Econometrics (STAT 402)

The course contains a various topics and techniques of Data Analysis using statistical software. It starts briefly with statistical description and representation topics, and then moves widely to statistical inference. It covers important topics that are commonly used in real-life applications, specifically Calculation of the estimated parameters of the regression model (simple and multiple), Confidence Intervals, Hypotheses Testing, Sum of Squares (Regression, Error and Total), Problems of regression model (Multicollinearity, Heteroscedasticity, Autocorrelation and Equations-errors in variables), Simultaneous-equations methods and Time series models.

Students after completing the course will have:

• Give students theoretical and practical background on the use of statistical models in the econometrics.
• Student knows how to build or construct the economic model and economic relations
• Discuss the concept of dummy variables and general form of multi-regression model
• Econometrics problems and how to remedy it
• Understanding how to select the best methods to analysis data by using software R
• Ability to give right interpretations of statistical results
• The skills to prepare and write statistical reports
• Gain some advantages: self-confidence, Responsibility, Respect the other ideas, discussion, discussion in groups and Leadership