wir888 - Applied Econometrics Using GIS Techniques (Complete module description)

Module label	Applied Econometrics Using GIS Techniques
Modulkürzel	wir888
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 some fundamental geo-processing operations using ArcGIS that are most relevant for economics research. The broad term GIS encompasses a set of tools (both software and hardware) to collect, store, visualize and analyze spatial data from the real world. GIS techniques allow economists to use data on geography and weather as sources of exogenous variation for estimating the causal impact of a wide range of treatments (e.g., infrastructure, mass media, slave trade, land suitability for agriculture, and terrain ruggedness). Satellite images from the earth's surface, which can be analyzed with geo-processing tools in GIS, allow economists to construct geo-spatial indicators (e.g., temporal changes in the intensity of night-time light and patterns of deforestation) that more closely reflect the local actors and underlying mechanisms of interest.
Module contents	Gain practical experience with the implementation of geo-processing tools using ArcGIS. Application of GIS programming tools that are most relevant for economics research through replication of various pieces of empirical economics research papers. A non-exhaustive list of geo-processing tools using ArcGIS includes performing mathematical functions on spatial data, the calculation of geographic distances between various forms of spatial units, aggregating geospatial data within polygons, and drawing maps. Introduction to map projection and geographic coordinate systems. Introduction to programming in Python for the purpose of automation and replication of geo-processed spatial datasets. Acquire the necessary data management skills to export spatial data in a suitable file format that can be directly imported into standard econometric software packages such as Stata.
Literaturempfehlungen	Harder, Christian, and Brown, Clint (2016). The ArcGIS Imagery Book: New View. New Vision. First Edition, Esri Press, 380 New York Street, Redlands, California, United States of America. Harder, Christian, and Brown, Clint (2017). The ArcGIS Book: 10 Big Ideas about Applying The Science of Where. Second Edition, Esri Press, 380 New York Street, Redlands, California, United States of America. Heywood, Ian, Cornelius, Sarah, and Carver, Steve (2011). An Introduction to Geographical Information Systems. Fourth Edition, Pearson Education Limited, Harlow, England. Keranan, Kathryn, and Malone, Lyn (2017). Instructional Guide for The ArcGIS Imagery Book. First Edition, Esri Press, 380 New York Street, Redlands, California, United States of America. Keranan, Kathryn, and Malone, Lyn (2018). Instructional Guide for The ArcGIS Book. Second Edition, Esri Press, 380 New York Street, Redlands, California, United States of America. Law, Michael, and Collins, Amy (2018). Getting to Know ArcGIS Desktop. Fifth Edition, Esri Press, 380 New York Street, Redlands, California, United States of America. Zandbergen, Paul A. (2013). Python Scripting for ArcGIS. First Edition, Esri Press, 380 New York Street, Redlands, California, United States of America.
Links
Languages of instruction	German, English
Duration (semesters)	1 Semester
Module frequency
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