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Semester | Herbstsemester 2023 |
Angebotsmuster | Jedes Herbstsemester |
Dozierende | Kurt Schmidheiny (kurt.schmidheiny@unibas.ch, BeurteilerIn) |
Inhalt | 1. Elements of matrix algebra: basic operations, trace, rank, inverse, eigenvalue and spectral decomposition 2. Elements of probability theory: random variables, joint, conditional and marginal distribution, expected value and other moments, change of variables 3. Elements of statistics: point estimation, interval estimation, hypothesis testing, large sample theory 4. The algebra of the multivariate linear regression: degrees of freedom, Gauss-Markov theorem, Frisch-Waugh-Lovell theorem 5. The algebra of instrumental variable estimation 6. The algebra of basic panel data methods: within and between transformation, testing for unrelated effects under non-spherical disturbances 7. Maximum Likelihood Estimation 8. Binary choice as an example of deriving estimators and their properties using maximum likelihood |
Lernziele | This course is a supplement to the course “Econometrics” (12036) for ambitious students. The course follows the topics of Econometrics every week providing formal proofs and additional results using matrix algebra and asymptotic theory. The course is the basis for the more advanced MSc courses in econometrics. |
Literatur | - Amemiya, Takeshi (1994), Introduction to Statistics and Econometrics, Harvard University Press. - Cameron, A. Colin and Pravin K. Trivedi (2005), Microeconometrics: Methods and Applications, Cambridge University Press. - Davidson, Russell and James G. MacKinnon (2004), Econometric Theory and Methods, Oxford University Press. - Hayashi, Fumio (2000), Econometrics, Princeton University Press. - Wooldridge, Jeffrey M. (2010), Econometric Analysis of Cross Section and Panel Data, 2nd Ed., MIT Press. |
Weblink | Further Information |
Anmeldung zur Lehrveranstaltung | Registration: Please enrol in the Online Services before the course starts. EUCOR-Students and students of other Swiss Universities have to enrol at the students administration office (studseksupport1@unibas.ch) within the official enrolment period. In order to get access to ADAM in time, it is best to enrol before the course starts though. Enrolment = Registration for the exam! |
Unterrichtssprache | Englisch |
Einsatz digitaler Medien | kein spezifischer Einsatz |
HörerInnen willkommen |
Intervall | wöchentlich |
Datum | 21.09.2023 – 07.12.2023 |
Zeit |
Donnerstag, 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S13 HG.35 |
Module |
Modul: Core Courses in Data Science and Computational Economics (Masterstudium: Wirtschaftswissenschaften) Modul: Core Courses in Economics (Masterstudium: Wirtschaftswissenschaften) Modul: Field Electives in Economics and Public Policy (Masterstudium: Economics and Public Policy) Modul: Kernbereich Wirtschaftswissenschaften (Masterstudium: Sustainable Development) Modul: Specific Electives in Business and Economics (Masterstudium: Wirtschaftswissenschaften) Modul: Specific Electives in Data Science and Computational Economics (Masterstudium: Wirtschaftswissenschaften) Modul: Specific Electives in Economics (Masterstudium: Wirtschaftswissenschaften) Spezialisierungsmodul: Areas of Specialization in International and/or Monetary Economics (Masterstudium: International and Monetary Economics) |
Leistungsüberprüfung | Leistungsnachweis |
Hinweise zur Leistungsüberprüfung | written exam: Date tbd |
An-/Abmeldung zur Leistungsüberprüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
Wiederholungsprüfung | keine Wiederholungsprüfung |
Skala | 1-6 0,1 |
Wiederholtes Belegen | beliebig wiederholbar |
Zuständige Fakultät | Wirtschaftswissenschaftliche Fakultät / WWZ, studiendekanat-wwz@unibas.ch |
Anbietende Organisationseinheit | Wirtschaftswissenschaftliche Fakultät / WWZ |