PhD Econometrics II

ECS509 PhD Econometrics II

Autumn 2020

Spring 2021
  • Topics

    This is the second of two courses in econometrics in the PhD program in economics. The goal of the courses is to make students familiar with econometric techniques at an advanced level. The course provides a deeper understanding of modern econometric methods that are applied in many fields of economics. The course also puts strong emphasis on practical empirical exercises. The students train at critically assessing studies, but also in doing advanced empirical studies with data that are provided in class. We cover inference and identification with method of moments, maximum likelihood, panel data models, identification and natural experiments, applied instrumental variables, differences in differences and regression discontinuities. We also cover some further econometric topics such as choice models, measurement error and missing data, dependent data, limited dependent variables, and computer literacy.

  • Learning outcome

    Upon completion of the course, the students will be able to:


    • Identify and understand the standard identification strategies in research papers


    • Calculate standard estimators and corresponding standard errors
    • Discuss inferential issues with dependent data

    General competencies:

    • Use available software to estimate standard models on real world data
    • Evaluate alternative identification strategies

  • Teaching

     Lectures and assignments.

  • Required prerequisites


  • Requirements for course approval

    Approved assignments and participation in class.

  • Assessment

    Group based term paper.

    Group size: 2-3.

    Scope: 4000 words maximum.

    Term paper is handed out in October with submission deadline in November. The term paper must be written in English. 

  • Grading Scale


  • Literature

    In addition to selected papers, there are two textbooks:

    Linton, Oliver (2017). Probability, Statistics and Econometrics, Academic Press, 1st edition

    Angrist and Pischke (2009). Mostly Harmless Econometrics: An Empiricist's Companion, Princeton, NJ: Princeton University.


ECTS Credits
Teaching language

Spring. Offered spring 2021.

Please note: Due to the present corona situation, please expect parts of this course description to be changed before the autumn semester starts. Particularly, but not exclusively, this relates to teaching methods, mandatory requirements and assessment.

Course responsible

Assistant Professor Morten Sæthre and Assistant Professor Alexander Willén, Department of Economics.