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Simple Linear Regression
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Basics of Regression - meaning , cross sectional data , time series data ,pooled data, panel data
14:00
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Two variable Regression
25:00
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Coefficient of Determination-R Squared.
11:00
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Regression estimation -Derivations of B1 and B2
22:00
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MCQ Test
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Hypothesis Testing
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MCQ Test
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P-Value Explained _Regression _Hypothesis Testing
9:00
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Extension of Two variable linear regression Model
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Regression Through Origin
14:00
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Functional form of Regression | Regression Analysis
15:00
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Regression on Standardised Variables
12:00
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Scaling and unit of measurement _Econometrics_ Regression
18:00
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MCQ Test
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Multiple Regression: Problem Estimation
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Multiple Regression Analysis-Econometrics
15:00
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R Squared and Multiple Regression Model-Econometrics
13:00
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R -Squared and Adjusted R-Squared
11:00
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MCQ Test
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Multiple Regression: Problem Inferences
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F Test and Multiple Regression _ Econometric
14:00
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Chow Test _ Test of Parameter Stability _ Econometrics
12:00
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Marginal contribution of Explanatory Variables and Multiple Regression.
10:00
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Restricted Least Square - Multiple Regression
21:00
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Dummy Variables
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Dummy Variables and Regression Analysis
17:00
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Interaction Effect and Dummy Variable
8:00
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Dummy variables and Seasonal Analysis _Econometrics.
5:00
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Dummy Variables and Regression Analysis
17:00
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Interaction Effect and Dummy Variable
8:00
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Dummy Variables alternate to Chow Test
12:00
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Multicollinearity
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Multicollinearity Detection and Remedies.
22:00
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Multicollinearity and Consequences
22:00
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Heteroscedasticity
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Heteroscedasticity _ Causes and Consequences
27:00
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Heteroscedasticity _ Detection and Remedies
26:00
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Autocorrelation
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Autocorrelation: Causes and Consequences
23:00
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Durbin Watson D Test _ Autocorrelation
21:00
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Remedies for Autocorrelation
13:00
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Model Specification Errors
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Omitted Variable_ Model Specification Error
14:00
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D Test Model Specification Error
5:00
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Overfitting of Model _ Model Specification Error
7:00
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Ramsey RESET Test
5:00
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Panel Data Regression Model
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Panel Data _ Pooled Data Method or Grand Regression OLS Method.
19:00
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Random Effect Model _ Panel Data
11:00
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Panel Data _ Pooled Data Method or Grand Regression OLS Method.
19:00
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Qualitative Regression
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Logit and Probit Models
15:00
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Linear Probability Model
15:00
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Autoregressive and Distributed Lag Model
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Auto-regressive and Distributed lag Models
10:00
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Koyck Approach to Distributed Lag Model
17:00
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Granger Causality Test
17:00
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Simultaneous Equations
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Simultaneous Equation _ Econometrics
10:00
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Structural Equation and Reduced Form Equation
13:00
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Order condition _ Identification Problem
14:00
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Recursive Method and OLS
9:00
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Two stage least Square Method_ simultaneous equation
10:00
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Indirect Least Squares Method _ Simultaneous equations
17:00
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Time Series -Concepts
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Stationary Time Series
10:00
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Non stationary Time Series
15:00
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Unit Root Test or Dickey Fuller Test
15:00
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Co-Integration and Engle Granger Test
9:00
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Spurious Regression or Nonsense Regression
7:00
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Co-Integration and Error Correction Model
6:00
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Time Series Forecasting
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Launch your Graphy