Econometrics (PHD401)
The aim of this course is to develop a knowledge on the econometric methods that are useful to analyze individual level data (microdata).
Course description for study year 2024-2025. Please note that changes may occur.
Facts
Course code
PHD401
Version
2
Credits (ECTS)
5
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
English
Offered by
Time table
Content
The course will cover the following specific aspects:
- Defining parameters and arguing their (policy) relevance
- Randomized controlled trials
- Controlling for observables
- Instrumental variables 1: Local average treatment effects (and its extensions)
- Instrumental variables 2: Weak instruments
- Approaches to analyze repeated cross-sections and panel data: Difference in Differences, Event studies, Synthethic control
Learning outcome
Upon completion of this course, students will:
Knowledge:
- Have solid knowledge of key microeconometric methods
- Have solid knowledge about the formal basis for the methods
- Have solid knowledge of central issues related to practical use of the methods
- Have the necessary knowledge to understand, design, conduct and interpret empirical analyses of real world data
Skills:
- Be able to understand causal modeling
- 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 data
General competence:
- Be conversant in the world of empirical microeconomics
- 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
Required prerequisite knowledge
Participants must be enrolled in a PhD program.
Recommended prerequisites
Master's degree in economics or similar.
Exam
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Individual paper | 1/1 | Passed / Not Passed |
Course teacher(s)
Course coordinator:
Torfinn HardingMethod of work
Lectures, problem sets, written asignment.
The course will last one week, with physical attendance.