Overview of macroeconomics: key concepts, variables, and relationships

Introduction to econometrics: the role of econometrics in macroeconomics

Basic statistical concepts: probability, distribution, hypothesis testing

Descriptive Statistics and Graphical Analysis

Simple and multiple linear regression

Assumptions of regression models

Diagnostic tests and model validation

Time series concepts and components

Stationarity and unit root tests

Building ARIMA models

Model selection and diagnostics

Forecasting with ARIMA models

Introduction to advanced econometric models such as Generalized Method of Moments (GMM) and Panel Data Models

Multivariate time series analysis

Handling structural breaks in econometric models

Cointegration and Error Correction Models

Vector Autoregression (VAR) Models

Estimation techniques for econometric models using EViews

Interpretation of coefficient estimates and statistical significance

Assessing model fit and goodness of fit measures

Granger causality tests

Basics of Structural Equation Modeling (SEM)

Policy simulation and analysis

Evaluating forecast accuracy and performance metrics

Forecasting with exogenous variables and scenario analysis

Scenario analysis and stress testing

Practical examples and case studies