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EK0607 PRINCIPLES OF ECONOMETRICS 

 

Basic Information

  • Location: Helsinki, University of Helsinki

  • Time: Academic year 2006-2007

    • Autumn term: Principles of Econometrics I

    • Spring term: Principles of Econometrics II

The course is divided in two parts: Principles of Econometrics I (autumn term) and Principles of Econometrics II (spring term). In total the course includes 48 hours of lectures and 24 hours of exercises (app. 5 credits/7 ECTS credit points).

The course can be passed by:

  • taking two midterm exams (the points of the midterm exams are added together): the first midterm exam is arranged in the autumn term and the second midterm exam is arranged in the spring term AND/OR
  • taking a retake exam in the spring term (part I and II must be examined together) AND
  • writing a term paper (consisting of an independent empirical study) AND
  • solving a sufficient number of problems correctly (separately for part I and part II): in practise this means that the exams (both the midterm exams and the retake exam) can only be taken by those who have solved at least half of the problems of each problem set "showing good effort" so that the principles of solution are correct - mistakes in mechanical calculations are allowed, however, and
  • getting 40 % of the combined maximum points of the two midterm exams (at the minimum):
    • the final grade consists of two midterm exams or a retake exam (60% of the final grade), exercises (10% of the final grade) and a term paper (30% of the final grade)

Please note that the students' home departments are responsible for registering the grades according to their own requirements. FDPE gives the students, on request, a certificate of the courses passed within the programme.

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Teaching Staff

  • Instructor: Professor Markus Jäntti (Åbo Akademi), part I and II

  • Teaching assistant: Jan-Erik Antipin (University of Tampere), part I and II

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Topics

Topics covered in the course include:

  • maximum likelihood estimation

  • GLS estimation

  • instrumental variables

  • dynamic models

  • simultaneous equations

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