wir897 - Spatial Econometrics (Complete module description)

Module label	Spatial Econometrics
Modulkürzel	wir897
Credit points	6.0 KP
Workload	180 h
Institute directory	Department of Business Administration, Economics and Law (Business Administration and Business Education)
Verwendbarkeit des Moduls	Master Applied Economics and Data Science (Master) > Empirical Methods
Zuständige Personen	Gören, Erkan (module responsibility) Lehrenden, Die im Modul (Prüfungsberechtigt)
Prerequisites	None
Skills to be acquired in this module	This course provides an introduction to spatial econometrics modelling that are particularly appropriate to analyse real-world phenomenons of spatial dependence among geographically proximate units. With successful completion of the course, students shall be able to identify spatial diffusion processes across various empirical settings and to have a thorough understanding in the application, estimation, and interpretation of the relevant spatial regression models.
Module contents	The formal expression of spatial dependence. Modelling, estimation, and interpretation of spatial econometric models for cross-sectional, panel, and dynamic spatial panel data. Gain practical experience with the implementation of spatial econometric models using appropriate econometrics software packages.
Literaturempfehlungen	Anselin, Luc (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers, Dordrecht, Boston, London. Darmofal, David (2015). Spatial Analysis for the Social Sciences. Cambridge University Press, New York, USA. Elhorst, J. Paul (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer, Heidelberg, New York, Dordrecht, London. LeSage, James, and Pace, R. Kelley (2009). Introduction to Spatial Econometrics. CRC Press, Taylor & Francis Group, Boca Raton, London, New York.
Links
Language of instruction	English
Duration (semesters)	1 Semester
Module frequency	jährlich
Module capacity	unlimited

Lehrveranstaltungsform	SWS	Frequency	Workload of compulsory attendance
Lecture	2	SoSe oder WiSe	28
Seminar	2	SoSe oder WiSe	28
Präsenzzeit Modul insgesamt			56 h

Examination	Prüfungszeiten	Type of examination
Final exam of module	Am Ende der Vorlesungszeit	Mündliche Prüfung oder Klausur oder Referat oder Projektbericht