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41957-01 - Lecture: Advanced Econometrics (3 CP)

Semester fall semester 2025
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.
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. (2010), Econometric Analysis of Cross Section and Panel Data, 2nd Ed., MIT Press.
Weblink Further Information

 

Admission requirements Prerequisites: Completed BA in Business and Economics and knowledge in statistics, particularly the linear regression model.
Course application Registration: Please enroll in the Online Services (services.unibas.ch);

Eucor-Students and mobility students of other Swiss Universities or the FHNW first have to register at the University of Basel BEFORE the start of the course and receive their login data by post (e-mail address of the University of Basel). Processing time up to a week! Detailed information can be found here: https://www.unibas.ch/de/Studium/Mobilitaet.html
After successful registration you can enroll for the course in the Online Services (services.unibas.ch).

Applies to everyone: Enrolment = Registration for the course and the exam!
Language of instruction English
Use of digital media No specific media used
Course auditors welcome

 

Interval Weekday Time Room
wöchentlich Thursday 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium

Dates

Date Time Room
Thursday 18.09.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 25.09.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 02.10.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 09.10.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 16.10.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 23.10.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 30.10.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 06.11.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 13.11.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 20.11.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 27.11.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 04.12.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Thursday 11.12.2025 14.15-16.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Modules 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: Core Courses in Economics (Master's Studies: Business and Economics)
Module: Economic Approaches (Master's Studies: European Global Studies)
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)
Module: Specific Electives in 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)
Assessment format record of achievement
Assessment details written exam: tbd
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

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