This course provides the student to explain and recognize the statistical problems and to analyze the data series. Variance Analysis and Simple Regression. The purpose of ECO 321 - 322 sequence is to present a systematic treatment of mathematical economics which would emphasize the unifying structure of economic theory and mathematical methods involved in modern economic theory. It is hoped that students in economics will recognize the importance of the analytical approach to economics and become familiar with basic and powerful mathematical tools. The courses are not an exposition of elementary calculus with applications to economic problems, rather they are the courses on economic problems using mathematical tools to aid in the analysis.
Topics are static analysis, comparative static analysis and unconstraint optimization.
Mathematical Economics II A continuation of ECO 321. Topics include constraint optimization, nonlinear programming, linear programming and an introduction to dynamic analysis. I Econometrics consists of application of mathematical and statistical principles in the evaluation of economic theories The purpose of this courses is to assess multivariate regression models with economic applications and also the cases in which the classical linear regression model assumptions break down. Topics are Multiple Regression Model, Assumptions, Estimations, Testing and Problems, Instrumental Variables. Time Series Modeling.