Econometrics
Course, Bachelor's level, 2ST092
Autumn 2023 Autumn 2023, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 29 September 2023–1 November 2023
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
- Selection
-
Final school grades (60%) - Swedish Scholastic Aptitude Test (40%)
- 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 11,250
- Total tuition fee: SEK 11,250
- Application deadline
- 17 April 2023
- Application code
- UU-26602
Admitted or on the waiting list?
- Registration period
- 27 July 2023–27 August 2023
- Information on registration
Autumn 2023 Autumn 2023, Uppsala, 100%, On-campus, The course will be taught in English, if needed For exchange students
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 29 September 2023–1 November 2023
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
Admitted or on the waiting list?
- Registration period
- 27 July 2023–27 August 2023
- Information on registration
Spring 2024 Spring 2024, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 16 February 2024–20 March 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
- Selection
-
Final school grades (60%) - Swedish Scholastic Aptitude Test (40%)
- 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 11,250
- Total tuition fee: SEK 11,250
- Application deadline
- 16 October 2023
- Application code
- UU-76602
Admitted or on the waiting list?
- Registration period
- 21 December 2023–14 January 2024
- Information on registration
Spring 2024 Spring 2024, Uppsala, 100%, On-campus, The course will be taught in English, if needed For exchange students
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 16 February 2024–20 March 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
Admitted or on the waiting list?
- Registration period
- 21 December 2023–14 January 2024
- Information on registration
Autumn 2024 Autumn 2024, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 October 2024–5 November 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
- Selection
-
Final school grades (60%) - Swedish Scholastic Aptitude Test (40%)
- 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 11,250
- Total tuition fee: SEK 11,250
- Application deadline
- 15 April 2024
- Application code
- UU-26602
Admitted or on the waiting list?
Autumn 2024 Autumn 2024, Uppsala, 100%, On-campus, The course will be taught in English, if needed For exchange students
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 October 2024–5 November 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
Admitted or on the waiting list?
Spring 2025 Spring 2025, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 20 February 2025–24 March 2025
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
- Selection
-
Final school grades (60%) - Swedish Scholastic Aptitude Test (40%)
- 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 11,250
- Total tuition fee: SEK 11,250
- Application deadline
- 15 October 2024
- Application code
- UU-76602
Admitted or on the waiting list?
Spring 2025 Spring 2025, Uppsala, 100%, On-campus, The course will be taught in English, if needed For exchange students
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 20 February 2025–24 March 2025
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
Admitted or on the waiting list?
About the course
The course is in basic econometrics with a focus on regression analysis. It requires at least a basic course in probability theory and statistical inference since all the major concepts, methods and models build upon probability theory and statistical inference. The course focuses mainly on the theory and applications of single and multiple linear regression analysis. Great emphasis is put on the estimation, inference and interpretation of the multiple linear regression model and its extensions. The course also covers the assumptions of OLS, why they are needed and how to detect and deal with violations of these assumptions.