Udemy - Econometrics - Solved Questions and Mathematical Proofs

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[ CoursePig.com ] Udemy - Econometrics - Solved Questions and Mathematical Proofs
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Working with STATA
    • 001 Reading and Using STATA Regression Output - Part 1.mp4 (173.5 MB)
    • 001 Reading and Using STATA Regression Output - Part 1_en.vtt (25.4 KB)
    • 002 Reading and Using STATA Regression Output - Part 2 (ANOVA Table).mp4 (78.4 MB)
    • 002 Reading and Using STATA Regression Output - Part 2 (ANOVA Table)_en.vtt (11.0 KB)
    02 - Hypothesis Testing and Confidence Interval - Practice Questions
    • 001 List of Questions.html (1.5 KB)
    • 002 Question 1 - p-value and Null Hypothesis.mp4 (2.5 MB)
    • 002 Question 1 - p-value and Null Hypothesis_en.vtt (1.0 KB)
    • 003 Question 2 - Which test statistic to use for hypothesis testing.html (0.6 KB)
    • 004 Question 3 - Power of Test.mp4 (92.3 MB)
    • 004 Question 3 - Power of Test_en.vtt (17.7 KB)
    • 005 Question 4 - Interpretation of Confidence Interval.html (0.7 KB)
    03 - Simple Linear Regression - Practice Questions
    • 001 List of Questions.html (0.5 KB)
    • 002 Question 1 - Estimation of intercept when slope coefficient is zero.mp4 (15.0 MB)
    • 002 Question 1 - Estimation of intercept when slope coefficient is zero_en.vtt (5.2 KB)
    • 003 Question 2 - Location of sample regression line.mp4 (20.5 MB)
    • 003 Question 2 - Location of sample regression line_en.vtt (7.4 KB)
    • 004 Question 3 - Regression doesn't imply causation.html (1.5 KB)
    • 005 Question 4 - Calculate the value of intercept and slope estimator.mp4 (14.8 MB)
    • 005 Question 4 - Calculate the value of intercept and slope estimator_en.vtt (5.0 KB)
    • 006 Question 5 - Confidence Interval,Interpretation of slope coefficient & R-squared.mp4 (121.7 MB)
    • 006 Question 5 - Confidence Interval,Interpretation of slope coefficient & R-squared_en.vtt (25.2 KB)
    • 007 Question 6 - Calculate OLS estimators, standard error of regression & R-squared.mp4 (78.6 MB)
    • 007 Question 6 - Calculate OLS estimators, standard error of regression & R-squared_en.vtt (14.6 KB)
    • 008 Question 7 - What if expected value of the population error term is not zero.html (1.2 KB)
    • 009 Share your experience.html (0.9 KB)
    • 25391121-Complete-List-of-Questions-SLR.pdf (79.9 KB)
    04 - Simple Linear Regression - Mathematical Proofs and Assumptions
    • 001 Derivation of Intercept's Estimator using Ordinary Least Squares Method.mp4 (27.0 MB)
    • 001 Derivation of Intercept's Estimator using Ordinary Least Squares Method_en.vtt (17.0 KB)
    • 002 Derivation of Slope's Estimator using Ordinary Least Squares Method.mp4 (26.7 MB)
    • 002 Derivation of Slope's Estimator using Ordinary Least Squares Method_en.vtt (16.6 KB)
    • 003 (Optional Lecture) Another Method to Solve for Intercept and Slope's estimator.mp4 (12.7 MB)
    • 003 (Optional Lecture) Another Method to Solve for Intercept and Slope's estimator_en.vtt (10.5 KB)
    • 004 Different formulas to calculate Slope's estimator.mp4 (11.0 MB)
    • 004 Different formulas to calculate Slope's estimator_en.vtt (10.1 KB)
    • 005 Different formulas to calculate Slope's estimator (Continued).mp4 (15.0 MB)
    • 005 Different formulas to calculate Slope's estimator (Continued)_en.vtt (12.7 KB)
    • 006 Useful Results of OLS.mp4 (13.9 MB)
    • 006 Useful Results of OLS_en.vtt (12.2 KB)
    • 007 Useful Results of OLS (Continued).mp4 (12.4 MB)
    • 007 Useful Results of OLS (Continued)_en.vtt (10.4 KB)
    • 008 Assumptions of Classical Linear Regression Model (CLRM).mp4 (55.5 MB)
    • 008 Assumptions of Classical Linear Regression Model (CLRM)_en.vtt (15.7 KB)
    • 009 Assumptions of CLRM (Continued).mp4 (65.5 MB)
    • 009 Assumptions of CLRM (Continued)_en.vtt (17.3 KB)
    • 010 What is Gauss Markov Theorem.mp4 (92.2 MB)
    • 010 What is Gauss Markov Theorem_en.vtt (14.6 KB)
    • 011 Gauss Markov Theorem Slope Estimator is Linear.mp4 (43.6 MB)
    • 011 Gauss Markov Theorem Slope Estimator is Linear_en.vtt (15.6 KB)
    • 012 Gauss Markov Theorem Properties of new non-stochastic variable.mp4 (18.5 MB)
    • 012 Gauss Markov Theorem Properties of new non-stochastic variable_en.vtt (7.5 KB)
    • 013 Gauss Markov Theorem Slope Estimator is Unbiased.mp4 (68.5 MB)
    • 013 Gauss Markov Theorem Slope Estimator is Unbiased_en.vtt (16.6 KB)
    • 014 Gauss Markov Theorem Slope Estimator is Efficient.mp4 (89.5 MB)
    • 014 Gauss Markov Theorem Slope Estimator is Efficient_en.vtt (18.8 KB)
    • 015 Gauss Markov Theorem Slope Estimator is Efficient (Continued).mp4 (134.0 MB)
    • 015 Gauss Markov Theorem Slope Estimator is Efficient (Continued)_en.vtt (29.3 KB)
    05 - Multiple Linear Regression and Different Functional Forms - Practice Questions
    • 001 List of Questions.html (0.1 KB)
    • 002 Question 1 - Relationship between adjusted R2 and R2.mp4 (7.3 MB)
    • 002 Question 1 - Relationship between adjusted R2 and R2_en.vtt (2.6 KB)
    • 003 Question 2 - Does a high value of R2 means you have a good model.mp4 (11.7 MB)
    • 003 Question 2 - Does a high value of R2 means you have a good model_en.vtt (3.2 KB)
    • 004 Question 3 - Can adjusted R2 be negative.html (2.3 KB)
    • 005 Question 4 - Value of R2 on adding an insignificant and unimportant variable.html (2.4 KB)
    • 006 Question 5 - R2 in regression through origin models.html (0.6 KB)
    • 007 Question 6 - ANOVA Table and Adjusted R squared.mp4 (30.6 MB)
    • 007 Question 6 - ANOVA Table and Adjusted R squared_en.vtt (7.3 KB)
    • 008 Question 7 - ANOVA Table, Test of Overall Significance and Adjusted R-Squared.mp4 (151.9 MB)
    • 008 Question 7 - ANOVA Table, Test of Overall Significance and Adjusted R-Squared_en.vtt (26.2 KB)
    • 009 Question 8 - Interpretation of coefficients and Test of Overall Significance.mp4 (97.6 MB)
    • 009 Question 8 - Interpretation of coefficients and Test of Overall Significance_en.vtt (16.7 KB)
    • 010 Question 9 - Interpretation of log-log model and Test of Overall Significance.mp4 (93.3 MB)
    • 010 Question 9 - Interpretation of log-log model and Test of Overall Significance_en.vtt (18.4 KB)
    • 011 Question 10 - Restricted, Unrestricted Model and F-test.mp4 (77.6 MB)
    • 011 Question 10 - Restricted, Unrestricted Model and F-test_en.vtt (17.7 KB)
    • 012 Question 11 - Joint Hypothesis Test and Interpretation of lin-log model.mp4 (83.6 MB)
    • 012 Question 11 - Joint Hypothesis Test and Interpretation of lin-log model_en.vtt (20.0 KB)
    • 013 Question 12 - Working with log-log functional form and t-test.mp4 (71.4 MB)
    • 013 Qu

