Econometrics: Eviews and Risk Simulator Training Course

Introduction

General Econometrics Concepts for Government

• Understanding the foundational principles of econometrics
• Analyzing variables and measurement techniques
• Overview of probability and confidence levels
• Statistical inference and percentiles
• Theoretical probability distributions
• Significance testing and confidence interval methods
• Working with asymmetry in data
• Kurtosis analysis
• Analysis of variance (ANOVA)

Regression Analysis for Government

• Key concepts in regression analysis
• Understanding linear regression models
• Techniques for regression estimation
• Statistical inference in regression
• Evaluating statistical assumptions
• Identifying and testing assumption violations
• Addressing spurious regression
• Exploring various regression models
• Methods for transforming variables
• Interpreting regression coefficients
• Linear and non-linear regression approaches

Time Series Analysis for Government

• Components of time series data
• Different decomposition techniques
• Analyzing trends, cycles, and seasonality
• Conducting stationarity tests
• Interpreting graphical representations and correlograms
• Performing unit root tests
• Techniques for transforming non-stationary time series
• Understanding stationary processes
• Advanced transformations in model development
• Economic and time series forecasting methods

Neural Networks for Government

• Introduction to neural network concepts and methodologies
• Structure of neural networks
• Overview of machine learning techniques
• Differentiating supervised from unsupervised learning
• Comparing machine learning with econometric approaches

Financial Risk Modeling for Government

• Methods for measuring financial risks
• Assessing occurrence probabilities
• Understanding the coefficient of variation
• Techniques for risk-adjusted capital allocation

Markov Chain and Monte Carlo Simulation for Government

• Introduction to simulation concepts and models
• Fitting distributions and probability analysis
• Creating data profiles
• Analyzing random and outcome variables

Evaluating a Project for Government

• Establishing project selection criteria
• Understanding demand elasticity
• Assessing project economic feasibility
• Conducting risk breakeven analysis
• Interpreting net flow metrics
• Utilizing analytical tools and techniques
• Performing stress analysis on projects

Summary and Next Steps for Government