EViews-Econometrics-Regression analysis

Theory and Application of Econometrics: Derivations and Hypothesis Testing
4.63 (161 reviews)
Udemy
platform
English
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Social Science
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EViews-Econometrics-Regression analysis
2 416
students
13 hours
content
Jan 2025
last update
$29.99
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Why take this course?

🚀 Mastering EViews for Econometrics and Regression Analysis 📊

Course Description:

Welcome to the comprehensive guide on mastering EViews for Economic data analysis, regression modeling, and econometric applications! This course is meticulously designed to take you through the intricacies of EViews, from understanding the fundamentals of data types to the advanced techniques of regression analysis. By the end of this journey, you will be equipped with the skills necessary to estimate, run, and interpret various models using EViews with confidence.

What You Will Learn:

  • Types of Data: Get familiar with the different types of data in economics and their significance in model estimation.

    • Time Series Data
    • Cross-Sectional Data
    • Panel Data
  • Data Sources & Citations: Discover the key sites for reliable economic data citations to support your analysis.

  • Data Importation in EViews: Learn the step-by-step process of importing data into EViews, ensuring your dataset is ready for analysis.

  • Stationarity Checks: Understand the concept of stationarity and how to check if your time series data adheres to this assumption.

  • Data Transformation: Master the art of converting time series data into panel data, enabling more complex analyses.

  • Estimating & Interpreting OLS: Dive deep into Ordinary Least Squares (OLS) regression, including its assumptions and how to interpret results.

  • Diagnostic Testing: Detect and remove autocorrelation, heteroskedasticity, and issues of normality using Jorque Bera test.

  • Cointegration Analysis: Explore the Johansen cointegration test to determine if variables are cointegrated.

  • ARDL Model Estimation: Learn how to estimate an ARDL (Autoregressive Distributed Lag) model and interpret its findings.

  • Advanced Topics: Delve into ARCH (Autoregressive Conditional Heteroskedasticity) and GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models to understand time series volatility clustering.

Purpose of the Course:

This course is tailored to provide you with a solid foundation in estimating various economic models using EViews. The lectures are carefully sequenced, each building upon the last, and are complemented by quizzes and assignments that will reinforce your understanding and help you apply these skills in real-world scenarios.

Data Acquisition & Analysis:

We'll cover the best practices for downloading economic data from reputable sources and how to import and manipulate this data within EViews. You'll learn not only the theoretical aspects but also practical techniques that are essential for a professional career in economics.

Advanced Statistical Techniques:

From discussing the assumptions of the Classical Linear Regression Model (CLRM) both mathematically and practically using EViews, to understanding cointegration and ARDL models, this course will empower you with advanced statistical tools and techniques.

Dummy Variables & Panel Data:

Learn how to create dummy variables within EViews and handle panel data to enrich your regression analysis. These skills are crucial for capturing fixed and random effects in your models.

Why Take This Course?

This course is designed to ensure that by the end of it, you will not only have a deep understanding of EViews and its applications in econometrics but also be able to run and interpret models with confidence. Whether you're a student, researcher, or professional looking to enhance your skill set, this course offers a wealth of knowledge that will undoubtedly benefit your professional journey.

🎓 Enroll Now & Transform Your Economic Data Analysis Skills with EViews! 🎓

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4450704
udemy ID
18/12/2021
course created date
20/12/2021
course indexed date
Angelcrc Seven
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