Econometrics

About Econometrics

By using statistical techniques on economic data, econometrics aims to provide economic connections with an empirical foundation. This quantifies economic phenomena using statistical inference, algebra, and economic theory. In other words, it transforms theoretical economic models into practical instruments for determining economic policy.

Econometrics enables effective model building for economics and better understanding of the underlying data for economists. Econometrics has gained immense popularity across the globe resulting in huge demand for certified professionals.

Why is Econometrics important?

Economists can translate economic ideas into quantitative indicators using econometrics. Econometrics is essential for identifying patterns in different datasets. Economists can also predict upcoming monetary or economic trends based on current tendencies. Additionally, it aids in extracting a certain pattern or outcome from jumbled data.

Econometrics provides better analysis and model building in effective  manner for economists. Econometrics certified professionals, executives and managers are in high demand in companies across the globe.

Who should take the Econometrics Exam?

• Statisticians
• Research Consultant
• A principal or Managing Economist
• Economist
• Those who are studying Econometrics at university or college and would like some assistance understanding it. 

Knowledge and Skills required for the Econometrics

Critical thinking and communication skills helps candidate to gain quick success for career in econometrics.

Econometrics Practice Exam Objectives

Econometrics exam focuses on assessing your skills and knowledge in statistics and economics.

Econometrics Practice Exam Pre-requisite

There are no prerequisites for the Econometrics exam. Candidates who are well versed  in statistics and economics can easily clear the exam.

Econometrics Certification Course Outline

1. Simple Linear Regression
2. Intuition of Hypothesis Testing & OLS Formula
3. Estimator Bias
4. Causes of Bias
5. Estimator Variance
6. OLS Decomposition Derivation
7. OLS Estimators are Unbiased 
8. Gauss Markov Theorem & Assumptions 
9. OLS Estimator Variance
10. Matrix Notation
11. Gauss-Markov Assumptions
12. OLS is Unbiased
13. OLS Estimator Variance
14. The intuition of the Two Methods for Hypothesis Testing
15. Notation
16. RSS Method
17. Wald Method
18. Single Linear Restriction
19. Variable Misspecification Introduction
20. Variable Misspecification Matrix Notation
21. Variable Misspecification: Exclusion of a Relevant Variable
22. Variable Misspecifcation: Inclusion of an Irrelevant Variable
23. Multicollinearity
24. Heteroskedasticity

Exam Format and Information

Certification name – Certificate in Econometrics
Exam duration – 60 minutes
Exam type - Multiple Choice Questions
Eligibility / pre-requisite - None
Exam language - English
Exam format - Online
Passing score - 25
Exam Fees  - INR 1199