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Course : Contemporary Economic Issues
Credits : 3
Course Code: EE406
Course level : Undergraduate
Semester: 1
Course Description :
EE406 is a general introduction to the subject matter and methods of economics, through the investigation of specific contemporary economic issues such as economic growth, inequality, poverty, and environmental deterioration.
Course : Microeconomics Analysis
Credits : 3
Course Code: EE411
Course level : Undergraduate
Semester: 1
Course Description :
Study of microeconomic theory with an emphasis on utilizing mathematical tools to analyze various economic issues, such as consumer behavior, revealed preferences, intertemporal consumption, consumption and risk, and theory of production and cost. Topics covered also include market structures and behavior, game theory, factor markets, general equilibrium and welfare economics, and impacts of externalities, public goods, and asymmetric information on level of welfare.
Prerequisite: Prerequisites: EE311 and EE320 (or EE421)
Course : Mathematical Economics 2
Credits : 3
Course Code: EE422
Course level : Undergraduate
Semester: 1
Course Description :
The application of mathematical tools including integral calculus, differential equations, difference equations, phase diagram and dynamic optimization such as optimal control theory and dynamic programming for explaining dynamic economic phenomena as well as for locating time path and stability of variables in the context of both microeconomics and macroeconomics.
Prerequisite: Prerequisites: EE421 and having completed or currently taking EE312
Course : Econometrics 1
Credits : 3
Course Code: EE425
Course level : Undergraduate
Semester: 1
Course Description :
Applying statistical methods and economic theories to analyze economic data, including simple and multiple regressions; estimation using the ordinary least squares (OLS) hypothesis testing; and dummy variable. This course also examines various problems in regression models, including Multicollinearity, Heteroscedasticity, Autocorrelation, Specification Error, Stochastic Regressors; and some advanced topics in regression method such as Generalized Least Squares (GLS) estimation, System of regressions and Seemingly Unrelated Regression (SUR), Simultaneous Equation System and solving Endogeneity problem with instrumental variables. Trainings in econometrics softwares.
Prerequisite: Prerequisite(s): EE211 (or EE213), EE212 (or EE214), MA216 (or MA211) and ST216 (or ST211)