Computational Economics and Business

This subject covers the application of computer based techniques to solve the problems encountered in economics and business. The techniques covered include the construction and use of hierarchical data sets, the use of multivariate graphics and statistics in the context of data mining applications, the elements of computer simulations, and the application of linear programming for the analysis of productivity in the context of data envelopment analysis. One aspect of this subject is the introduction of students to different software options. Possible software to be considered will be SAS, Stata, GAUSS, SPSS, TSP, EMS, Scientific Word, and Eviews .

• 1Construct data summaries and visualizations from hierarchical data series as found when working with surveys and scanner data
• 2Generate interactive graphic representations of data
• 3Use Input-Output tables to predict economic impacts
• 4Predict population age distribution changes
• 5Use linear programming to solve economic optimization problems
• 6Measure the productive efficiency of firms using Data Envelopment Analysis
• 7Use simulation of random processes to evaluate an economic model
• 8Employ software to solve complex algebraic problems