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Udemy Econometrics Solved Questions and Mathematical Proofs

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Udemy Econometrics Solved Questions and Mathematical Proofs
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Files:
  1. Get Bonus Downloads Here.url 179 bytes
  2. 001 Reading and Using STATA Regression Output - Part 1.mp4 173.5 MB
  3. 001 Reading and Using STATA Regression Output - Part 1_en.vtt 25.4 KB
  4. 002 Reading and Using STATA Regression Output - Part 2 (ANOVA Table).mp4 78.4 MB
  5. 002 Reading and Using STATA Regression Output - Part 2 (ANOVA Table)_en.vtt 11.0 KB
  6. 001 List of Questions.html 1.5 KB
  7. 002 Question 1 - p-value and Null Hypothesis.mp4 2.5 MB
  8. 002 Question 1 - p-value and Null Hypothesis_en.vtt 1.0 KB
  9. 003 Question 2 - Which test statistic to use for hypothesis testing.html 658 bytes
  10. 004 Question 3 - Power of Test.mp4 92.3 MB
  11. 004 Question 3 - Power of Test_en.vtt 17.7 KB
  12. 005 Question 4 - Interpretation of Confidence Interval.html 666 bytes
  13. 001 List of Questions.html 551 bytes
  14. 002 Question 1 - Estimation of intercept when slope coefficient is zero.mp4 15.0 MB
  15. 002 Question 1 - Estimation of intercept when slope coefficient is zero_en.vtt 5.2 KB
  16. 003 Question 2 - Location of sample regression line.mp4 20.5 MB
  17. 003 Question 2 - Location of sample regression line_en.vtt 7.4 KB
  18. 004 Question 3 - Regression doesn't imply causation.html 1.5 KB
  19. 005 Question 4 - Calculate the value of intercept and slope estimator.mp4 14.8 MB
  20. 005 Question 4 - Calculate the value of intercept and slope estimator_en.vtt 5.0 KB
  21. 006 Question 5 - Confidence Interval,Interpretation of slope coefficient & R-squared.mp4 121.7 MB
  22. 006 Question 5 - Confidence Interval,Interpretation of slope coefficient & R-squared_en.vtt 25.2 KB
  23. 007 Question 6 - Calculate OLS estimators, standard error of regression & R-squared.mp4 78.6 MB
  24. 007 Question 6 - Calculate OLS estimators, standard error of regression & R-squared_en.vtt 14.6 KB
  25. 008 Question 7 - What if expected value of the population error term is not zero.html 1.2 KB
  26. 009 Share your experience.html 888 bytes
  27. 25391121-Complete-List-of-Questions-SLR.pdf 79.9 KB
  28. 001 Derivation of Intercept's Estimator using Ordinary Least Squares Method.mp4 27.0 MB
  29. 001 Derivation of Intercept's Estimator using Ordinary Least Squares Method_en.vtt 17.0 KB
  30. 002 Derivation of Slope's Estimator using Ordinary Least Squares Method.mp4 26.7 MB
  31. 002 Derivation of Slope's Estimator using Ordinary Least Squares Method_en.vtt 16.6 KB
  32. 003 (Optional Lecture) Another Method to Solve for Intercept and Slope's estimator.mp4 12.7 MB
  33. 003 (Optional Lecture) Another Method to Solve for Intercept and Slope's estimator_en.vtt 10.5 KB
  34. 004 Different formulas to calculate Slope's estimator.mp4 11.0 MB
  35. 004 Different formulas to calculate Slope's estimator_en.vtt 10.1 KB
  36. 005 Different formulas to calculate Slope's estimator (Continued).mp4 15.0 MB
  37. 005 Different formulas to calculate Slope's estimator (Continued)_en.vtt 12.7 KB
  38. 006 Useful Results of OLS.mp4 13.9 MB
  39. 006 Useful Results of OLS_en.vtt 12.2 KB
  40. 007 Useful Results of OLS (Continued).mp4 12.4 MB
  41. 007 Useful Results of OLS (Continued)_en.vtt 10.4 KB
  42. 008 Assumptions of Classical Linear Regression Model (CLRM).mp4 55.5 MB
  43. 008 Assumptions of Classical Linear Regression Model (CLRM)_en.vtt 15.7 KB
  44. 009 Assumptions of CLRM (Continued).mp4 65.5 MB
  45. 009 Assumptions of CLRM (Continued)_en.vtt 17.3 KB
  46. 010 What is Gauss Markov Theorem.mp4 92.2 MB
  47. 010 What is Gauss Markov Theorem_en.vtt 14.6 KB
