wir889 - Applied Environmental Economics (Complete module description)

wir889 - Applied Environmental Economics (Complete module description)

Original version English PDF download
Module label Applied Environmental Economics
Module code wir889
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Business Administration, Economics and Law (Economics)
Applicability of the module
  • Master Applied Economics and Data Science (Master) > Economics
  • Master's Programme Business Administration, Economics and Law (Master) > Schwerpunktmodule NM-VWL
  • Master's programme Business Administration: Management and Law (Master) > Schwerpunktmodule NM-VWL
  • Master's Programme Environmental Modelling (Master) > Mastermodule
  • Master's Programme Sustainability Economics and Management (Master) > Accentuation Modules
Responsible persons
  • Lehrenden, Die im Modul (authorised to take exams)
  • Huse, Cristian (module responsibility)
  • Huse, Cristian (Module counselling)
Prerequisites
Skills to be acquired in this module

Be able to conceptually understand and apply key empirical tools used by any economist (and other professionals) in Environmental, Energy, and Transport Economics.

Be able to perform and critically evaluate an empirical analysis.
Module contents
Econometric methods (discrete choice); Welfare analysis; Valuation; Types of data; Cost-benefit analysis.
Recommended reading

Phaneuf, D.J., and T. Requate. A Course in Environmental Economics: Theory, Policy, and Practice. Cambridge University Press, 2016.

Cameron, A. C., and P. Trivedi (2005). Microeconometrics: Methods and Applications. Cambridge: Cambridge University Press.
Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency
Module capacity 60
Type of module Pflicht o. Wahlpflicht / compulsory or optional
Module level MM (Mastermodul / Master module)
Teaching/Learning method Lecture
Examination Prüfungszeiten Type of examination
Final exam of module
At the end of the lecture period
Portfolio
Type of course Lecture
SWS 4
Frequency SuSe or WiSe
Workload attendance time 56 h