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Advanced Econometric Techniques (ECOM90005)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

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Semester 1
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This course is designed to introduce you to the mathematical underpinnings of the main tools used in empirical economics. Special emphasis will be given to three topics: models of probability, methods of estimation, and methods of inference. Simple mathematical analysis, in particular both differential and integral calculus as well as linear algebra, will be used extensively throughout the course. In an effort to bridge the gap between analytic, closed-form methods and numerical methods, you will also be introduced to a high-level matrix and programming language, Matlab, to provide you with a basis to solve problems which have no closed-form solutions.

Intended learning outcomes

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



  • Critically evaluate current econometric research published in the top ranking international economic and econometric journals;
  • Reproduce existing econometric research;
  • Identify the key arguments and strategies underlying current and existing econometric research.

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
  • Critical thinking
  • Application of software to write computer programs to perform a series of steps
  • Statistical reasoning
  • Problem solving skills
  • Written and oral communication

Last updated: 3 November 2022