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
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.
|Teaching period||Semester 2 (On campus)|
|Domestic Tuition Fees (NZD)||$887.55|
|International Tuition Fees||Tuition Fees for international students are elsewhere on this website.|
- (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
- More information link
- View more information about ECON 375
- Teaching staff
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.