Econometrics Tutor in CR Park – The tutor will assist in understanding key econometric concepts, statistical methods, and data analysis techniques used in economics. The ideal candidate should have a strong background in economics, statistics, and mathematics, along with experience using econometric software such as Stats, R, Python, or E Views.
Econometrics Tutor in CR Park
Responsibilities
- Provide one-on-one or group tutoring sessions to students in econometrics.
- Explain complex statistical and economic concepts in an accessible manner.
- Assist with assignments, research projects, and exam preparation.
- Teach statistical techniques such as regression analysis, hypothesis testing, and time series analysis.
- Guide students in using econometric software for data analysis.
- Assess students’ progress and adjust tutoring methods accordingly.
- Develop study materials, practice problems, and real-world examples.
- Stay updated on advancements in econometrics and statistical software
Introduction to Econometrics Tutor in CR park delhi
- Definition and Scope of Econometrics
- Relationship Between Economic Theory, Mathematics, and Statistics
- Types of Data: Cross-Sectional, Time Series, and Panel Data
- Steps in Empirical Economic Research
Statistical Foundations for Econometrics
- Probability and Random Variables
- Sampling and Estimation Theory
- Hypothesis Testing and Confidence Intervals
- Review of Matrix Algebra (for Advanced Courses)
Econometrics Tutor in CR Park
The Classical Linear Regression Model (CLRM)
- Simple Linear Regression Model
- Assumptions of the Classical Model
- Ordinary Least Squares (OLS) Estimation
- Properties of OLS Estimators (BLUE)
- Goodness of Fit: R² and Adjusted R²
Multiple Regression Analysis
- Extension to Multiple Explanatory Variables
- Interpretation of Coefficients
- Multicollinearity: Causes, Consequences, and Remedies
- Functional Form and Model Specification
Violations of Classical Assumptions
- Heteroskedasticity: Causes, Detection (White Test, Breusch-Pagan Test), and Remedies
- Autocorrelation: Causes, Detection (Durbin-Watson Test, Breusch-Godfrey Test), and Remedies
- Endogeneity and Simultaneity Bias
- Instrumental Variables (IV) Estimation
Econometrics Tutor in CR Park
Dummy Variables and Categorical Data
- Use of Dummy Variables in Regression
- Interaction Effects
- Testing for Structural Change (Chow Test)
Time Series Econometrics
- Stationarity and Unit Root Testing (ADF Test, KPSS Test)
- Autoregressive (AR) and Moving Average (MA) Models
- ARMA and ARIMA Models
- Cointegration and Error Correction Models (Engle-Granger, Johansen Test)
- Vector Autoregressions (VAR) and Granger Causality
Econometrics Tutor in CR Park
Panel Data Econometrics
- Pooled OLS vs. Fixed and Random Effects Models
- Hausman Test for Model Selection
- Dynamic Panel Data Models (GMM Estimation)
Advanced Topics (Optional/Graduate Level)
- Maximum Likelihood Estimation (MLE)
- Generalized Method of Moments (GMM)
- Limited Dependent Variable Models (Probit, Logit, Tobit)
- Bayesian Econometrics
- Machine Learning Applications in Econometric
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