This 5-day course is designed to equip participants with the tools and techniques needed to conduct econometric analysis of panel data using EViews. Panel data combines time series and cross-sectional dimensions, providing a powerful framework for analyzing behaviors over time. The course covers topics such as fixed and random effects models, dynamic panel data models, and testing for heterogeneity and autocorrelation. Participants will learn to manage and analyze panel data, interpret model outputs, and apply these techniques to real-world data.
Comprehensive Coverage: From basics to advanced techniques in panel data econometrics.
Hands-On Training: Practical exercises using EViews software.
Expert Instructors: Learn from seasoned professionals with extensive experience.
Real-World Applications: Apply concepts to actual economic, financial, and policy-related datasets.
Economists
Financial Analysts
Policy Analysts
Researchers
Statisticians
Data Scientists
Professionals involved in panel data analysis
Fixed and Random Effects Models: Understand and estimate these models using EViews.
Dynamic Panel Data Models: Learn techniques like system GMM.
Diagnostic Tests: Test for heterogeneity, autocorrelation, and other issues in panel data.
Real-Life Projects: Develop and interpret panel data models using organizational data.
Enhance your ability to work with complex datasets that involve both time series and cross-sectional components. Gain practical experience in analyzing and interpreting panel data results, which can significantly improve decision-making processes in your organization
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