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916688 |
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Course |
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| Advanced Econometrics - 2018 | ||
Faculty |
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| Ralf A. Wilke, Professor, CBS, Department of Economics | ||
Course Coordinator |
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| Ralf A. Wilke | ||
Prerequisites |
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| Estimation of and Inference for the multiple regression model (OLS, 2SLS, LPM, F-,t-,LR-,Wald-, LM-tests), Maximum Likelihood Estimation, Regression with Binary Dependent Variable, Matrix Algebra, Basic concepts of asymptotic theory (consistency and asymptotic normality). The course is compulsory for the PhD students of Copenhagen Business School’s Department of Economics, but also open to other PhD students who have the equivalent knowledge in econometrics of an M.Sc. in Economics or Econometrics. | ||
Aim |
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After the course, students shall be able to: • demonstrate knowledge of the concepts, models, methods and tools of econometrics as discussed during the course (when to apply what and why) , • read and understand international research papers that develop or employ econometric methods, • perform an econometric analysis including identification of the problem, formulation of the theoretical background, specification of a suitable econometric model, proper estimation of the model , and relevant hypothesis testing and inference, • and to evaluate an empirical study conducted by another person/researcher. |
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Course content |
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Designed for PhD students in Economics and related disciplines who want to deepen their understanding of econometrics and widen their statistical methods repertoire for their thesis and later career. The material is useful for students doing empirical work, research on Econometrics or both. The course covers general econometric methods and methods for cross section data. Topics are illustrated in lectures by empirical examples and sample Stata sample code is made available. Students will be offered the opportunity to deepen their understanding of the material during a number of computer classes. The course is centered around topics which should be of interest to a wider audience, rather than focusing on very specialized topics. An introduction to Stata will be provided. Topics covered by the course include: General Econometrics: • Nonparametric Density and Regression, Semiparametric Regression • Quantile Regression • Resampling techniques Cross Section Econometrics: • Limited Dependent Variable models (Multiple Responses, Continuous Dependent Variables) • Policy Analysis (Regression Based, Matching) • Decomposition Methods (Mean, Distribution) • Duration Models (Single and Competing Risks) A final list of topics will be given during the lectures. |
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Teaching style |
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Lectures and computer-based exercise classes. Students need to bring their own laptop. Software: STATA licenses are available for CBS students. Students from other universities need to have their own license. |
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Lecture plan |
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Learning objectives |
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Exam |
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Extended essay (up to 10 pages) and presentation (20 minutes+ 10 minutes discussion) on a topic related to the course content. The topic is chosen by the student and needs approval by the lecturer. Grading scale: 7-step scale |
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Other |
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Start date |
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| 30/01/2018 | ||
End date |
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| 01/03/2018 | ||
Level |
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| PhD | ||
ECTS |
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| 7.5 ECTS | ||
Language |
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| English | ||
Course Literature |
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| This is indicative:• Lecture Notes• Jeffrey Wooldridge (2010), Econometric Analysis of Cross Section and Panel Data, 2nd edition, MIT Press: Cambridge, Mass.• A.Colin Cameron, Pravon Trivedi (2005), Microeconometrics: Methods and Applications, Cambridge University Press.• Academic journal articles on topics taught in the course. | ||
Fee |
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| DKK 9,750 | ||
Minimum number of participants |
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| 12 | ||
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Maximum number of participants |
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| 12 | ||
Location |
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The course comprises of 42 contact hours which are on 7 days with 6 hours each between 9:00-12:00 and 13:00 and 16:00 Tuesday 30/1/2018, 6/2/2018 Wednesday 31/1/2018, 7/2/2018 Thursday 01/2/2018, 8/2/2018, 1/3/2018 4 hours lecture and 2 hours computer sessions. Location: Copenhagen Business School Department of Economics Porcelænshaven 16 A, Room PH2.80, 2000 Fredriksberg, Denmark |
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Contact information |
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Administration: Bente S. Ramovic bsr.research@cbs.dk Tel: +45 3815 3138 |
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Registration deadline |
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| 08/12/2017 | ||
| Please note that the registration is binding af the registration deadline | ||