This unit aims to give the students a solid foundation in the application of advanced econometrics analysis for conducting empirical research using micro-data. It will focus on the use of non-structural empirical models to identify, estimate, and interpret casual relationships as revealed by observational data. It will illustrate the application of the techniques using worked examples taken from real work micro econometric studies in the recent literature. It will provide students with practical skills to conduct applied econometrics using software such as R and STATA.


Teaching periods
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date

Learning outcomes

Students who successfully complete this unit will be able to:

  • Apply coherent and advanced knowledge of casual econometric concepts such as endogeneity, confounding factors, selection and identification intuitively
  • Critically analyse econometric techniques for identifying and estimating casual effects
  • Specify, estimate and analyse casual relationships using state-of-the art econometric models using R or STATA
  • Provide a critical appreciation of empirical analysis in published reports and journal articles using the micro econometrics techniques discussed
  • Carry out empirical research using the microeconomic techniques and interpret the finding and discuss any technical limitation of the studies

Teaching methods


Type Hours per week Number of weeks Total (number of hours)
Face to Face Contact (Phasing out)
3.00 12 weeks 36
Directed Online Learning and Independent Learning
1.00 12 weeks 12
Unspecified Learning Activities (Phasing out)
Independent Learning
8.50 12 weeks 102


Type Task Weighting ULO's
Journal and ReviewIndividual 10 - 20% 1,2,4 
Journal and ReviewIndividual 10 - 20% 1,2,4 
Journal and ReviewIndividual 10 - 20% 1,2,4 
Journal and ReviewIndividual 10 - 20% 1,2,4 
Journal and ReviewIndividual 10 - 20% 1,2,4 
ProjectIndividual 30 - 50% 1,2,3,4,5 


  • Introdu ction to basic concepts
  • Review of Regression analysis
  • Regression and Causality
  • Regression Discontinuity 
    • Sharp RD
    • Fuzzy RD
  • Panel Data
    • Fixed Effect
    • Differences-in-differences
    • Lagged Dependant variables
  • Intrumental Variables
    • IV, exclusion restriction and causality
    • Two-stage least squares (2SLS)
    • LATE

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.