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Applied Statistics and Econometrics

WZ1705Specialization in Management5 ECTSEnglishwinter semesterLehrstuhl für Produktions- und Ressourcenökonomie landwirtschaftlicher Betriebe (Prof. Sauer, Joint Appointment der TUM School of Management und TUM School of Life Sciences)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn fundamental methods of applied econometrics and statistics and how to apply them to real economic data sets. In the end you can describe data, select appropriate models, apply estimation methods, and test and economically interpret results (cross-section, time series, panel).

What you will be able to do

  • Application of fundamental econometric methods
  • Analysis of cross-sectional, time series and panel data
  • Model selection and testing data structures
  • Estimation and economic interpretation of results

What the module consists of

  • VorlesungVermittlung von ökonometrischen Annahmen und Modellen
  • Übung/LabAnwendung der Vorlesungsinhalte auf bereitgestellte Datensätze und Aufgaben

Teaching method

  • VorlesungIntroduction and explanation of the models and assumptions
  • ÜbungenPractical application of the models to datasets and economic questions

Dates

ExerciseApplied Statistics and Econometrics (WZ1705, englisch)

  • Fri11:00–13:001-40, Seminarraum 9 (WZWS09) (4102.01.040)
    15× · 16.10.–05.02.
    • 16.10.
    • 23.10.
    • 30.10.
    • 06.11.
    • 13.11.
    • 20.11.
    • 27.11.
    • 04.12.
    • 11.12.
    • 18.12.
    • 08.01.
    • 15.01.
    • 22.01.
    • 29.01.
    • 05.02.

LectureApplied Statistics and Econometrics (WZ1705, englisch)

  • Fri08:30–10:001-38, Seminarraum 8 (WZWS08) (4102.01.038)
    15× · 16.10.–05.02.
    • 16.10.
    • 23.10.
    • 30.10.
    • 06.11.
    • 13.11.
    • 20.11.
    • 27.11.
    • 04.12.
    • 11.12.
    • 18.12.
    • 08.01.
    • 15.01.
    • 22.01.
    • 29.01.
    • 05.02.

From the current semester, not binding.

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Official page in TUMonline · Details are not binding.