  48. 011 Gauss Markov Theorem Slope Estimator is Linear.mp4 43.6 MB
  49. 011 Gauss Markov Theorem Slope Estimator is Linear_en.vtt 15.6 KB
  50. 012 Gauss Markov Theorem Properties of new non-stochastic variable.mp4 18.5 MB
  51. 012 Gauss Markov Theorem Properties of new non-stochastic variable_en.vtt 7.5 KB
  52. 013 Gauss Markov Theorem Slope Estimator is Unbiased.mp4 68.5 MB
  53. 013 Gauss Markov Theorem Slope Estimator is Unbiased_en.vtt 16.6 KB
  54. 014 Gauss Markov Theorem Slope Estimator is Efficient.mp4 89.5 MB
  55. 014 Gauss Markov Theorem Slope Estimator is Efficient_en.vtt 18.8 KB
  56. 015 Gauss Markov Theorem Slope Estimator is Efficient (Continued).mp4 134.0 MB
  57. 015 Gauss Markov Theorem Slope Estimator is Efficient (Continued)_en.vtt 29.3 KB
  58. 001 List of Questions.html 91 bytes
  59. 002 Question 1 - Relationship between adjusted R2 and R2.mp4 7.3 MB
  60. 002 Question 1 - Relationship between adjusted R2 and R2_en.vtt 2.6 KB
  61. 003 Question 2 - Does a high value of R2 means you have a good model.mp4 11.7 MB
  62. 003 Question 2 - Does a high value of R2 means you have a good model_en.vtt 3.2 KB
  63. 004 Question 3 - Can adjusted R2 be negative.html 2.2 KB
  64. 005 Question 4 - Value of R2 on adding an insignificant and unimportant variable.html 2.4 KB
  65. 006 Question 5 - R2 in regression through origin models.html 641 bytes
  66. 007 Question 6 - ANOVA Table and Adjusted R squared.mp4 30.6 MB
  67. 007 Question 6 - ANOVA Table and Adjusted R squared_en.vtt 7.3 KB
  68. 008 Question 7 - ANOVA Table, Test of Overall Significance and Adjusted R-Squared.mp4 151.9 MB
  69. 008 Question 7 - ANOVA Table, Test of Overall Significance and Adjusted R-Squared_en.vtt 26.2 KB
  70. 009 Question 8 - Interpretation of coefficients and Test of Overall Significance.mp4 97.6 MB
  71. 009 Question 8 - Interpretation of coefficients and Test of Overall Significance_en.vtt 16.7 KB
  72. 010 Question 9 - Interpretation of log-log model and Test of Overall Significance.mp4 93.3 MB
  73. 010 Question 9 - Interpretation of log-log model and Test of Overall Significance_en.vtt 18.4 KB
  74. 011 Question 10 - Restricted, Unrestricted Model and F-test.mp4 77.6 MB
  75. 011 Question 10 - Restricted, Unrestricted Model and F-test_en.vtt 17.7 KB
  76. 012 Question 11 - Joint Hypothesis Test and Interpretation of lin-log model.mp4 83.6 MB
  77. 012 Question 11 - Joint Hypothesis Test and Interpretation of lin-log model_en.vtt 20.0 KB
  78. 013 Question 12 - Working with log-log functional form and t-test.mp4 71.4 MB
  79. 013 Question 12 - Working with log-log functional form and t-test_en.vtt 12.6 KB
  80. 014 Question 13 - Slope and Elasticity of various functional forms.mp4 23.6 MB
  81. 014 Question 13 - Slope and Elasticity of various functional forms_en.vtt 7.1 KB
  82. 015 Question 14 - Hypothesis testing using the relationship between t and F.mp4 126.2 MB
  83. 015 Question 14 - Hypothesis testing using the relationship between t and F_en.vtt 29.6 KB
  84. 016 Question 15 - Correlation between fitted values and residuals.mp4 81.9 MB
  85. 016 Question 15 - Correlation between fitted values and residuals_en.vtt 18.4 KB
  86. 017 Question 16 - Numerator and Denominator Degrees of Freedom in F-test.html 3.0 KB
  87. 018 Question 17 - Interpretation of slope coefficient in log-lin model.html 814 bytes
  88. 019 Question 18 - Interpretation of slope coefficient in lin-log model.html 759 bytes
  89. 020 Question 19 - Don't take 'logs' on the variables under this scenario.html 577 bytes
  90. 25411195-Complete-List-of-Questions-MLR.pdf 140.8 KB
  91. 001 List of Questions.html 91 bytes
  92. 002 Question 1 - Basic Interpretation.html 912 bytes
  93. 003 Question 2 - Dummy variable trap.html 2.7 KB
  94. 004 Question 3 - Dummy variable trap.html 774 bytes
