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ECON210 Introduction to Econometrics

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.

Paper title Introduction to Econometrics
Paper code ECON210
Subject Economics
EFTS 0.15
Points 18 points
Teaching period Semester 1 (On campus)
Domestic Tuition Fees (NZD) $912.00
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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(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.

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

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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 10-14, 16-22
A2 Monday 14:00-14:50 10-14, 16-22


Stream Days Times Weeks
L1 Monday 10:00-10:50 9-14, 16-22
Tuesday 10:00-10:50 9-14, 16, 18-22
Wednesday 10:00-10:50 9-14, 16-22


Stream Days Times Weeks
T1 Tuesday 09:00-09:50 10-14, 16, 18-22