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Course curriculum

    1. Simple Linear Regression - Live Sessions

    2. Properties of Estimators (Unbiased, Efficient and Consistent) - Live Sessions

    3. Transformation of Variables - Live Sessions

    4. Multiple Linear Regression - Live Sessions

    1. Inference 1 (Assumption needed) - 28 minutes

    2. Inference 2 (Variance and Standard Error) - 12 minutes

    3. Inference 3 (Covering Basics) - 24 minutes

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    4. Inference 4 (Example) - 27 minutes

    5. Inference 5 (Example) - 11 minutes

    6. Inference 6 (Two-sided Alternatives) - 4 minutes

    7. Inference 7 (Overview of Confidence Intervals) - 24 minutes

    8. Inference 8 (Example) - 17 minutes

    9. Inference 9 (t-test or F-test) - 14 minutes

    10. Inference 10 (Special Type of Restriction) - 15 minutes

    11. Inference 11 (Transformation) - 11 minutes

    12. Inference 12 (F-test Procedure) - 17 minutes

    13. Inference 13 (F-formula) - 13 minutes

    14. Inference 14 (F-Example) - 23 minutes

    15. Inference 15 (Relation F and t) - 11 minutes

    16. Inference 16 (Multiple formulas of F-test statistic) - 17 minutes

    17. Forming a Dummy Variable and Dummy Variable Trap (24 minutes)

    18. Practice Example (11 minutes)

    19. Additive Dummy Variables (26 minutes)

    20. Multiplicative Dummy Variables (24 minutes)

    21. Dealing with multiplication of two quantitative variables (5 minutes)

    22. Motivation to use an Interactive Dummy Variable (18 minutes)

    23. Working with Interactive Dummy Variables (10 minutes)

    24. Base or Benchmark Category (9 minutes)

    1. Heteroscedasticity (Meaning, Detection,Consequences and Remedy) - Live session

    2. Functional Form Misspecification (Meaning, Detection, Consequences and Remedy) - Live Session

    1. Problem of Endogeneity - Live Session

    2. Instrumental Variables - Live Session

    3. Method of Two Stage Least Squares (TSLS) - Live Session

    1. Transition from Cross-sectional to Time Series Data - Live Session

    2. Challenges while working with Time Series Data - Live Session

    3. Stationarity and Weak Dependence - Live Session

    4. Working with Dynamic Models - Live Session

    5. Autocorrelation (Live Session)

    1. Basics of Panel Data - Live Session

    2. First Difference Estimator - Live Session

    3. Fixed Effects Estimator - Live Session

    4. Random Effects Estimator - Live Session

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