, S., Restrepo, P. and Robinson, J.A., 2019. Democracy does cause growth. Journal of Political Economy, 127(1), pp.47-100.
Arcand, J.L., Berkes, E. and Panizza, U., 2015. Too much finance?. Journal of Economic Growth, 20(2), pp.105-148.
Berg, A., Ostry, J.D., Tsangarides, C.G. and Yakhshilikov, Y., 2018. Redistribution, inequality, and growth: new evidence. Journal of Economic Growth, 23(3), pp.259-305.
Feyrer, J., 2019. Trade and income—exploiting time series in geography. American Economic Journal: Applied Economics, 11(4), pp.1-35.
Requirements to complete the course
20 % - activity during seminars, tests during seminars
20 % - assignments and semestral work
60 % - final exam
Student workload
Total study load: 78
Out of that: participation in seminars 26, elaboration of assignments and semestral work 26, preparation for the final exam 26
Language whose command is required to complete the course
English
Date of approval: 12.03.2024
Date of the latest change: 04.03.2022