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Semester | fall semester 2022 |
Course frequency | Every fall sem. |
Lecturers | Kurt Schmidheiny (kurt.schmidheiny@unibas.ch, Assessor) |
Content | 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 |
Learning objectives | 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 (Microeconometrics I and II, Time Series Analysis I and II). |
Bibliography | - 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. (2002), Econometric Analysis of Cross Section and Panel Data, MIT Press. |
Weblink | Further Information |
Course application | 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! |
Language of instruction | English |
Use of digital media | No specific media used |
Course auditors welcome |
Interval | Weekday | Time | Room |
---|---|---|---|
wöchentlich | Wednesday | 14.30-16.00 | Wirtschaftswissenschaftliche Fakultät, Seminarraum S14 HG.32 |
Modules |
Modul: Core Courses in Economics (Master's Studies: Business and Economics) Modul: Specific Electives in Economics (Master's Studies: Business and Economics) Module: Core Competences in Economics (Master's Studies: Sustainable Development) Module: Core Courses in Data Science and Computational Economics (Master's Studies: Business and Economics) Module: Field Electives in Economics and Public Policy (Master's Studies: Economics and Public Policy) Module: Specific Electives in Business and Economics (Master's Studies: Business and Economics) Module: Specific Electives in Data Science and Computational Economics (Master's Studies: Business and Economics) Specialization Module: Areas of Specialization in International and/or Monetary Economics (Master's Studies: International and Monetary Economics) Specialization Module: Quantitative Methods (Master's Studies: Business and Economics (Start of studies before 01.08.2021)) |
Assessment format | record of achievement |
Assessment details | written exam: 24.01.23; 12:15-13:45. WWZ Auditorium: A-Z. For this exam you will still receive additional information by email. You would have to be on site at least 30 minutes before the exam starts. The addresses of the examination rooms can be found here: https://wwz.unibas.ch/de/studium/pruefungen/vorlesungs-und-pruefungsraeume/ |
Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
Repeat examination | no repeat examination |
Scale | 1-6 0,1 |
Repeated registration | as often as necessary |
Responsible faculty | Faculty of Business and Economics , studiendekanat-wwz@unibas.ch |
Offered by | Faculty of Business and Economics |