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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 2022-2023. Please note that changes may occur.

Course code




Credits (ECTS)


Semester tution start


Number of semesters


Exam semester


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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:


  • 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  


  • 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.
Form of assessment Weight Duration Marks Aid
Individual essay 1/1 Passed / Not Passed

Course teacher(s)
Course teacher: Magne Mogstad
Course coordinator: Torfinn Harding
Method of work
Lectures, problem sets, written asignment 
Open for
Single Course Admission to PhD-Courses PhD programme in Social Sciences
The syllabus can be found in Leganto