Applied Statistics
The purpose of this course is to provide you with a strong background in statistical principles. This course develops ideas for hepling to make decisions using fundamental
statistical methods, including descriptive statistics, probability distribution, hypothesis testing, conditional expectation and liner regression. We will focus on various applications
throughout the semester with strong emphasis on date analysis.
ECON6001
Applied Econometrics
General Information
This course examines how practical problems can be solved by using econometric methods. The emphasis is on the analysis of real world economic data using advanced statistical software. Topics include: estimation and testing of linear regression models, regression diagnostics, robust estimation, bootstrap, panel data, nonlinear least squares, discrete choice models and forecasting methods.
Econometrics I (EKU 2105)
Description
The course discusses basic econometric theories and methods of economic research with special reference to basic concepts of econometric methods and classical assumptions.
Topics
Topics covered include dummy and limited dependent variables, statistical methods in testing and estimating economic models, and practical applications of cross-section data.
Objectives
Provide students with understanding and aptitude to analyze economic problems by means of econometric approaches.
Econometric II (EKU 3106)
Description
The course examine further on the fundamentals of econometric theories and methods of economic research..
Topics
Applied regression analysis, specification and estimation of economic models, hypothesis testing, interpretation of results, policy implications, problems from violating classical regression model assumptions, estimating production error, variance, seasonal adjustments, pooling of time-series data, lagged variables, and auto-correlation.
Objectives
Provide students with the ability to understand and analyze economic behaviors using econometric models, particularly dynamic models, simultaneous equation models, and data panels.