Econometrics (ECO105)


This is an introductory course to econometrics with emphasis on its applications. Students learn how to conduct empirical studies, as well as how to analyze and interpret results from other empirical works. The emphasis is on gaining an intuitive understanding of the principles of econometric analysis and applying them to actual data. The main topics cover regression analysis including Ordinary Least Square, an introduction to panel data regression, dummy dependent variable model, introduction to time series, and simultaneous equations.

Course aim

Aim of the course is to introduce main empirical methods of economic data analysis and their theoretical foundations. 

Learning outcomes

  • Understand and apply basic concepts of data analysis into econometrics: descriptive statistics, sampling, estimation and hypothesis testing. 
  • Analyze and evaluate linear regression models: build econometric models, and understand main assumptions of the model. 
  • Use linear regression models for economic analysis: use suitable software, interpret regression results, conduct hypothesis testing, and evaluate the model.
  • Understand and apply probit/logit model for economic analysis. 
  • Understand and apply time series regression for economic analysis. 
  • Understand and apply panel data for economic analysis. 
  • Understand and apply simultaneous equations for economic analysis.