This course is discontinued

UV9255 Causal modelling in non-experimental data

Course content

CEMO organizes a three-day workshop on causal modeling in non-experimental data.

This course combines lectures and hands-on exercises, and builds up knowledge and skills in using advanced econometric modelling techniques.


Day 1: Conceptual issues (Nov 25, 2015)

  • Introduction to the concept of causality
  • Using logic to infer causality/DAGs
  • Causal inferences in regression and SEM models
  • Data considerations

Day 2: Propensity scores and fixed-effects (Nov 26, 2015)

  • Introduction to propensity score matching and weighting
  • Practical sessions
  • Introduction to fixed-effects models
  • Practical sessions

Day 3: Regression discontinuity and instrumental variables (Nov 27, 2015)

  • Introduction to regression discontinuity
  • Practical sessions
  • Introduction to instrumental variables
  • Practical sessions


  • Primary source: Willett, R.J. & Murnane, R.J.(2011). Methods Matter. Improving Causal Inference in Educational and Social Science Research. New York: Oxford UP.
  • Supplementary literature:  Angrist, J.D. & Pischke, J-S. (2014). Mastering ‘Metrics: The Path from Cause to Effect. Princeton, NJ.: Priceton UP.

An additional compendium or articles will be provided.

Learning outcome

The three-day workshop provides a conceptual and analytical introduction to causal inference in non-experimental data.


Ph.d.-students at The Faculty of Education will be given priority, but it is also possible for other Ph.d.-students to apply.
Ph.d.-students from the University of Oslo apply through Studentweb. Other apply though Nettskjema.

Registration deadline: 9 Nov 2015


Dates: 25, 26, 27 Nov 2015

Location: tba

Time: 09.00-16.00 all days

Course leaders: Henrik Daae Zachrisson and Jan-Eric Gustafsson


To obtain 1 study point 80% attendance in the lectures is required.

To obtain 3 study points a short paper needs to be submitted after the

Grading scale:
Grades are awarded on a pass/fail scale. Read more about the grading system.

Facts about this course






Autumn 2015


Autumn 2015

Teaching language