Description

Econometrics: Solved Questions and Mathematical Proofs



https://CoursePig.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.43 GB | Duration: 11h 37m

Step by step solutions to 60+ Econometrics Questions. Ideal for university students who are new to Econometrics.

What you'll learn
Practice Questions - Simple and Multiple Linear Regression
Mathematical Proofs - Simple Linear Regression
Practice Questions - Functional Forms and Dummy Variables
Practice Questions - Multicollinearity
Practice Questions - Heteroscedasticity and Autocorrelation
Feel much more confident in solving exam style questions
Requirements
Basics of Introductory Econometrics (Linear Regression)
Statistics Basics - Random Variables, Expected Values, Variance, Hypothesis Testing, Confidence Intervals
Knowledge of Elementary Calculus
Description
'Econometrics: Solved Questions and Mathematical Proofs' is a course for anyone studying Introductory Econometrics at University Level.

What other students are saying about this course?
''Clear and well organised course'' - Johnson Nyella
''This is surely very helpful. Whenever I have some doubt regarding concepts, I go through this course and the questions help a lot'' - Ananya Nath



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Udemy - Econometrics - Solved Questions and Mathematical Proofs

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3.4 GB
seeders:8
leechers:7
Udemy - Econometrics - Solved Questions and Mathematical Proofs

Torrent hash: A56F20845A07855C34D49EF8F7FBB416494D9EBC