- Code EMET8001
- Unit Value 6 units
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:
- 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.
- Assignments, midsession exam, final exam. (100) [LO 1,2,3,4,5,6]
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.
Requisite and Incompatibility
See Class Summary and Wattle site.
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
Offerings, Dates and Class Summary Links
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|
|3716||22 Feb 2021||01 Mar 2021||31 Mar 2021||28 May 2021||In Person||N/A|