Microeconometrics
- Credits: 10
- Ending: Examination
- Range: 16sP
- Semester: winter
- Faculty of Economic Informatics
Teachers
Included in study programs
Teaching results
Upon successful completion of this course, students will have knowledge of scientific methods of microeconometric approach to the analysis and modelling of economic phenomena and processes and should be able to use econometric techniques and procedures for different types of data.
Students will acquire practical skills and competencies with the application of microeconometric methods in the analysis of economic problems at the scientific level.
Indicative content
The course is aimed at:
- explaining the principles of quantification of economic processes using econometric models and methods;
- creating and verifying various types of economic hypotheses;
- mathematical justification of parameter estimation methods such as generalized least squares method, maximum likelihood method, generalized method of moments in specific cases;
- presentation and possibilities their applications for different types of economic data
1. Causal and Noncausal Models
2. Linear panel models, Dynamic panel models
3. Models of nonlinear effects, Panel models of binary selection
4. Models of arranged options, Computable data models
5. Stratified and Clustered Samples, Bootstrap Methods
6. Transition Data: Survival Analysis
7. Models of Multiple Hazards
8. Stratified and Clustered Samples, Treatment Evaluation
Support literature
1. Cameron, A.C., Trivedi, P.K.: Microeconometrics: Methods and Applications, Cambridge University Press, 2005
2. Wooldridge, J.: Econometric Analysis of Cross Section and Panel Data, MIT Press, 2010
3. Greene, W.H., Hensher, D.: Modeling Ordered Choices, Cambridge University Press, 2010
4. Pesaran, M.H.: Time Series and Panel Data Econometrics. Oxford University Press, 2015
5. Szomolányi, K., Lukáčik, M., Lukáčiková, A.: Estimation of Asymmetric Responses of U.S. Retail Fuel Prices to Changes in Input Prices based on a Linear Exponential Adjustment Cost Approach. Central European Journal of Operations Research, 2021. doi.org/10.1007/s10100-021-00783-0
6. Szomolányi, K., Lukáčik, M., Lukáčiková, A.: Asymmetric Retail Gasoline and Diesel Price Reactions in Slovak Market. Ekonomický časopis, roč. 68, č. 2, 2020, s. 115-133
Requirements to complete the course
projects and presentations 40%, final paper 60%
Student workload
student workload: 260 h, participation in lectures 16 h, elaboration of projects and presentations 88 h, elaboration of a final paper 156 h
Language whose command is required to complete the course
Slovak, English
Date of approval: 10.02.2023
Date of the latest change: 16.05.2022