Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


The students learn the most common microeconometric methods typically used in applied research. Students also learn how to analyze critically estimation strategies and how to interpret empirical results. The course is especially suitable for students who want to use econometric methods in their master s thesis.

Credits: 6

Schedule: 14.09.2021 - 26.10.2021

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Tuomas Pekkarinen, Lassi Tervonen

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    The course covers identification based on observables, randomized control trials, difference-in-differences, instrumental variables and regression discontinuity design.
    The students will also use an econometric software in the analysis of data and estimations.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Exercises (50% of the final marking)
    Exam (50% of the final marking)
    To pass the course a passing grade in the exam is required.

  • valid for whole curriculum period:

    Lectures 24h
    Exercises 12h
    Preparing for lectures and exam 96h
    Preparing for exercises 24h
    Exam 4h


Study Material
  • valid for whole curriculum period:

    Joshua D. Angrist and Jörn-Steffen Pischke: Mostly harmless econometrics: An empiricist s companion  (2009), compulsory

    Joshua D. Angrist and Jörn-Steffen Pischke: Mastering metrics (2015), compulsory

    Jeffrey M. Wooldridge  Introductory econometrics: A modern approach   (2009), compulsory


    Other material assigned during the course.

Substitutes for Courses
SDG: Sustainable Development Goals

    8 Decent Work and Economic Growth


Further Information
  • valid for whole curriculum period:

    If the student already previously has completed 31E01300 Applied Time Series Econometrics, 31E19800 Financial Econometrics, 31E31000 Econometrics I: Basics or 30E00800 Time Series Analysis, these courses can compensate the compulsory advanced econometrics course.

    Teaching Period:
    2020-2021 Autumn I
    2021-2022 Autumn I

    Course Homepage:

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu ( instead of WebOodi.