ECON5106 – Advanced Applied Econometrics
Schedule, syllabus and examination date
This course has joint teaching with ECON9106B – Advanced Applied Econometrics
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).
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 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.
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
Students admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
Students not admitted to the Master’s programme in Economics or the Master’s programme in Economic Theory and Econometrics (Samfunnsøkonomisk analyse), can apply for admission to one of our study programmes, or apply for guest student status.
Formal prerequisite knowledge
- Bachelor's degree in Economics, or equivalent.
- ECON3150 – Introductory Econometrics / ECON4150 – Introductory Econometrics , or equivalent.
Recommended previous knowledge
- 15 credits overlap with ECON9106 – Advanced Applied Econometrics (discontinued)
- 5 credits overlap with ECON5100 – Advanced Econometrics (discontinued)
- 5 credits overlap with ECON5103 – Advanced Econometrics - Panel Data (discontinued)
- 5 credits overlap with ECON5105
Lectures and seminars.
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 A–F.
If the Covid-19 situation makes it impossible to offer a written school exam in this course this fall, the exam will be a 5-hour digital home exam. The time for the exam might then be changed (but not the date). Information will be provided well in advance of the exam, if such changes are made.
Use of sources and citation
Examination support material
Resources allowed: Open book examination where all printed and written resources, in addition to calculator, are allowed.
From spring 2018 there are two calculators allowed for examinations:
- Aurora HC106 - a very simple calculator with most basic functionsfunctions
- Casio FX-85EX which is a scientific calculator with 274
All other calculator types will be rejected. The calculators are checked in the exam room. There is no opportunity to lend the calculator of fellow students.
You can buy the calculators at Akademika bookstore at Blindern, or online.
The same general rules for cheating also apply when using calculator.
Language of examination
The examination text is given in English, and you submit your response in English.
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.
Students on masters level are awarded on a descending scale using alphabetic grades from A to E for passes and F for fail. Students who would like to have the course approved as part of the requirement for admission to our phd-program, must obtain the grade C or better. Students who would like to have the course approved as a part of our phd-program, must obtain the grade B or better. Students on phd-level are awarded either a passing or failing grade. The pass/fail scale is applied as a separate scale with only two possible results.
Explanations and appeals
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.
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.