Enroll Course: https://www.udemy.com/course/eviews-i/
For anyone delving into the world of econometrics, mastering statistical software is paramount. The “EViews-Econometrics-Regression analysis” course on Udemy offers a robust and practical approach to learning EViews, a powerful tool for economic analysis. This course is meticulously designed to equip learners with the skills to estimate and run various economic models, making it a valuable asset for students and professionals alike.
The course begins with the fundamentals, covering different types of data and crucially, where to find reliable data sources. This is often a stumbling block for newcomers, and the instructor’s clear guidance on data citation and import into EViews is a significant benefit. A core component of time series analysis is stationarity, and the course thoroughly explains how to check for it, a vital step before proceeding with model estimation.
One of the most practical aspects of this course is its detailed walkthrough of Ordinary Least Squares (OLS) estimation and interpretation. It doesn’t just show you how to run OLS; it delves into the Assumptions of the Classical Linear Regression Model (CLRM), which is essential for understanding the validity of your results. The course also addresses common econometric issues like autocorrelation and heteroskedasticity, providing practical methods for detection and removal, often using the Jorque-Bera test for normality.
For those working with panel data, this course is a goldmine. It guides learners through converting time series data into panel data, estimating and interpreting various panel models including Fixed Effects, Random Effects, and the Hausman test to choose between them. Unit root testing for panel data, graphical representation, and cointegration tests like the Johansen cointegration test and panel cointegration tests are all covered. The inclusion of Pooled Mean Group, Cross-sectional second-generation stationarity tests, and understanding endogeneity/exogeneity in panel data further solidifies its comprehensive nature.
Advanced techniques are not neglected. The course covers the estimation and interpretation of the ARDL model, as well as robust methods like Dynamic OLS (DOLS) and Fully Modified OLS (FMOLS) for dealing with endogeneity. Furthermore, it introduces crucial tests for structural breaks, such as the Bai Peron test for multiple breaks, the Chow Test, and the Bry-Boschan Test, equipping learners to identify and analyze regime shifts in their data.
The instructor’s commitment to practical application is evident. Every step is not only discussed but demonstrated practically within EViews. This hands-on approach ensures that learners can confidently apply these techniques in their own research or professional work. The course also touches upon the ARCH and GARCH families, further expanding the toolkit for time series modeling.
In conclusion, the “EViews-Econometrics-Regression analysis” course is an outstanding resource for anyone serious about econometrics. Its sequential design, practical demonstrations, and comprehensive coverage of essential and advanced topics make it highly recommendable. Whether you’re a student needing to run regressions for your thesis or a professional analyst looking to enhance your modeling skills, this course will undoubtedly provide immense benefit to your career.
Enroll Course: https://www.udemy.com/course/eviews-i/