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Microeconometrics (ECOM90008)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Year of offer2018
Subject levelGraduate coursework
Subject codeECOM90008
Semester 2
FeesSubject EFTSL, Level, Discipline & Census Date

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.

Intended learning outcomes

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.

Generic skills

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

Last updated: 11 January 2018