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FME3551 Applied quantitative research methods 7.5 credits

The course introduces methods for generating and collecting data from existing databases, survey methods and simulation techniques, it teaches theoretical foundations and empirical models for analyzing data and shows how to report quantitative analyzes in professional research papers

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Application

For course offering

Autumn 2023 Start 13 Nov 2023 programme students

Application code

51306

Headings with content from the Course syllabus FME3551 (Autumn 2023–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

This is a course in practical application of quantitative methods for doctoral students. The course first introduces methods to collect and store data from existing databases, to generate data by survey approaches and simulation techniques, and to prepare the data for further analysis. Second, it provides theoretical background to analyse data. Third, the course teaches how to use methods from modern empirical tool-boxes to analyse data. Forth, the students applies their skills in quantitative analysis by replicating research from a large number of examples from existing studies, or developing own research-projects. Finally, the course learn the students efficient methods to transform quantita-tive analyses using different statistical softwares to tables, equations and figures in a professional paper.

Course content:

  • Dataprocessing
  • Introduction to SQL.
  • Linear estimation methods.
  • Methods for panel dataestimation.
  • Instrumental variable regressions.
  • Difference-in-difference, matching and event studies.
  • Choice modelling using multinomial frameworks.
  • Special topics (individual choices).
  • Transformation of models, tables and figures into scientific documents.

Intended learning outcomes

Upon completion of the course participants will be equipped with a stronger set of skills and knowledge to:  

  • Generate and applydata for assessing theories, analyse relationships and making inferences.
  • Find estimators that have desirable statistical properties including unbiasedness, efficiency, and consistency.
  • Design and implement a specific empirical research project.
  • Present empirical research project as a scientific paper.
  • Critically evaluate research done by others.

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

No information inserted

Examination and completion

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

Grading scale

P, F

Examination

  • PRO1 - Project work, 4.5 credits, grading scale: P, F
  • ÖVN1 - Assignment, 3.0 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.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

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

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted

Supplementary information

The course replaces FME3518

Postgraduate course

Postgraduate courses at ITM/Industrial Economics and Management