This lecture covers the modeling of panel data. These are datasets where variables for a number of individuals (typically persons, regions, countries) are observed over a number of time points (often years, quarters or panel waves). Such data sets offer advantages in the modeling of real processes compared to cross-sectional data (where observations only occur at one time point) or time series data also called longitudinal data (where observations for only one individual occur).
We start with the most often used static linear models for continuous dependent variables. This is subsequently extended to nonlinear models for categorical dependent variables. We also discuss time series models in the panel context. If time permits this will also include non-stationary time series models.
The lecture assumes that students are familiar with the main concepts of statistical and econometric modeling such as least squares estimation and the maximum likelihood paradigm. Also the generalized method of moments is used in the lecture. All concepts are properly introduced.
The lecture mostly follows the classic book by Badi Baltagi: Econometric Analysis of Panel Data, John Wiley and Sons, 2005 (third edition).
The information is conveyed online via videos in Panopto supplemented with slides and R-scripts (where appropriate). Additionally bi-weekly Q&A sessions aid the understanding of the material.
The course is taught in the language of science, broken English.
Details on the examination depend on the study programs.
Badi Baltagi: Econometric Analysis of Panel Data, John Wiley and Sons, 2005 (third edition).
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
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31-M-ASM1 Advanced Statistical Methods I | Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (I.) | Student information | |
Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (II.) | Student information | ||
31-M-ASM2 Advanced Statistical Methods II | Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (I.) | Graded examination
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Student information |
Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (II.) | Graded examination
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Student information | |
31-M-El1 Elective Courses 1 | Gewählte Veranstaltungen aus dem Bereich "Spezialkenntnisse in ökonomischer Theorie und/oder quantitativen Methoden" 4 LP | Student information | |
31-M-El2 Elective Courses 2 | Gewählte Veranstaltung aus dem Bereich quantitativen Methoden 4 LP | Student information | |
31-M-El3 Elective Courses 3 | Gewählte Veranstaltungen aus dem Bereich ökonomischer Theorie 4 LP | Student information | |
31-MM15 Empirische Wirtschaftsforschung und Quantitative Methoden | Veranstaltungen aus dem Bereich "Angewandte Ökonometrie" (bspw. Methoden der Ökonometrie, etc.) oder aus dem Bereich "Angewandte Statistik" (bspw. GLM, MVV, etc.) oder aus dem Bereich "DV-Technik" (bspw. A&D, Simulationstechniken, etc.) | Student information | |
31-MM15-WiMa Empirische Wirtschaftsforschung und Quantitative Methoden | Veranstaltungen aus dem Bereich "Angewandte Ökonometrie" (bspw. Methoden der Ökonometrie etc.) oder aus dem Bereich "Angewandte Statistik" (bspw. GLM, MVV etc.) oder aus dem Bereich "DV-Technik" (bspw. A&D, Simulationstechniken etc.) | Student information | |
31-SW-AKStat Ausgewählte Kapitel der Statistik | Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | Graded examination
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Student information |
Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | Graded examination
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Student information | |
Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | Graded examination
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Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
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Economics and Management (BiGSEM) / Promotion | Economics; Field Courses | ||||||
Studieren ab 50 |
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there: