Red X iconGreen tick iconYellow tick icon

    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 paper) 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. The emphasis is on understanding and interpreting results. A good part of the time will be devoted to using real New Zealand data for hands-on, computer-based exercises in the lab, producing estimates and forecasts and presenting these in tables and graphs along with explanations.

    About this paper

    Paper title Econometrics
    Subject Economics
    EFTS 0.15
    Points 18 points
    Teaching period Semester 2 (On campus)
    Domestic Tuition Fees ( NZD ) $937.50
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    Prerequisite
    (FINC 102 or FINQ 102 or MATH 140) and (ECON 210 or FINC 203 or STAT 210 or STAT 241)
    Schedule C
    Arts and Music, Commerce, Science
    Contact
    economics@otago.ac.nz
    Teaching staff

    Co-ordinator and Lecturer: Alfred Haug
    Lecturer: Dennis Wesselbaum

    Textbooks

    The prescribed texts are:

    Wooldridge, Jeffrey M. (2018). Introductory Econometrics: A Modern Approach, seventh edition. Cengage.

    Stock, James H. and Watson, Mark W (2020). Introduction to Econometrics, fourth global edition. Pearson.

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

    Students who successfully complete this paper will be able to critically assess empirical work produced by researchers.

    Timetable

    Semester 2

    Location
    Dunedin
    Teaching method
    This paper is taught On Campus
    Learning management system
    Blackboard

    Computer Lab

    Stream Days Times Weeks
    Attend one stream from
    A1 Tuesday 09:00-09:50 30-35, 37-42
    A2 Tuesday 10:00-10:50 30-35, 37-42

    Lecture

    Stream Days Times Weeks
    Attend
    A1 Monday 09:00-09:50 29-35, 37-42
    Tuesday 12:00-13:50 29-35, 37-42
    Back to top