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Name des Moduls [310720] Productivity and Efficiency Measurement Bezeichnung des Moduls MW20.2

Studiengang [184] - Wirtschaftswissenschaften ECTS Punkte 6

Arbeitsaufwand für Selbststudium 120 Häufigkeit des Angebotes (Modulturnus) jedes 2. Semester (ab Wintersemester)
Arbeitsaufwand in Präsenzstunden 60 Dauer des Moduls 1
Arbeitsaufwand Summe (Workload) 180    

Modul-Verantwortliche/r

Prof. Dr. Uwe Cantner

Voraussetzung für die Vergabe von Leistungspunkten (Prüfungsform)

Final exam (ca. 60 %), presentation or take-homes or mid term exams (ca. 40 %). The decision on the chosen form of examination is made at the beginning of the course in consultation with the students, considering the organizational framework conditions. The exact weighting of the individual assessments will be announced at the beginning of the course. Both parts need to be passed individually and the final grade is the weighted sum of individual grades. If students need to repeat the exam, a passed part need not to be retaken.

Unterrichtssprache

English

Empfohlene bzw. erwartete Vorkenntnisse

Basic knowledge in production theory

Art des Moduls (Pflicht-, Wahlpflicht- oder Wahlmodul)

684 M.Sc. Economics, 276 M.Sc. Wirtschaftsmathematik: Wahlpflichtmodul

Zusammensetzung des Moduls / Lehrformen (V, Ü, S, Praktikum, …)

Lecture (2h per week), Exercise (2h per week)

Inhalte

The module deals with the methodological foundations and the application of various methods of productivity and efficiency measurement. Based on their production theoretic foundations index numbers, stochastic frontier analysis and data envelopment analysis are covered. Productivity differences are decomposed into several components such as pure technical efficiency, scale efficiency and allocative efficiency. Productivity decomposition formulae and the Malmquist index to analyze the sources of productivity change are also explained. All methods are applied to real data problems using freely available software packages.

Lern- und Qualifikationsziele

Students have a sound understanding of production theory and the measurement of productivity and efficiency. They have a good command of the formal and empirical tools to apply these methods to real data and are able to interpret the results.

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