- Code EMET8001
- Unit Value 6 units
- Offered by Research School of Economics
- ANU College ANU College of Business and Economics
- Course subject Econometrics
- Areas of interest Econometrics
- Academic career PGRD
- Kailing Shen
- Mode of delivery In Person
- Co-taught Course
First Semester 2018
See Future Offerings
The overall aim of the course is to introduce students to the practical application of micro-econometric methods. Micro-econometrics is concerned mainly with the analysis of crosssectional and short panel data from individuals, households, firms, regions etc. (Macro-econometrics is concerned mainly with analysing economic time series and long panel data from one or more countries.) The course goes beyond the linear regression models used to estimate simple associations between dependent and independent variables. It covers nonlinear models used to analyse for example discrete and censored dependent variables, and it covers estimation of causal effects as opposed to associations. The necessary econometric theory will be covered/reviewed and numerous applications will be discussed. In addition, practical aspects of data analysis will be discussed using the software Stata.
Upon successful completion, students will have the knowledge and skills to:Upon completion of the course, the students will know:
- Explain the principles and purpose of Monte Carlo simulation methods.
- Explain parametric and nonparametric curve fitting methods.
- Explain econometric concepts such as causality, endogeneity, confounding factors, selection, and simultaneity.
- Explain econometric techniques for estimating causal effects.
- Appreciate econometric research and journal articles using the techniques discussed.
- Investigate the properties of econometric techniques using Monte Carlo simulation.
- Identify issues and problems (such as endogeneity) in empirical applications which may affect the analysis or the interpretation of estimates and tests.
- Use Stata to manage and analyse data.
- Carry out an empirical analysis of data using the econometric techniques discussed.
- Interpret the findings in an empirical analysis, and discuss caveats and potential problems.
Indicative AssessmentAssignments, midsession exam, final exam. From weighting see course outline RSE web site.
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
WorkloadFour contact hours per week (three-hour lectures and one tutorial) plus private study time
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
- Domestic fee paying students
- International fee paying students
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|3691||19 Feb 2018||27 Feb 2018||31 Mar 2018||25 May 2018||In Person||N/A|