Methods in Economics
Course evaluation
Additional course evaluations for NA0193
Academic year 2024/2025
Methods in Economics (NA0193-10249)
2024-09-02 - 2024-10-31
Academic year 2023/2024
Methods in Economics (NA0193-10398)
2023-08-28 - 2023-10-30
Syllabus and other information
Syllabus
NA0193 Methods in Economics, 15.0 Credits
Nationalekonomiska metoderSubjects
EconomicsEducation cycle
Bachelor’s levelModules
Title | Credits | Code |
---|---|---|
Theory and applications | 12.0 | 0001 |
Project | 3.0 | 0002 |
Advanced study in the main field
First cycle, has less than 60 credits in first-cycle course/s as entry requirementsBachelor’s level (G1F)
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 to30 credits economics
10 credits statistics
English 6
Exemption granted from the general entry requirement of Swedish
Objectives
The aim of the course is to introduce the students to commonly used research methods in economics as well as to philosophy of science and ethics within the discipline. The course deals with fundamental methodological aspects such as the importance of theory for hypothesis formulation and how data quality affects the strength and reliability of the results and researchers' opportunities to make policy recommendations based on the results. Furthermore, the students receive practical training in applying econometric methods and linear programming. They also get an introduction to experiments as a methodological approach in economics.
After completing the course, the student should be able to
- account for the role of theory in formulating problems and in developing research hypotheses
- account for common empirical data sources in the field of agricultural and environmental economics
- critically discuss the limitations of data used for empirical analysis in terms of validity and reliability as well as the results
- perform and evaluate cross-sectional, panel data and time series analysis
- explain and understand the intuition behind the most commonly used econometric methods in order to isolate the causal effects
- perform and evaluate decision problems in economics using linear programming
- account for the basics of experimental economics
- identify strengths and weaknesses in commonly used empirical methods.
Content
Subject content:
The course includes a review of basic scientific and philosophical considerations in economics. Following this, the students are introduced to common data sources within economic analysis and research with a focus on agriculture, food and the environment. Students are then introduced to econometric methods, linear programming and economic experiments. Finally, advantages and disadvantages of common empirical methods in economics are discussed.
Course implementation:
The course uses different teaching methods to promote students' learning and discussions through:
Lectures, exercises, seminars and project work.
The course focuses on the following general competences:
Scientific methods, critical thinking, problem solving
The following components are compulsory:
Exercises and seminars
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
Passed examination.
Approved written assignments.
Approved project work.
Approved participation in compulsory components.
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 assessment of an independent project (degree project), the examiner may also allow a 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
Further information
Litterature list
- Stock, J. H. and Watson, M. W. (2019). “Introduction to Econometrics”, Global Edition. Pearson education limited. ISBN: 9781292264455