Econometric modeling from classical and spatial perspective 2400-EN3SL320A
The seminar aims to orient students to independent research, either in a spatial/regional or classical context.
The seminar scope includes econometrics in a broad sense, in classical as well as in spatial terms. Students may deal with, for example, modelling of regional phenomena, estimate spatial models of the location of companies/real estate, as well as conduct a-spatial econometric study on cross-sectional/panel data (e.g. housing prices, expenditures, etc.).
Theses must use quantitative methods (statistics, classical/spatial econometrics).
The seminar DOES NOT include macroeconomics, finance (excluding time series analysis with ARMA, ECM etc.), international trade and research that involves the collection of data by surveys.
Type of course
Course coordinators
Learning outcomes
Upon completion of the seminar, the student:
- can independently collect and analyse data for the study;
- is able to select the literature for her/his own study;
- is able to explain the significance of the economic problem she/he is investigating;
- is able to conduct a quantitative study;
- is able to make conclusions based on the research' results and (if needed) propose
K_W01, K_W02, K_W03, K_U01, K_U02, K_U03, K_K01, K_K02
Assessment criteria
Winter semester:
Credit based on presentation of the thesis topic and research question of the thesis, preliminary data analysis, presentation of the thesis' draft with an outline of the content of all chapters, literature review
Summer semester:
Credit on the basis of the finished thesis
Bibliography
Mandatory:
- Wooldridge, Introductory Econometrics. A Modern Approach, 5th edition
- Kopczewska, K. (2020). Applied spatial statistics and econometrics: data analysis in R. Routledge.
Additional:
- Franses, P. H. (2018). Enjoyable econometrics. Cambridge University Press.
- Arbia, G., Espa, G., & Giuliani, D. (2021). Spatial microeconometrics. Routledge.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: