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B.Sc. DegreeFaculty of Faculty of Social Sciences & MediaEconomics
Introduction to Econometrics (BSc)
Master Introduction to Econometrics (BSc) in University - Economics with this structured course, covering 8 modules and practice assessments.
Course Overview
Master Introduction to Econometrics (BSc) in University - Economics with this structured course, covering 8 modules and practice assessments. Curriculum Structure & Core Modules: • 1. Nature, Scope, and Methodology of Econometrics; The CLRM & Two-Variable OLS • 2. Multiple...
What You'll Learn
- Understand and apply the principles of Nature and Scope of Econometrics (BSc)
- Work confidently through The Classical Linear Regression Model and its practical applications
- Analyse real-world scenarios involving Estimation by Ordinary Least Squares
- Develop applied skills in Hypothesis Testing in Regression
- Critically evaluate approaches to Multiple Regression Analysis (BSc)
Requirements
- A foundational understanding of University - Economics concepts, from an introductory course or equivalent experience
- A computer, tablet or smartphone with a stable internet connection
- Willingness to commit regular study time to complete lessons, quizzes and assignments
Degree Programme Curriculum Context
This course is a curriculum unit of the B.Sc. Economics degree framework in Nigeria.
Earn Your Certificate
Showcase your skills with a certificate! Complete the course, submit your project, and earn your certificate. Here's a sample of what you'll receive to show off your accomplishments.
Course Curriculum
Open-access academic curriculum. All foundational lectures available to read free.
8 Chapters
•24 Lecture
•18h
1. Definition, Scope, and Scientific Methodology of Econometric Modeling
NUC CCMAS Benchmark: ECO 303 | 300L Economics Definition, Scope, and Scientific Methodology of Econometric Modeling Epistemological foundations of econometrics, deterministic versus stochastic relationships, structural model formulation, econometric methodology cycle, and validation criteria. 1. Theoretical Foundation & Conceptual Architecture Econometrics constitutes the rigorous integration of e...
45 minutes
2. Two-Variable Classical Linear Regression Model (CLRM) & Ordinary Least Squares (OLS) Mechanics
NUC CCMAS Benchmark: ECO 303 | 300L Economics Two-Variable Classical Linear Regression Model (CLRM) & Ordinary Least Squares (OLS) Mechanics Population regression function, sample regression function, residual sum of squares minimization, derivation of normal equations, and algebraic properties of OLS estimators. 1. Theoretical Foundation & Conceptual Architecture The two-variable Classical Linear...
45 minutes
3. Properties of OLS Estimators, Gauss-Markov Theorem & BLUE Properties in Simple Regression
NUC CCMAS Benchmark: ECO 303 | 300L Economics Properties of OLS Estimators, Gauss-Markov Theorem & BLUE Properties in Simple Regression Assumptions of the classical linear regression model, proof of linearity and unbiasedness, variance of OLS estimators, and the Gauss-Markov proof of efficiency. 1. Theoretical Foundation & Conceptual Architecture The statistical validity and normative desirability...
45 minutes
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Instructor
PAMCET Learning Team
Institutional Course Curation · PAMCET
Qualifications:
PAMCET Learning Team — Institutional Course Curation, Digitpen Hub LtdMy Skills:
- Curriculum Curation
- Course Content Review
- Learning Outcome Design
- Course Publishing & Quality Assurance
- Platform Content Operations
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Free$24.99100% Off
Certificate available separately for $50 after completionCourse Includes
8 Chapters
24 Lectures
2 - 4 weeks
Skill Level intermediate
Taught in English
Lifetime Access
Certification of Completion
Category: University - Economics
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