This course syllabus is discontinued or replaced by a new course syllabus. |
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Course Syllabus |
Economics, Causal Inference for Economics - An Introduction, Second Cycle, 7.5 Credits |
Course Code: | NA414A | Subject Area: | Field of Science |
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Main Field of Study: | Economics | Credits: | 7.5 |
Subject Group (SCB): | Economics | ||
Education Cycle: | Second Cycle | Progression: | A1N |
Established: | 2017-11-17 | Last Approved: | 2018-09-27 |
Valid from: | Spring semester 2019 | Approved by: | Head of School |
General aims for second cycle education
Second-cycle courses and study programmes shall involve the acquisition of specialist knowledge, competence and skills in relation to first-cycle courses and study programmes, and in addition to the requirements for first-cycle courses and study programmes shall
- further develop the ability of students to integrate and make autonomous use of their knowledge
- develop the students' ability to deal with complex phenomena, issues and situations, and
- develop the students' potential for professional activities that demand considerable autonomy, or for research and development work.
(Higher Education Act, Chapter 1, Section 9)
Knowledge and understanding
Upon completion of the course, the students should be able to:
- Demonstrate understanding of when a relationship can be interpreted as causal and discuss different ways to calculate/estimate and interpret causal relationships.
- Demonstrate understanding of how problems such as endogeneity, selection and/or reverse causality could influence the estimated relationship.
Competence and skills
Upon completion of the course, the students should be able to:
- Use different types of data to estimate causal relationships using a statistical software.
- Use contrafactual models, i.e models that tries to handle endogeneity, selection and/or reverse causality.
Judgement and approach
Upon completion of the course, the students should be able to:
- Critically evaluate estimated relationships.
- Discuss how different conditions and limitations for economical and political conclusions are influenced by how the economic and econometric analysis is done and the available data.
- The main framework for causal inference
- Different methods for causal inference such as:
Randomised controlled trials
Instrumental variables
Regression discontinuity design
Difference in difference
Lectures, labs, workshops and individual assignments.
Students who have been admitted to and registered on a course have the right to receive tuition and/or supervision for the duration of the time period specified for the particular course to which they were accepted (see, the university's admission regulations (in Swedish)). After that, the right to receive tuition and/or supervision expires.
For further information, see the university's local examination regulations (in Swedish).
According to the Higher Education Ordinance, Chapter 6, Section 18, a grade is to be awarded on the completion of a course, unless otherwise prescribed by the university. The university may prescribe which grading system shall apply. The grade is to be determined by a teacher specifically appointed by the university (an examiner).
According to regulations on grading systems for first- and second-cycle education (vice-chancellor's decision 2010-10-19, reg. no. CF 12-540/2010), one of the following grades is to be used: fail, pass, or pass with distinction. The vice-chancellor or a person appointed by the vice-chancellor may decide on exceptions from this provision for a specific course, if there are special reasons.
Grades used on course are Fail (U), Pass (G) or Pass with Distinction (VG).
FINAL GRADE
To obtain the final grade Pass (G), the student must receive the grade Pass (G) on all the examination parts. To obtain the final grade Pass with Distinction (VG), the student must in addition receive a Pass with Distinction on at least half of the assignments.
For further information, see the university's local examination regulations (in Swedish).
First-cycle courses of 75 credits in Economics including an independent project of 15 credits. Statistics, Basic Course, 15 credits and 7,5 credits in regression analysis/econometrics/scientific method within economic or statistics.
The applicant must also have qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School.
For further information, see the university's admission regulations (in Swedish).
Students who have previously completed higher education or other activities are, in accordance with the Higher Education Ordinance, entitled to have these credited towards the current programme, providing that the previous studies or activities meet certain criteria.
For further information, see the university's local credit transfer regulations (in Swedish).
Required Reading