Advanced Econometrics
Course, Master's level, 2ST123
Spring 2024 Spring 2024, Uppsala, 50%, On-campus, English
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 15 January 2024–20 March 2024
- Language of instruction
- English
- Entry requirements
-
120 credits including 90 credits in statistics, or 120 credits including 60 credits in statistics and 30 credits in mathematics and/or computer science.
- Selection
-
Higher education credits (maximum 285 credits)
- Fees
-
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,500
- Total tuition fee: SEK 12,500
- Application deadline
- 16 October 2023
- Application code
- UU-76629
Admitted or on the waiting list?
- Registration period
- 21 December 2023–14 January 2024
- Information on registration from the department
Spring 2025 Spring 2025, Uppsala, 50%, On-campus, English
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 20 January 2025–24 March 2025
- Language of instruction
- English
- Entry requirements
-
120 credits including 90 credits in statistics, or 120 credits including 60 credits in statistics and 30 credits in mathematics and/or computer science.
- Selection
-
Higher education credits (maximum 285 credits)
- Fees
-
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,500
- Total tuition fee: SEK 12,500
- Application deadline
- 15 October 2024
- Application code
- UU-76629
Admitted or on the waiting list?
About the course
The course is an advanced course in econometrics focusing on regression analysis and its mathematical foundations for the purpose of a complete understanding. The course focus on theory aiming at solid knowledge of how to model empirical data appropriately when it comes to estimation methods and inferential procedures in relation to assumptions.