Econometrics 1: Econometric Methods I (2017)


Basic Information

  • Organizer: University of Helsinki
  • Location: Helsinki, Arkadiankatu 7, Economicum building
  • Time schedule (Please note that all changes to this original schedule will only be posted on the course home page, see above)
  • The course includes 18 hours of lectures and 8 hours of exercises, a final exam and a possibility to retake the exam.

Teaching Staff

  • Instructor: Associate Professor Mika Meitz (University of Helsinki)
  • Teaching assistant: NN

Topics and learning objectives

  • Description: This module introduces the basic methods used in linear regression analysis of economic variables. The classical finite sample theory, and asymptotic analysis of the linear regression model as well as the necessary methodological tools required for these topics are covered. After the module, the student should know the main properties and limitations of the linear regression model and the basics of asymptotic analysis, and be able to employ the linear regression model and related inferential methods in empirical research.
  • Topics covered include:
    • Classical finite sample theory
    • Basics of asymptotic theory
    • Asymptotic theory in the linear regression model
    • Autocorrelation, heteroskedasticity, and dynamic regressors
    • Specification tests
    • Omitted variables, instrumental variables, 2SLS

Course Material

  • To be added to Moodle.
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