ECON9104 – Topics in Econometrics
Course content
This course introduces selected topics in advanced econometric methods. The specific content varies from year to year, and topics include advanced methods for causal inference, time series econometrics, methods for structural estimation, econometric analysis with varying types of data and sampling frameworks, as well as econometric theory. 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.
Learning outcome
Knowledge:
Have solid knowledge of advanced econometric methods for estimation and inference
Have solid knowledge about the formal basis for the methods
Have solid knowledge of central issues related to practical use of the methods, including their application using statistical software
Have the necessary knowledge to understand, design, conduct and interpret empirical analyses of real world data
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Skills:
Be able to understand econometric modeling and adapt models to various scenaria
Understand underlying assumptions, strengths, and weaknesses of different empirical approaches
Understand key issues in design and implementation of empirical analyses
Be able to design empirical analyses and analyze various types of data
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General competence?:
Be conversant in the world of econometrics and empirical economics
Be able to produce empirical economic research
Be able to consume empirical economic research
Be able to develop scientifically valid analyses
Have proficiency in software designed for data analysis and estimation
Admission to the course
This course is offered to PhD candidates at the Oslo PhD Initiative in Economics at UiO and BI. Other candidates admitted to a PhD program may apply.
Application form on the semester page.
Formal prerequisite knowledge
Master`s degree in economics or similar.
Teaching
The course takes place during one intensive week.
Credit for the course requires both active participation in class and a take home exam/essay.
Examination
A take-home exam.
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.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.