Course Outline:

Module 1: Introduction to Econometrics and OxMetrics 8

• Overview of econometric concepts and modeling techniques
• Introduction to OxMetrics 8: features, interface, and functionalities
• Importing and managing data in OxMetrics 8
• Practical Exercise: Setting up a project and importing datasets

Module 2: Basic Econometric Techniques

• Understanding linear regression models and assumptions
• Estimating models using Ordinary Least Squares (OLS)
• Conducting hypothesis testing and interpreting regression results
• Practical Exercise: Building and estimating a simple linear regression model in OxMetrics 8

Module 3: Time Series Analysis

• Characteristics of time series data and its implications for modeling
• Conducting unit root tests and examining stationarity
• Estimating ARIMA models for forecasting time series data
• Case Study: Forecasting economic indicators using time series analysis in OxMetrics 8
• Practical Exercise: Implementing ARIMA models on real-world datasets

Module 4: Advanced Econometric Methods

• Exploring multivariate regression and simultaneous equations models
• Conducting cointegration analysis and error correction models (ECM)
• Implementing Generalized Method of Moments (GMM) estimation
• Practical Exercise: Estimating a cointegrated model in OxMetrics 8

Module 5: Model Evaluation and Application

• Evaluating model performance and conducting diagnostics
• Applying econometric models to policy analysis and forecasting
• Real-life Project: Developing an econometric model for a specific research question and presenting findings