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12036-01 - Lecture: Econometrics 6 CP

Semester fall semester 2024
Course frequency Every fall sem.
Lecturers Andrea Ghisletta (andrea.ghisletta@unibas.ch)
Kurt Schmidheiny (kurt.schmidheiny@unibas.ch, Assessor)
Content Outline:
1. Causal effects and the logic of randomized experiments
2. Linear regression: Estimation, small and large sample properties, hypothesis testing, omitted variable bias, model selection, functional form, heteroscedasticity, autocorrelation, clustering
3. Instrumental variable estimation: Estimation, identification, weak instruments
4. Panel data: fixed effects, random effects
5. Maximum likelihood estimation
6. Binary choice: probit and logit
Learning objectives This course provides students with the basic econometric tools for cross-section and panel data. It is an applied course preparing students to both conduct own empirical research projects and assess empirical research papers. Each of the discussed tools will be implemented using standard statistical software (Stata or R) and real world data. Students will learn how to choose the adequate statistical method, discuss its identifying assumptions, correctly interpret its results and to translate them into economically meaningful answers. This course is supplemented by the course “Advanced Econometrics” (41957) which provides formal proofs and additional results.
Bibliography Any textbook in econometrics covers the topics developed in this course. The technical level of this course will be closer to the introductory text- books. However, students with a strong mathematical background may find the advanced textbook more appropriate. The two companions are not self-contained textbooks but useful to deepen the intuitive understanding.
Introductory textbook:
- Stock, James H. and Mark W. Watson (2020), Introduction to Econometrics, 4th Global Edition, Pearson.
Advanced textbooks:
- 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.
Companion textbooks:
- Angrist, Joshua D. and Jorn-Steffen Pischke (2009), Mostly Harmless Econometrics: An Empiricist's Companion, Princeton University Press.
Comments Students who plan to take other courses in econometrics should also follow the course "Advanced Econometrics" (41957) along with "Econometrics" (12036).
Weblink Further Information

 

Admission requirements Prerequisites:
Completed BA in Business and Economics and basic 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 Monday 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
wöchentlich Thursday 10.15-12.00 Pharmazentrum, Hörsaal 1

Dates

Date Time Room
Thursday 19.09.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 23.09.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 26.09.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 30.09.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 03.10.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 07.10.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 10.10.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 14.10.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 17.10.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 21.10.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 24.10.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 28.10.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 31.10.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 04.11.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 07.11.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 11.11.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 14.11.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 18.11.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 21.11.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 25.11.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 28.11.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 02.12.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 05.12.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 09.12.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 12.12.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Monday 16.12.2024 10.15-12.00 Vesalianum Seiteneingang, Grosser Hörsaal (EO.16)
Thursday 19.12.2024 10.15-12.00 Pharmazentrum, Hörsaal 1
Modules Basic Module: Advanced Topics in Economics (Master's Studies: International and Monetary Economics) (Pflicht)
Module: Core Competences in Economics (Master's Studies: Sustainable Development)
Module: Economic Approaches (Master's Studies: European Global Studies)
Module: Field Electives in Finance and Money (Master's Studies: Finance and Money)
Module: Fundamentals in Business and Economics (Master's Studies: Business and Economics)
Module: Fundamentals in Business and Technology (Master's Studies: Business and Technology)
Module: Fundamentals in Economics (Master's Studies: Economics and Public Policy)
Module: Preparation Master's Thesis in Economics (Master's Studies: Sustainable Development)
Assessment format main lecture exam
Assessment details There will be a final exam and eight online tests. The online tests will be graded on a pass / fail basis. You must pass at least five out of the eight online tests in order to be allowed to the final exam. If you do not fulfill this requirement, you will be excluded from the final exam and deregistered from the course in the online services. The grade will solely be determined by the final exam.

written exam: tbd

repeat exam: tbd

IMPORTANT:
For courses with a main lecture exam, a repeat exam is offered in addition to the regular examination date.This repeat examination can only be taken if the student has taken part in and failed the regular examination (grade < 4.0) see study guide of our master programs by December 13, 2021: Paragraph 4.13.4.1.
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination one repetition, best attempt counts
Scale 1-6 0,1
Repeated registration one repetition
Responsible faculty Faculty of Business and Economics , studiendekanat-wwz@unibas.ch
Offered by Faculty of Business and Economics

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