ECON9106 - Advanced Applied Econometrics

Schedule, syllabus and examination date

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Course content

This course introduces core microeconometric methods for estimation and inference, Advanced causal inference, and the analysis of dynamic outcomes. 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 using Statistical software (Stata/R).

Learning outcome

Knowledge outcomes

The course develops knowledge of both the formal and practical aspects of important microeconometric methods. The successful student will be able to understand when to apply a method, how to apply this method and the method’s limitations. This also covers model specification and being able to correctly interpret estimation results. Mastering the course’s content will allow students to understand much of the advanced applied microeconometric literature, and to implement the econometric analyses themselves.

Skills

Skills in using Stata/R in performing relevant analyses on economic data will be developed through exercises and examples in the textbook. Students should be able to interpret estimation 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 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

Formal prerequisite knowledge

ECON3150 - Introductory Econometrics / ECON4150 - Introductory Econometrics , or equivalent.

Recommended previous knowledge

ECON4130 - Statistics 2 , ECON4137 - Applied Micro Econometrics , or equivalent.

Overlapping courses

Teaching

Access to teaching

Lectures: 2 hours per week throughout the semester.

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

Examination

The examination has two parts. Students must pass both parts to pass the course.

  • An independent replication exercise, graded pass/fail.
  • A 3-hour written school exam, graded pass/fail.

Use of sources and citation

You should familiarize yourself with the rules that apply to the use of sources and citations. If you violate the rules, you may be suspected of cheating/attempted cheating.

Language of examination

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

Grading scale

Grades are awarded on a pass/fail scale. 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.

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.

There are restrictions on resitting this exam. See further information about resitting an exam.

Withdrawal from an examination

It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.

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

PhD

Teaching

Every autumn

Examination

Every autumn

Teaching language

English