Applied Econometrics
The course will cover multivariate regression, nonlinear regression, panel data, instrumental variables, regression discontinuity designs, and differences between experimental and quasi-experimental methods. The course will also cover ways to deal with econometric problems which often arise in applied work, such as missing values, multiple outcomes, non-random samples and outliers. The course will also discuss different philosophies and approaches to causal inference, including the potential outcomes framework, reduced form estimation and structural estimation. The course will cover basic to advanced statistical programming.
Information from the course leader
2020-11-20
Welcome to the course Econometric Theory, 7.5 hp!
This course is a collaboration with Uppsala University. All education and examination will be held at Uppsala University.
Registration at SLU - register for the course at SLU in Ladok Student between 2020-12-28 – 2021-01-11.
- We will send a registration list to Uppsala University one week before the start of the course. This means you only need to register for the course at SLU between the dates above.
- If you have problems with the registration, please contact ekon-adm@slu.se.
- You need to be registered to both SLU and Uppsala University in order to be able to create a student account at Uppsala University to see the study material and access their Ladok in order to sign up for the exams.
- If you have any questions regarding the course, please contact studentadmin@nek.uu.se
- Unregistered students may NOT stay on the premises, for reasons of insurance.
- If you have been admitted to the course with conditions, you cannot register online and must contact ekon-adm@slu.se. We will check conditionally admitted students one or two weeks prior to the course start. Only registered students can participate in the course.
- If you cancel the course, you should immediately notify the course leader and ekon-adm@slu.se via email.
- Information about the course and schedule will be updated in the link below. Information is usually added closer to the course start. Click the link below:
https://www.uu.se/en/admissions/master/selma/kursplan/?kpid=42839&type=1
Course evaluation
The course evaluation is now closed
NA0172-30196 - Course evaluation report
Once the evaluation is closed, the course coordinator and student representative have 1 month to draft their comments. The comments will be published in the evaluation report.
Additional course evaluations for NA0172
Academic year 2023/2024
Applied Econometrics (NA0172-30333)
2024-02-15 - 2024-03-19
Academic year 2022/2023
Applied Econometrics (NA0172-30135)
2023-02-16 - 2023-03-21
Academic year 2021/2022
Applied Econometrics (NA0172-30213)
2022-02-18 - 2022-03-23
Academic year 2019/2020
Applied Econometrics (NA0172-30174)
2020-02-20 - 2020-03-24
Academic year 2018/2019
Applied Econometrics (NA0172-30203)
2019-02-21 - 2019-03-25
Academic year 2017/2018
Applied Econometrics (NA0172-30058)
2018-02-12 - 2018-03-25
Syllabus and other information
Syllabus
NA0172 Applied Econometrics, 7.5 Credits
Applied EconometricsSubjects
Economics EconomicsEducation cycle
Master’s levelModules
Title | Credits | Code |
---|---|---|
Single module | 7.5 | 0201 |
Advanced study in the main field
Second cycle, has only first-cycle course/s as entry requirementsMaster’s level (A1N)
Grading scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Language
EnglishPrior knowledge
Knowledge equivalent of 180 credits, of which 90 in Economics.Objectives
The aim of this course is to give students advanced practice of how to conduct empirical economic research. After having taken the course, students should have an advanced understanding of causal inference, and be able to compare, implement and interpret different methods used to estimate causal effects.
Content
The course will cover multivariate regression, nonlinear regression, panel data, instrumental variables, regression discontinuity designs, and differences between experimental and quasi-experimental methods. The course will also cover ways to deal with econometric problems which often arise in applied work, such as missing values, multiple outcomes, non-random samples and outliers. The course will also discuss different philosophies and approaches to causal inference, including the potential outcomes framework, reduced form estimation and structural estimation. The course will cover basic to advanced statistical programming.
Grading form
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.Formats and requirements for examination
Written exam.
- If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.
- The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.
- If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.
- For the examination of a degree project (independent project), the examiner may also allow the student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.
Other information
The right to participate in teaching and/or supervision only applies for the course instance the student was admitted to and registered on.
If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.
Responsible department
Department of Economics
Litterature list
- https://www.uu.se/en/admissions/master/selma/kursplan/?kpid=42839&type=1 [https://www.uu.se/en/admissions/master/selma/kursplan/?kpid=42839&type=1] (https://www.uu.se/en/admissions/master/selma/kursplan/?kpid=42839&type=1)