Courses
Econometrics & Data Analytics
Inleiding Bedrijfseconometrie
Audience | VU 2nd year Econometrics Bachelor students |
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Material | Forecasting: principles and practice, Rob J Hyndman and George Athanasopoulos, 2012- and slides. |
Contents | Introduction to forecasting |
Years | 2010-2016 |
Financial Econometrics
Audience | VU 3rd year Econometrics Bachelor students |
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Material | Analysis of Financial Time Series, R. Tsay (2002) |
Contents | GARCH, Extreme value theory, ACD |
Years | 2009-2015 |
Econometrics III
Audience | VU 3rd year Econometrics Bachelor students |
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Material | Slides, articles. |
Contents | VAR, VECM, panel |
Years | 2016-2019 |
Advanced Econometrics 4.1
Audience | VU Econometrics Master students. |
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Material | Econometric Theory and Methods, Davidson & MacKinnon (2004) |
Contents | Chapters 5-9 |
Years | 2010, 2013 |
TI Advanced Econometrics
Audience | TI PhD students |
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Material | Microeconometrics: Methods and Applications, Cameron & Trivedi (2005) |
Contents | Chapters 4-5, 7-8,13-15 |
Years | 2004-2009, 2016-present |
TI Social Media and Data Analytics
Audience | BDS PhD students |
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Material | Selected slides and papers |
Together with | Dr Ines Lindner |
Years | 2020-present |
Skills and methods
Academic Skills
Audience | VU 1st year Econometrics Bachelor students |
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Material | Slides, articles, regression analysis, optimisation problems. |
Contents | Topics on academic writing of text, reports, tables and code |
Years | 2015-2020 |
Colloquium
Audience | VU 1st year Econometrics Bachelor students |
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Material | Slides, articles. |
Contents | Invited lectures, study skills, link of bachelor with research, various |
Years | 2014-2017 |
Integrative Practical
Audience | VU 2nd year Econometrics Bachelor students |
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Material | Slides, articles. |
Contents | Practical exercises, combining knowledge of Econometrics, Operations Research and Mathematical Economics |
Years | 2016-2020 |
Numerical Methods
Audience | VU 2nd year Econometrics Bachelor students |
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Material | Numerical Methods of Statistics, John F. Monahan, 2011, and slides. |
Contents | Elements of numerical programming, covering linear equations, eigenvalues, maximization, random number techniques. |
Years | 2007-2013 |
Statistics
Statistics
Audience | VU first and second year Business Administration students and others |
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Material | Applied Statistics in Business and Economics, Doane & Seward |
Contents | Basic statistics |
Years | 2005-2020 |
Programming
Principles of Programming in Econometrics
Audience | TI MPhil students, VU Master students Econometrics and Operations research or QRM |
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Material | See separate page. |
Contents | Introduction to structured programming concepts, including number theory and maximization, either in |
Advanced Programming in Quantitative Economics
Audience | MPhil and PhD students at Aarhus University |
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Material | See course Principles of Programming in Econometrics |
Contents | Introduction and advanced concepts for structured programming, including number theory, maximization, and efficiency, in Ox. |
Years | 2005-2012 |