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  3. Computational Economics

Computational Economics (ECON90055)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

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Semester 1
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This course is an advanced introduction to computational methods for economists, methods that increasingly play an essential role in applied economic research. Students will learn to formulate and to solve structural economic models and to apply these methods to substantive issues in econometrics, industrial organisation, labour economics, and macroeconomics. The course emphasises both theoretical knowledge of computational methods and practical skills. Programming will be done in MATLAB.

Intended learning outcomes

By the end of this course, students will have received a detailed introduction to:




  • MATLAB and its Toolboxes;
  • Algorithmic evaluation;
  • Computational linear algebra;
  • Numerical techniques for unconstrained optimisation;
  • Numerical techniques for solving systems of nonlinear equations;
  • Approximation methods;
  • Numerical integration (quadrature and Monte Carlo simulation methods);
  • Numerical techniques for constrained optimisation; and
  • Numerical dynamic programming.

Generic skills

  • High level of development: problem solving; collaborative learning; team work; application of theory to practice; use of computer software; interpretation and analysis; critical thinking.
  • Moderate level of development: written communication; evaluation of data and other information; statistical reasoning; receptiveness to alternative ideas.
  • Some level of development: oral communication; synthesis of data and other information; accessing data and other information from a range of sources.

Last updated: 3 November 2022