This course involves on campus teaching. For students unable to come to campus there will be a remote option. See the Class Summary for more details.
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.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- explain features of commonly used data types and sampling schemes.
- explain major types of empirical research and main aspects of empirical strategies.
- explain major econometric techniques for causal identification.
- demonstrate an appreciation of econometric research and journal articles.
- critically discuss the detailed empirical strategies of journal articles.
- use statistical software for data management and analysis.
Indicative Assessment
- Assignments, mid semester exam, final exam (100) [LO 1,2,3,4,5,6]
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.
Workload
Students are expected to spend a minimum of 10 hours of study per week for the course, including three hours lecture and one tutorial per week.
Inherent Requirements
Not applicable
Requisite and Incompatibility
You will need to contact the Research School of Economics to request a permission code to enrol in this course.
Prescribed Texts
See Class Summary and Wattle site.
Specialisations
Fees
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- 34
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2022 | $4440 |
- International fee paying students
| Year | Fee |
|---|---|
| 2022 | $5700 |
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.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 2838 | 21 Feb 2022 | 28 Feb 2022 | 31 Mar 2022 | 27 May 2022 | In Person | View |
Second Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 7451 | 25 Jul 2022 | 01 Aug 2022 | 31 Aug 2022 | 28 Oct 2022 | In Person | View |
