Course syllabus
Economics, Methods for Analysis in Economics and Finance, Second Cycle, 7.5 credits
Course code: | NA436A | Credits: | 7.5 |
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Main field of study: | Economics | Progression: | A1N |
Last revised: | 12/03/2024 | ||
Education cycle: | Second cycle | Approved by: | Head of school |
Established: | 01/11/2019 | Reading list approved: | 12/03/2024 |
Valid from: | Autumn semester 2024 | Revision: | 3 |
Learning outcomes
Analytical work in economics and finance often combines economic theory, economic models and one or multiple empirical approaches. Statistical analysis can be pointless if not supported by critical appraisal and understanding of data and by a careful and creative empirical identification strategy. To make results useful to decision makers it is often important to demonstrate how they can be related to relevant decision problems, for instance by use of cost-benefit analysis or investment assessment. The aim of this course is therefore that the participants should acquire knowledge and expertise such that they can:
- Understand how various theories and methods in economics, finance and econometrics can be used and combined to solve problems of various nature
- Within the given time frame write reports discussing the major results, strengths and weaknesses, and conclusions of important research articles
- Present, comment and discuss other students’ reports and presentations.
Content
The course is based on workshops in which the choice of methods and mix of methods in research papers on various topics in economics and finance are studied and discussed.
Examinations and grades
Examination, 7.5 credits (Code: A001)
Grades used are Fail (F), Sufficient (E), Satisfactory (D), Good (C), Very Good (B) or Excellent (A).
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 determine which grading system is to be used. The grade must be determined by a teacher specifically nominated by the university (the examiner).
In accordance with university regulations on grading systems for first and second-cycle courses and study programmes (Vice-Chancellor’s decision ORU 2018/00929), one of the following grades is to be used: fail (U), pass (G) or pass with distinction (VG). For courses included in an international master’s programme (60 or 120 credits) or offered to the university’s incoming exchange students, the A to F grading scale is to be used. The vice-chancellor, or a person appointed by them, may decide on exceptions from this provision for a specific course, if there are special grounds for doing so.
The grades used on this course are Fail (F), Sufficient (E), Satisfactory (D), Good (C), Very Good (B) or Excellent (A).
Comments on grades
The course grade is based on the workshops and assignments.
Modes of assessment
Examination, 7.5 credits (Code: A001)
Workshops and assignments.
For students with a documented disability, the university may approve applications for adapted or other modes of assessment.
For further information, see the university's local examination regulations.
Specific entry requirements
First-cycle courses of 75 credits in Economics including an independent project of 15 credits, or first-cycle courses of 75 credits in Business Administration including an independent project of 15 credits.
Data Mining and business Analytics, Basic Course, 15 credits alternatively 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.
Other provisions
The course will be given in English.
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.
Reading list and other learning resources
Required Reading
Papers max 400 pages.