  95. 005 Question 4 - Dummy variables for 4 quarters.html 375 bytes
  96. 25487847-Complete-List-of-Questions-Dummy-Variables.pdf 43.2 KB
  97. 001 List of Questions.html 91 bytes
  98. 002 Question 1 - Perfect Collinearity (Exact Linear Relationship) among regressors.mp4 48.6 MB
  99. 002 Question 1 - Perfect Collinearity (Exact Linear Relationship) among regressors_en.vtt 10.7 KB
  100. 003 Question 2 - Perfect Collinearity (Exact Linear Relationship) among regressors.mp4 32.2 MB
  101. 003 Question 2 - Perfect Collinearity (Exact Linear Relationship) among regressors_en.vtt 7.3 KB
  102. 004 Question 3 - Perfect Collinearity (Exact Linear Relationship) among regressors.html 125 bytes
  103. 005 Question 4 - High Multicollinearity.html 473 bytes
  104. 25576264-Complete-List-of-Questions-Multicollinearity.pdf 45.6 KB
  105. 001 Question 1 - Consequences of Heteroscedasticity.mp4 12.2 MB
  106. 001 Question 1 - Consequences of Heteroscedasticity_en.vtt 2.1 KB
  107. 002 Question 2 - White's test for Heteroscedasticity.mp4 142.0 MB
  108. 002 Question 2 - White's test for Heteroscedasticity_en.vtt 20.0 KB
  109. 003 Question 3 - Transform the regression equation to deal with Heteroscedasticity.mp4 77.0 MB
  110. 003 Question 3 - Transform the regression equation to deal with Heteroscedasticity_en.vtt 21.9 KB
  111. 004 Question 4 - Transform the regression equation to deal with Heteroscedasticity.mp4 65.1 MB
  112. 004 Question 4 - Transform the regression equation to deal with Heteroscedasticity_en.vtt 15.8 KB
  113. 001 Question 1 - Test 1st Order Autocorrelation (Durbin-Watson d-test).mp4 50.6 MB
  114. 001 Question 1 - Test 1st Order Autocorrelation (Durbin-Watson d-test)_en.vtt 9.0 KB
  115. 002 Question 2 - Assumptions underlying Durbin Watson d-test.mp4 9.6 MB
  116. 002 Question 2 - Assumptions underlying Durbin Watson d-test_en.vtt 1.4 KB
  117. 003 Question 3 - Test 1st Order Autocorrelation (Durbin-Watson d-test).mp4 36.0 MB
  118. 003 Question 3 - Test 1st Order Autocorrelation (Durbin-Watson d-test)_en.vtt 6.6 KB
  119. 004 Question 4 - Presence of Positive Autocorrelation.html 773 bytes
  120. 005 Question 5 - Test 1st Order Autocorrelation (Durbin-Watson d-test).html 150 bytes
  121. 006 Question 6 - Testing for Autocorrelation - Breusch Godfrey Test.mp4 101.6 MB
  122. 006 Question 6 - Testing for Autocorrelation - Breusch Godfrey Test_en.vtt 17.2 KB
  123. 001 List of Questions (Multiple Choice Questions).html 1.7 KB
  124. 002 MCQ Solutions.html 3.2 KB
  125. 001 Question 1.mp4 11.0 MB
  126. 001 Question 1_en.vtt 6.1 KB
  127. 002 Question 2.mp4 14.7 MB
  128. 002 Question 2_en.vtt 4.6 KB
  129. 003 Question 3.mp4 8.6 MB
  130. 003 Question 3_en.vtt 5.5 KB
  131. 004 Question 4.mp4 8.0 MB
  132. 004 Question 4_en.vtt 4.3 KB
  133. 005 Question 5.mp4 15.2 MB
  134. 005 Question 5_en.vtt 8.2 KB
  135. 006 Question 6 - Transforming Dependent & Independent variable by adding a constant.mp4 153.2 MB
  136. 006 Question 6 - Transforming Dependent & Independent variable by adding a constant_en.vtt 32.3 KB
  137. 007 Question 7 - Changing the values of dummy variable and statistical significance.mp4 200.9 MB
  138. 007 Question 7 - Changing the values of dummy variable and statistical significance_en.vtt 39.3 KB
  139. 008 Question 8 Covariance between sample error and independent variable.mp4 101.9 MB
  140. 008 Question 8 Covariance between sample error and independent variable_en.vtt 30.2 KB
  141. 009 Question 9.mp4 143.8 MB
  142. 009 Question 9_en.vtt 25.9 KB
  143. 010 Question 10.mp4 81.4 MB
  144. 010 Question 10_en.vtt 18.7 KB
  145. 011 Question 11.mp4 64.9 MB
  146. 011 Question 11_en.vtt 20.2 KB
  147. 001 Bonus Lecture.html 2.4 KB
  148. Bonus Resources.txt 386 bytes

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