Econometrics with R Studio
The aim of this course is to first introduce the participants to the “R” package and the “RStudio” environment and to the commonly used packages. Thereafter, the course shall explore application of “RStudio” for Econometric Analysis. The course shall replicate the book entitled “Principles of Econometrics” by R. Carter Hill, William E. Griffiths, Guay C. Lim. Generally, the focus shall be on simple linear regression models; interval estimation and hypothesis testing; Prediction, R-squared, and Modeling; The Multiple Regression Model; Using indicator variables; time-series models, VARs and VECMs; Qualitative and limited dependent models, among others. Where applicable, appropriate diagnostics shall be conducted: e.g. checking for linearity, normality, homoscedasticity, model specification and multicollinearity. “Principles of Econometrics” clearly shows why econometrics is necessary and provides you with the ability to utilize basic econometric tools. You’ll learn how to apply these tools to estimation, inference, and forecasting in the context of real world economic problems. In order to make concepts more accessible, the authors offer lucid descriptions of techniques as well as appropriate applications to today’s situations. Along the way, you’ll find introductions to simple economic models and questions to enhance critical thinking. Since the course is an application of Rstudio to the “Principles of Econometrics” book, the latter can always be used as a theoretical reference material.
*  Specify, estimate and interpret a simple linear regression model; *  Conduct Interval Estimation and Hypothesis Testing; *  Specify, estimate and interpret a multiple regression model; *  Carry out time series econometric modelling; *  Carry out panel data econometric modelling; *  Specify, estimate and interpret models with categorical predictors and their possible interactions; *  Specify, estimate and interpret Qualitative and limited dependent models; *  Conduct diagnostic tests and explore some of the possible solutions for dealing with cases where OLS assumptions are violated: e.g. using robust regression methods; *  Tackle any other topics included in the book “Principles of Econometrics” by R. Carter Hill, William E. Griffiths, Guay C. Lim.
✓  Researchers ✓  Professionals ✓  Economists ✓  Graduate students
✓  Knowledge of Statistics and econometrics ✓  Have an introductory basics of R package and RStudio ✓  Have a good laptop