Complete Econometrics Syllabus Breakdown
Our syllabus coverage is meticulously designed to ensure no topic is left untouched. We break down complex econometrics concepts into manageable modules for systematic learning.
Core Topics Covered:
- Nature and Scope of Econometrics
- Economic vs. Mathematical vs. Statistical Relationships
- Steps in Econometric Analysis
- Types of Data: Cross-sectional, Time Series, Panel
- Probability and Statistical Foundations
Core Topics Covered:
- Classical Linear Regression Model (CLRM) Assumptions
- Ordinary Least Squares (OLS) Estimation
- Properties of OLS Estimators
- Gauss-Markov Theorem and Proof
- Goodness of Fit: R², Adjusted R²
- Hypothesis Testing: t-test, F-test
Core Topics Covered:
- Heteroscedasticity: Causes, Consequences, Detection (Park, Glejser, White, Goldfeld-Quandt tests), Remedies (GLS, WLS)
- Autocorrelation: Durbin-Watson test, Breusch-Godfrey test, Remedial Measures
- Multicollinearity: Detection (VIF, Tolerance), Consequences, Remedial Measures
- Specification Errors: Omitted Variable, Irrelevant Variable, Functional Form
Core Topics Covered:
- Dummy Variable Models: ANOVA and ANCOVA Models
- Qualitative Response Models: Logit, Probit, Tobit
- Instrumental Variables (IV) Estimation
- Simultaneous Equation Models: Identification Problem, ILS, 2SLS
- Distributed Lag Models: Koyck, Almon, Adaptive Expectations
Core Topics Covered:
- Stationary vs. Non-stationary Time Series
- Unit Root Tests: Dickey-Fuller, Augmented Dickey-Fuller
- Cointegration: Engle-Granger Test, Error Correction Models
- ARCH and GARCH Models for Volatility
- VAR Models and Granger Causality
Core Topics Covered:
- Pooled OLS, Fixed Effects, Random Effects Models
- Hausman Test for Model Selection
- Dynamic Panel Data Models
- Practical Applications with Software (Stata/R/EViews)
- Interpretation of Software Output
Sourav Sir's Teaching Methodology
Our teaching approach is designed to transform complex econometrics concepts into easily understandable and applicable knowledge through a structured 5-step methodology.
Conceptual Foundation
We begin with building strong intuitive understanding before mathematical formulations. Real-world examples make abstract concepts tangible.
Software Integration
Hands-on training with Stata, R, and EViews. Students learn to apply theoretical knowledge to actual data analysis from day one.
Structured Practice
Weekly assignments, chapter-wise tests, and problem-solving sessions ensure regular practice and concept reinforcement.
Exam-Oriented Training
Regular mock tests, previous year paper analysis, and time management strategies tailored to specific university patterns.
Personalized Doubt Resolution
One-on-one doubt sessions, WhatsApp support groups, and personalized feedback on assignments and tests.
How Sourav Sir's Classes Help Students Excel
We provide comprehensive support that goes beyond traditional classroom teaching to ensure every student achieves their maximum potential.
Personalized Learning Plans
We assess each student's strengths and weaknesses to create customized study plans. Weekly progress tracking ensures consistent improvement.
Comprehensive Study Material
Detailed notes, formula sheets, solved university papers, and topic-wise question banks. All material is regularly updated according to syllabus changes.
Regular Assessment & Feedback
Weekly tests, monthly comprehensive exams, and detailed performance analysis reports with actionable feedback for improvement.
Software Training Integration
Practical sessions on econometric software with real datasets. Students learn to interpret software output and present results professionally.
Answer Writing Workshops
Specialized training on how to structure answers, present derivations, include diagrams, and maximize marks in theoretical and numerical questions.
24/7 Academic Support
Doubt resolution via WhatsApp, email, and dedicated discussion forums. Quick response time ensures no student gets stuck on any concept.
Proven Strategies to Score High in Econometrics
Our students consistently achieve top scores by following these evidence-based strategies developed over 15+ years of teaching experience.
- Step-by-step derivations: Never skip steps in mathematical proofs
- Clear labeling: Label all diagrams, axes, and equations properly
- Theory + Application: Always include real-world examples with theoretical answers
- Time allocation: Divide time according to marks weightage
- Highlighting key points: Use underlining or bullet points for important conclusions
- 15-minute reading: Carefully read the entire paper before starting
- Question selection: Start with your strongest sections
- Section-wise timing: Allocate specific time for each section
- Last 15 minutes: Reserve for review and corrections
- Numerical shortcuts: Learn time-saving calculation methods
- Confusing similar tests (e.g., Durbin-Watson vs. Breusch-Godfrey)
- Applying wrong formulas due to misidentifying problem type
- Forgetting to check assumptions before applying tests
- Incorrect interpretation of software output
- Incomplete answers without proper conclusions
Connect with Sourav Sir's Classes
Begin your journey to econometrics excellence. Get personalized guidance and join our success community today.
Call/WhatsApp
+91 98367 93076
Available: 10AM - 8PM (Mon-Sun)
Website
www.souravsirclasses.com
Complete course details & registration
souravsirclasses@gmail.com
Response within 24 hours