ECON5100 – Advanced Econometrics
Course description
Course content
This course will be revised during 2017. Students who plan to take the revised version of ECON5100/9100, ECON5106/ECON9106 in the autumn 2017 are strongly recommended to take ECON4137 in the spring semester 2017 as this will be the recommended prerequisite for the new version of ECON5100/9100.
ECON5100 is based on the course ECON4136, covering the same concepts and the same curriculum. In addition to the regular requirements in ECON4136, students in ECON5100 must complete a project corresponding to 5 ECTS that must be approved before the exam.
This course introduces core microeconometric methods and the principles of causal inference. We will cover instrumental variables, elementary panel data models, and limited dependent variable 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.
Students will also be introduced to:
- statistical computing with Stata
- statistical package for data analysis
- data management
- graphics.
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 applied microeconometric literature, and to perform basic econometric analyses themselves.
Skills
- Basic skills in using Stata in performing various analyses on economic data will be developed through exercises and examples in the textbook
- Students should be able to 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
- 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 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 (Samfunns?konomisk analyse), can apply for admission to one of our study programmes, or apply for guest student status.
Prerequisites
Formal prerequisite knowledge
ECON3150 – Introductory Econometrics /ECON4150 – Introductory Econometrics
Recommended previous knowledge
ECON4130 - Statistics 2, or equivalent.
Overlapping courses
- 10 credits overlap with ECON4136 – Applied Statistical Analysis for the Social Sciences (discontinued)
- 10 credits overlap with ECON301B Applied statistics and econometrics
Teaching
Lectures: 2 hours per week throughout the semester.
Seminar: 2 hours per week through parts of the semester.
Your course portfolio/project must be approved before you can present your self for the written school exam.
Absence from compulsory tuition activities
If you are ill or have another valid reason for being absent from compulsory tuition activities, your absence may be approved or the compulsory activity may be postponed.
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
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.
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.
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.
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.
See also our 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.