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ME2710 Applied Econometrics 7.5 credits

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Autumn 2025 Start 27 Oct 2025 programme students

Course location

KTH Campus

Duration
27 Oct 2025 - 12 Jan 2026
Periods
P2 (7.5 hp)
Pace of study

50%

Application code

51090

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Min: 10

Target group

Open for all programs as long as it can be included in your programme

Planned modular schedule
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Schedule
Schedule is not published

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus ME2710 (Autumn 2019–)
Headings with content from the Course syllabus ME2710 (Autumn 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course includes empirical strategies for applied quantitative research. The emphasis will be to develop a solid understanding of the underlying econometric principles of the methods taught, as well as the on their empirical application. The studied subjects include application, analysis of linear and non-linear regression methods and analysis of matching methods, treatment effects, instrument variables, cross-sections and panel data with static and dynamic models, binary selection models and time series estimations. The course is designed to give the students knowledge and understanding of modern methods for study of studies for both limited and large data sets.

Intended learning outcomes

On completion of the course, the students should be able to derive apply and analyse:

  1. linear estimation methods
  2. non-linear estimation methods
  3. methods for panel data estimation
  4. methods for estimation of time series
  5. matching methods and difference-in-difference estimation methods

Literature and preparations

Specific prerequisites

Satisfies the requirements for a Degree of Bachelor of Science

Documented knowledge in English B or the equivalent.

Recommended prerequisites

At least 30 hp within mathematics, statistics , qualitative analysis, or corresponding

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • TEN1 - Exam, 5.0 credits, grading scale: A, B, C, D, E, FX, F
  • ÖVN1 - Assignments, 2.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Industrial Management

Education cycle

Second cycle