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Module (6 Credits)

Applied Panel Time Series Analysis in International Economics


Name in diploma supplement
Applied Panel Time Series Analysis in International Economics
Responsible
Prof. Dr. Volker Clausen
Admission criteria
See exam regulations.
Workload
180 hours of student workload, in detail:
  • Attendance: 60 hours
  • Preparation, follow up: 60 hours
  • Exam preparation: 60 hours
Duration
The module takes 1 semester(s).
Qualification Targets

The students

  • can identify empirical problems in the literature of international economics and narrow those down to specific research questions
  • can apply adequate econometric methods to answer these questions
  • can present, interpret, and discuss their results in the context of the literature
  • can discuss and collaboratively solve their own and other students' subject-specific issues in plenary sessions
  • are prepared for the requirements of an empirical Master's thesis
Relevance

The practical relevance of the module is high in view of the key importance of empirical work in international economics and elsewhere.

Module Exam

The module-related examination consists of (i) a term paper (typically 15 pages, 65% of the grade), (ii) an accompanying presentation (typically 20 minutes, 35% of the grade).

Usage in different degree programs
  • BWL EaF MasterWahlpflichtbereich 1.-3. Sem, Elective
  • ECMX MasterWahlpflichtbereichME6 Applied Econometrics 1.-3. Sem, Elective
  • VWL MasterWahlpflichtbereich I 1.-3. Sem, Elective
Elements

Name in diploma supplement
Applied Panel Time Series Analysis in International Economics
Organisational Unit
Lehrstuhl für VWL, insb. Internationale Wirtschaftsbeziehungen
Lecturers
Dr. Lennart Empting
SPW
4
Language
English
Cycle
irregular
Explanation for irregular cycle
Die Veranstaltung wird einmalig im Sommersemester 2025 angeboten.
Participants at most
no limit
Participants

Preliminary knowledge

A solid understanding of econometric methods as taught in the courses “Methoden der Ökonometrie” and/or “Zeitreihenanalyse”. First experience with R.

Abstract

This course focusses on panel time series methods and their practical application to address empirical questions in international economics. By considering time series data from multiple economies jointly, these methods can improve estimation performance and further provide insights into the interdependencies between economies.

Contents

  • Literature review of (1) econometric studies in international economics and (2) relevant methods in econometrics
  • Data research and preparation, application of econometric methods and presentation of results using R
  • The preparation of a term paper and a presentation as well as the discussion of their results

Literature

  • Baltagi (2015) The Oxford Handbook of Panel Data, Oxford University Press.
  • Empting (2025) The pvars R-package: VAR Modeling for Heterogeneous Panels.
  • Hsiao (2022) Analysis of Panel Data, Cambridge University Press.

Further literature will be announced during the course.

Teaching concept

Classes are organized as lectures. The discussions are complemented by problem sets, illustrations in R, and collaborative interactive programming sessions to support students' understanding of the statistical concepts and their empirical application.

Die Veranstaltung entspricht einem Vorlesungsanteil von 2 SWS und einem Seminaranteil von 2 SWS.

Lecture with integrated Seminar: Applied Panel Time Series Analysis in International Economics (WIWI‑C1271)
Module: Applied Panel Time Series Analysis in International Economics (WIWI‑M0968)