Introductions to Econometrics

University of Otago

Course Description

  • Course Name

    Introductions to Econometrics

  • Host University

    University of Otago

  • Location

    Dunedin, New Zealand

  • Area of Study

    Economics

  • Language Level

    Taught In English

  • Prerequisites

    BSNS 102 or STAT 110

  • 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

    Statistical and econometric techniques widely used in empirical work in economics and finance, including distribution theory and least squares regression. Computer-based tutorials emphasise practical applications of the techniques examined.

    ECON 210 is designed to introduce students to some of the statistical and econometric techniques that are widely used in empirical work in economics and other related disciplines. It covers the basics of estimation and inference in the context of the single-equation linear regression model. The main objective of the paper is to learn how to apply relevant econometric methods to analyse data and interpret the results from such analyses. The focus is on conceptual understanding and ?hands-on' applications using economic data drawn from real-world examples, rather than on formal theoretical proofs. By the end of the paper, students should be able to appreciate and interpret the econometric and statistical analysis reported in many studies in economics and be able to carry out and interpret their own econometric analysis.

    Learning Outcomes
    The main objective of the paper is to learn how to apply relevant econometric methods to analyse data and interpret the results from such analyses. The focus is on conceptual understanding and 'hands-on' applications using economic data drawn from real-world examples, rather than on formal theoretical proofs. By the end of the paper, students should be able to appreciate and interpret the econometric and statistical analysis reported in many studies in economics and be able to carry out and interpret their own econometric analysis.

Course Disclaimer

Courses and course hours of instruction are subject to change.

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