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ECON375 Econometrics

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.

Paper title Econometrics
Paper code ECON375
Subject Economics
EFTS 0.1500
Points 18 points
Teaching period Second Semester
Domestic Tuition Fees (NZD) $863.25
International Tuition Fees (NZD) $4,276.80

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(FINC 102 or FINQ 102 or MATH 160) and (ECON 210 or FINC 203 or STAT 210 or STAT 241)
Schedule C
Arts and Music, Commerce, Science
Teaching staff

Co-ordinator and Lecturer: Alfred Haug
Lecturer: Paul Thorsnes


The prescribed texts are:

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

Stock, James H. and Mark W. Watson (2007). Introduction to Econometrics, second edition. Pearson, Addison Wesley.

Graduate Attributes Emphasised
Interdisciplinary perspective, Scholarship, Communication, Critical thinking, Information literacy, Research, Self-motivation, Teamwork.
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. At the end of the paper, the student will be able to critically assess empirical work produced by researchers.

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Second Semester

Teaching method
This paper is taught On Campus
Learning management system

Computer Lab

Stream Days Times Weeks
Attend one stream from
Z1 Tuesday 09:00-09:50 29-34, 36-41
Z2 Tuesday 10:00-10:50 29-34, 36-41


Stream Days Times Weeks
L1 Monday 09:00-09:50 28-34, 36-41
Tuesday 12:00-13:50 28-34, 36-41