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ECON 307

Econometrics

Course overview

An introduction and exploration of the general linear regression model, as applied to the analysis of non-experimentally generated sample data. This includes diagnostic testing and model-specification analysis.

Course information

Prerequisites and Restrictions You must satisfy the following requirement(s):

pre-requisite

  • Analytics and Statistics for Business, QMET-204

or

pre-requisite

  • Biometrics, QMET-201

Available semesters Semester 1 2025
Credits 15
Domestic fees $841.00

What you will learn

After successfully completing this course, you¡¯ll be able to: 

  1. Explain the theory and practically apply the regression models used in applied economic and financial analyses.
  2. Estimate and draw inferences using single-equation linear regression models for both cross-sectional and time series data.
  3. Estimate and interpret the ceteris paribus effects of economic variables on a variable of interest in an econometric model.
  4. Be proficient in economic data analysis, and appreciate the strengths and limitations of econometric modelling.
  5. Apply econometric skills and understanding to basic empirical research, and to reading journal articles.

Course examiners

Baiding Hu

Associate Professor Baiding Hu

Head of Department

Department of Global Value Chains and Trade

baiding.hu@lincoln.ac.nz