Microeconometrics

This subject is not offered in 2013.

None

For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements for this entry.

The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/

The specification, estimation and testing of a range of models used to analyse microeconometric data is examined. The models to be considered may include discrete choice models, models for censored and truncated data, models of duration data, models with self-selectivity, models of count data and panel data.

On successful completion of this subject students should be able to:

• Identify microeconometric models appropriate for different types of survey data;
• Explain why and how standard techniques of estimations must be modified in a variety of microeconometric situations;
• Apply econometric techniques to test hypothesis in a variety of microeconometric models;
• Evaluate the robustness of results obtained from using econometric techniques on real world microeconometric data;
• Analyse results obtained from microeconometric data and explain their implications for economic theory.

A 2-hour end-of-semester examination (60%) and two class assignments of 2,500 words each due week 8 and week 12 of semester (40%).

This subject is not available as a breadth subject.

On successful completion of this subject, students should have improved the following generic skills:

• Evaluation of ideas, views and evidence
• Synthesis of ideas, views and evidence
• Strategic thinking
• Critical thinking
• Application of theory to economic policy and business decision making
• Accessing economic and other information
• Summary and interpretation of information
• Using computer programs
• Statistical reasoning
• Problem solving skills
• Collaborative learning and team work
• Written communication