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    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.

    About this paper

    Paper title Introduction to Econometrics
    Subject Economics
    EFTS 0.15
    Points 18 points
    Teaching period Semester 1 (On campus)
    Domestic Tuition Fees ( NZD ) $937.50
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    (BSNS 102 or BSNS 112) or STAT 110
    FINC 203, STAT 210, STAT 241
    Schedule C
    Arts and Music, Commerce, Science

    ECON 210 is recommended for economics majors with a good background in first-year statistics for whom an appreciation of the econometric and statistical tools in widespread use in economic analysis would be invaluable. It is also one of the required papers that students intending to proceed to postgraduate programmes (MEcon, MSc, Honours, PGDip) in economics must include in their Bachelor's degree programme.

    Teaching staff
    Professor Dorian Owen

    Jeffrey M. Wooldridge, Introductory Econometrics: A Modern Approach, 7th Edition, Cengage Learning, 2020.

    Course outline

    View the course outline for ECON 210

    Graduate Attributes Emphasised
    Global perspective, Interdisciplinary perspective, Scholarship, Communication, Critical thinking, Information literacy, Research, Self-motivation.
    View more information about Otago's graduate attributes.
    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.

    Students who successfully complete this paper should be able to:

    • Appreciate and interpret the econometric and statistical analysis reported in many studies in economics
    • Be able to carry out and interpret their own econometric analysis


    Semester 1

    Teaching method
    This paper is taught On Campus
    Learning management system

    Computer Lab

    Stream Days Times Weeks
    Attend one stream from
    A1 Monday 09:00-09:50 10-13, 15-22
    A2 Monday 14:00-14:50 10-13, 15-22


    Stream Days Times Weeks
    L1 Monday 10:00-10:50 9-13, 15-22
    Tuesday 10:00-10:50 9-13, 15-22
    Wednesday 10:00-10:50 9-13, 15-22


    Stream Days Times Weeks
    T1 Tuesday 09:00-09:50 10-13, 15-22
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