Media Storage Type : 32 GB USB Stick
NPTEL Subject Matter Expert : Prof. Tutan Ahmed
NPTEL Co-ordinating Institute : IIT Kharagpur
NPTEL Lecture Count : 107
NPTEL Course Size : 5.4 GB
NPTEL PDF Text Transcription : Available and Included
NPTEL Subtitle Transcription : Available and Included (SRT)
Lecture Titles:
Lecture 1 - Overview of Module 1 and Introduction of Causality
Lecture 2 - Correlation and Causality
Lecture 3 - Correlation and Causality (Continued...)
Lecture 4 - Correlation and Causality (Continued...)
Lecture 5 - Probability Theory
Lecture 6 - Probability Theory (Continued...)
Lecture 7 - Probability Theory (Continued...)
Lecture 8 - Probability Theory (Continued...)
Lecture 9 - Posterior Probability
Lecture 10 - Bayesian Theorem
Lecture 11 - Bayesian Theorem (Continued...): Repeated Trial
Lecture 12 - Bayesian Theorem (Continued...): Example of Diamond Identification
Lecture 13 - Probability Distribution
Lecture 14 - Double Structure of Variable
Lecture 15 - Probability Distribution (Discrete/Continuous Variable) Random Variable
Lecture 16 - Probability Mass Function (PMF) Probability Density Function (PDF)
Lecture 17 - Expectation, Variance, Covariance
Lecture 18 - Expectation, Variance, Covariance (Continued...)
Lecture 19 - Covariance Rule
Lecture 20 - Bernoulli Distribution
Lecture 21 - Bernoulli Distribution (Continued...)
Lecture 22 - Normal Approximation of Bernoulli Distribution
Lecture 23 - Sampling
Lecture 24 - Sampling (Continued...)
Lecture 25 - Central Limit Theorem
Lecture 26 - Law of Large Numbers LLN
Lecture 27 - Properties of Estimator
Lecture 28 - Conflict Between Unbiasedness and Min Variance
Lecture 29 - T-Distribution
Lecture 30 - Normal Distribution
Lecture 31 - Normal Distribution (Continued...)
Lecture 32 - Hypothesis Testing
Lecture 33 - Decision Rules
Lecture 34 - Level of Significance
Lecture 35 - P Value
Lecture 36 - Power of a Test
Lecture 37 - Confidence Interval
Lecture 38 - Confidence Interval Example
Lecture 39 - Properties of Power of a Test
Lecture 40 - Introduction to Module II
Lecture 41 - Error Term, Coefficient of Determination, Regression Coefficient
Lecture 42 - Error Term, Coefficient of Determination, Regression Coefficient (Continued...)
Lecture 43 - Error Term, Coefficient of Determination, Regression Coefficient (Continued...)
Lecture 44 - Definition : Variable, Parameter and Coefficient
Lecture 45 - Introduction to Regression: Recapitulating Correlation and Causal Thinking
Lecture 46 - Adjusted R-Squared
Lecture 47 - Degrees of Freedom
Lecture 48 - Multiple Regression
Lecture 49 - Multiple Regression (Continued...)
Lecture 50 - Regression Table
Lecture 51 - Regression Table (Continued...)
Lecture 52 - Multicollinearity
Lecture 53 - Multicollinearity (Continued...)
Lecture 54 - Multicollinearity (Continued...)
Lecture 55 - Multicollinearity (Continued...)
Lecture 56 - Multicollinearity (Continued...)
Lecture 57 - Dummy Variable
Lecture 58 - Dummy variable (Continued...)
Lecture 59 - Dummy variable (Continued...)
Lecture 60 - Dummy variable (Continued...)
Lecture 61 - Dummy variable (Continued...)
Lecture 62 - Dummy variable (Continued...)
Lecture 63 - Dummy variable (Continued...)
Lecture 64 - Heteroscedasticity
Lecture 65 - Heteroscedasticity (Continued...)
Lecture 66 - Heteroscedasticity (Continued...)
Lecture 67 - Heteroscedasticity (Continued...)
Lecture 68 - Heteroscedasticity (Continued...)
Lecture 69 - Heteroscedasticity (Continued...)
Lecture 70 - Autocorrelation
Lecture 71 - Autocorrelation (Continued...)
Lecture 72 - Autocorrelation (Continued...)
Lecture 73 - Autocorrelation (Continued...)
Lecture 74 - Autocorrelation (Continued...)
Lecture 75 - Autocorrelation (Continued...)
Lecture 76 - Autocorrelation (Continued...)
Lecture 77 - Autocorrelation (Continued...)
Lecture 78 - Autocorrelation (Continued...)
Lecture 79 - Autocorrelation (Continued...)
Lecture 80 - Autocorrelation (Continued...)
Lecture 81 - Autocorrelation (Continued...)
Lecture 82 - Remedy for Autocorrelation
Lecture 83 - Model Specification
Lecture 84 - Model Specification (Continued...)
Lecture 85 - Model Specification (Continued...)
Lecture 86 - Model Specification (Continued...)
Lecture 87 - Model Specification (Continued...)
Lecture 88 - Model Specification (Continued...)
Lecture 89 - Model Specification (Continued...)
Lecture 90 - Model Specification (Continued...)
Lecture 91 - Continuation with Proxy Variable
Lecture 92 - Ramsey Reset Test
Lecture 93 - Introduction to Module III
Lecture 94 - Non Stochastic Regressor
Lecture 95 - Stochastic Regressor
Lecture 96 - Assumptions for Regression Models with Non-Stochastic Regressor
Lecture 97 - Assumptions for Regression Model with Stochastic Regressor
Lecture 98 - Instrumental Variable
Lecture 99 - Instrumental Variable (Continued...)
Lecture 100 - Asymptotic Property
Lecture 101 - Problem of Endogeneity
Lecture 102 - Simultaneous Equation Model
Lecture 103 - Instrumental Variable for Endogeneity Bias Problem
Lecture 104 - Good Bad and Weak Instrumental Variable
Lecture 105 - Overidentification Underidentification Exact Identification - Instrumental Variable
Lecture 106 - Two Stage Least Square and Instrumental Variable
Lecture 107 - 2SLS and IV with Stata