- One Semester or equivalent
- 36 hours face to face + blended
On-campus unit delivery combines face-to-face and digital learning.
2023 teaching periods
Higher Ed. Semester 1
Last self enrolment:
Last withdraw without fail:
PrerequisitesStudents must contact the Unit Convenor before enrolling, to determine eligibility.
Aims and objectives
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.
Unit Learning Outcomes (ULO)
On successful completion of this unit students will be able to:
1. Apply coherent and advanced knowledge of casual econometric concepts such as endogeneity, confounding factors, selection and identification intuitively
2. Critically analyse econometric techniques for identifying and estimating casual effects
3. Specify, estimate and analyse casual relationships using state-of-the art econometric models using R or STATA
4. Provide a critical appreciation of empirical analysis in published reports and journal articles using the micro econometrics techniques discussed
5. Carry out empirical research using the microeconomic techniques and interpret the finding and discuss any technical limitation of the studies