Statistics, Econometrics, Intermediate Course, 7.5 credits

Aims and objectives

General aims for first cycle education

First-cycle courses and study programmes shall develop:

• the ability of students to make independent and critical assessments
• the ability of students to identify, formulate and solve problems autonomously, and
• the preparedness of students to deal with changes in working life.

In addition to knowledge and skills in their field of study, students shall develop the ability to:

• gather and interpret information at a scholarly level
• stay abreast of the development of knowledge, and
• communicate their knowledge to others, including those who lack specialist knowledge in the field.

(Higher Education Act, Chapter 1, Section 8)

Course objectives

Knowledge and understanding

After completion of the course, the student will have

• deeper knowledge of basic concepts in econometrics
• knowledge of regression models using cross-sectional data and panel data.

Competence and skills

After completion of the course, the student will have

• the ability to use the knowledge in applied situations supported by statistical software.

Judgement and approach

After completion of the course, the student will have

• the ability to critically review and evaluate econometric models.

Main content of the course

• Basic concepts in econometrics: model, non-observable heterogeneity, endogeneity
• Simple and multiple linear regression using cross-sectional data
• Regression models for binary response
• Regression modelling for panel data
• Instrumental variables estimation.

Teaching methods

Lectures and computer labs.

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.

Examination methods

Written Examination, 6 credits (Code: A001)

Computer Labs, 1.5 credits (Code: A002)

For students with a documented disability, the university may approve applications for adapted or other forms of examinations.

For further information, see the university's local examination regulations (in Swedish).

Grades

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).

In accordance with university regulations regarding grading systems for first and second-cycle courses (Vice-Chancellor’s decision ORU 2018/00929), one of the following grades shall be used: Fail (U), Pass (G) or Pass with Distinction (VG). For courses that are included in an international Master’s programme (60 or 120 credits) or offered to the university’s incoming exchange students, the grading scale of A-F shall be used. 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 grounds.

Grades used on course are Fail (F), Sufficient (E), Satisfactory (D), Good (C), Very Good (B) or Excellent (A).

Written Examination
Grades used are Fail (F), Sufficient (E), Satisfactory (D), Good (C), Very Good (B) or Excellent (A).

Computer Labs
Grades used are Fail (U) or Pass (G).

For further information, see the university's local examination regulations (in Swedish).

Comments on grades

To obtain a passing grade for the course as a whole, a passing grade is required on all course components. The final grade for the entire course is a function of the grades of the course components. Detailed information on the requirements for different grade levels is given at the course start."

Specific entry requirements

Successful completion of at least 12 credits within the course Basic Statistics, 15 credits and 1.5 credits within the course Statistics, Regression Analysis, Basic Course, 7.5 credits

For further information, see the university's admission regulations (in Swedish).

Transfer of credits for previous studies

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).

Other provisions

Teaching language is English provided that at least one student does not speak Swedish. Otherwise teaching language may be Swedish.

Reading list and other teaching materials

Stock, James H. & Mark W. Watson, 2020, Global Edition, 4th Edition (latest edition)
Introduction to Econometrics
Pearson Education, 800 pages, approx 340 pages to be read