Econometrics

University of Otago

Course Description

  • Course Name

    Econometrics

  • Host University

    University of Otago

  • Location

    Dunedin, New Zealand

  • Area of Study

    Economics

  • Language Level

    Taught In English

  • Prerequisites

    ECON 270 and (ECON 210 or FINC 203 or STAT 241)

  • Course Level Recommendations

    Upper

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • Credit Points

    18
  • Recommended U.S. Semester Credits
    3 - 4
  • Recommended U.S. Quarter Units
    4 - 6
  • Overview

    Econometric theory and application of linear estimation and testing techniques in the context of multiple regression and simultaneous equation models.

    Interpreted literally, 'econometrics' means 'economic measurement'. Although measurement is an important part of econometrics, the scope of econometrics (and this course) is much broader. Econometrics develops and applies statistical methods for estimating economic relationships, testing economic theories, selecting economic models, and evaluating government and business policies. This paper examines the theory and application of estimation and testing techniques in the context of multiple regression, models with limited dependent variables and dynamic and simultaneous equation models. The goal of this paper is developing a good understanding of some of the main techniques used in econometrics, reviewing and building on the skills and knowledge obtained in introductory econometrics. Practical computing exercises and assignments will provide experience in applying these techniques.

    Learning Outcomes
    The goal of this paper is developing a good understanding of the main techniques used in econometrics, reviewing and building on the skills and knowledge obtained in introductory econometrics. Practical computing exercises and assignments will provide experience in applying these techniques. At the end of the paper, the student will be able to critically assess empirical work produced by researchers.

Course Disclaimer

Courses and course hours of instruction are subject to change.

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Please reference fall and spring course lists as not all courses are taught during both semesters.

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Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.