Macro-econometric Modeling And Forecasting Using E-views Training Course

INTRODUCTION

Macro-econometric modeling and forecasting course is designed to provide participants with a comprehensive understanding of the principles and techniques involved in analyzing and forecasting macroeconomic variables.

How you benefit

At the end of this course, participants will learn:

• Understand the principles of macroeconomic analysis and its relationship with econometric modeling.
• Develop proficiency in using EViews software for econometric analysis and forecasting.
• Gain knowledge of different types of econometric models used in macroeconomics, such as ARIMA, VAR, and VECM.
• Learn techniques for data collection, cleaning, and preparation for econometric analysis.
• Acquire skills in model specification, including choosing appropriate variables and model selection criteria.
• Understand estimation techniques for econometric models and interpret the results.
• Learn to diagnose and address common issues in econometric models, such as heteroscedasticity and autocorrelation.
• Develop proficiency in time series analysis and forecasting methods using EViews.
• Gain insights into policy analysis and simulation using macro-econometric models.
• Explore advanced topics in macro-econometric modeling, such as multivariate time series analysis and handling structural breaks.

Who should attend

• Econometricians
• Financial Analysts
• Policy Makers
• Researchers and Analyst

DURATION

10 Days

COURSE CONTENT

MODULE 1: INTRODUCTION TO MACRO-ECONOMETRIC MODELING

• Overview of macroeconomics and econometric modeling

•  Introduction to EViews software and its features for econometric analysis

MODULE 2: DATA COLLECTION AND PREPARATION

• Gathering macroeconomic data from various sources

• Data cleaning, handling missing values, and transforming variables

MODULE 3: TIME SERIES ANALYSIS

• Review of basic time series concepts and techniques

• Identification of trends, seasonality, and stationarity

•  Time series decomposition and modeling

MODULE 4: ECONOMETRIC MODEL SPECIFICATION

• Introduction to different types of econometric models (e.g., ARIMA, VAR, VECM)

•  Model selection criteria and techniques

•  Hypothesis testing and model diagnostics

MODULE 5: ESTIMATION AND INFERENCE

•  Estimation techniques for econometric models using EViews

•   Interpretation of coefficient estimates and statistical significance

•   Assessing model fit and goodness of fit measures

MODULE 6: FORECASTING

•   Time series forecasting methods and techniques

•    Evaluating forecast accuracy and performance metrics

•    Forecasting with exogenous variables and scenario analysis

MODULE 7: POLICY ANALYSIS AND SIMULATION

•  Conducting policy experiments and simulations using macro-econometric models

•   Interpreting and analyzing policy implications and outcomes

Prerequisites:

• Strong foundation in macroeconomic theory and analysis
• Proficiency in mathematical and statistical techniques used in advanced macroeconomics
• Prior exposure to DSGE models and other advanced economic modeling frameworks

Key Notes

a. The participant must be conversant with English.

b. Course duration is flexible and the contents can be modified to fit any number of days.

c. One-year post-training support Consultation and Coaching provided after the course.

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