Due to COVID-19 restrictions, a selection of on-campus papers will be made available via distance and online learning for eligible students.
Find out which papers are available and how to apply on our COVID-19 website
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|
|Teaching period||Semester 1 (On campus)|
|Domestic Tuition Fees (NZD)||$872.70|
|International Tuition Fees (NZD)||$4,405.05|
- (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.
- More information link
- View more information about ECON 210
- 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