Schedule, syllabus and examination date

Choose semester

Course content

This course covers core micro-econometric methods and the principles of causal inference.The course builds upon and extends the material covered in ECON4150 - Introductory Econometrics. Building on the potential outcome framework the course will review OLS regression and specification issues. We will discuss instrumental variables and the interpretation of 2SLS estimates in case of heterogeneous treatment effects.We further cover regression discontinuity designs, basic panel data, difference-in-differences, matching, maximum likelihood estimation and binary and multinomial choice models. Both experimental and quasi-experimental approaches to causal inference and program evaluation will be covered. The emphasis will be on developing a solid understanding of the underlying econometric principles of the methods taught, as well as on their empirical application.

Learning outcome

Knowledge

You should know

  • The formal and practical aspects of important microeconometric methods.
  • When to apply a method and how to apply this method and the method’s limitations.
  • Model specification and being able to correctly interpret estimation results.
  • The Applied microeconometric literature, and to perform econometric analyses.

Skills

You should be able to

  • Obtain basic skills in using Stata in performing various analyses on economic data developed through exercises and examples in the textbook
  • Interpret Stata output.

Competence

You should

  • be able to read and understand project reports and journal articles that make use of the concepts and methods that are introduced in the course
  • be able to make use of the course content in your own academic work, for example in analyses that are part of the master’s thesis

Admission

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Apply for guest student status if you are admitted to another Master's programme, or have completed a master in Economics at UiO or another Norwegian University.

Prerequisites

Recommended previous knowledge

It is strongly recommended that the students have completed ECON3150 - Introductory Econometrics or ECON4150 - Introductory Econometrics

Teaching

Lectures: 2 hours per week throughout the semester.

Seminar: 2 hours per week through parts of the semester.

Access to teaching

A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.

Examination

A 3-hour written school exam.

Examination support material

Open-book exam, where all written and printed resources, as well as calculator, are
allowed.

Language of examination

The examination text is given in English, and you submit your response in English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Explanations and appeals

It is recommended to request an explanation of your grade before you decide to appeal.

Appeal

Explanation

The deadline to request an explanation is one week after the grade is published. For oral and practical examinations, the deadline is immediately after you have received your grade.

The explanation should normally be given within two weeks after you have asked for it. The examiner decides whether the explanation is to be given in writing or verbally.

Ask for an explanation of your grade in this course.

Ask for an explanation of your grade for postponed exam in this course.

Resit an examination

If you are sick or have another valid reason for not attending the regular exam, we offer a postponed exam later in the same semester.

See also our information about resitting an exam.

Withdrawal from an examination

If you wish to withdraw from the exam you must do so in Studentweb at least two weeks prior to the deadline. Failure to do so will be counted as one of the three opportunities to sit the exam.

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.

Evaluation

The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.

Facts about this course

Credits

10

Level

Master

Teaching

Every spring

Examination

Every spring

Teaching language

English