Introduction to Econometrics Theory and practice

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Files Included :

1 - Introduction.mp4 (10.37 MB)
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2 - course outline and overview.mp4 (12.93 MB)
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3 - Significance of econometrics and data types.mp4 (46.77 MB)
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4 - The Econometric Process and Model Building.mp4 (55.23 MB)
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10 - RSquare concept and alternative formulas.mp4 (73.71 MB)
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11 - Hypothesis Testing in Simple Linear Regression.mp4 (109.75 MB)
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12 - Testing the normality of errors.mp4 (21.4 MB)
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5 - Understanding Regression Analysis and derivation.mp4 (100.23 MB)
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6 - The alternate formula of OLS estimators.mp4 (41.59 MB)
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7 - Understanding the assumptions of Classical Linear Regression Model.mp4 (111.49 MB)
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8 - BLUE property of OLS estimators Concept and Proof.mp4 (87.64 MB)
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9 - Derivation of the variance of OLS estimators.mp4 (56.68 MB)
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13 - Multiple Linear Regression Model and derivation of OLS estimators.mp4 (45.92 MB)
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14 - Derivation of variance.mp4 (55.58 MB)
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15 - Hypothesis Testing and Inference in Multiple Regression.mp4 (32.21 MB)
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16 - Ftest.mp4 (45.11 MB)
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17 - Chow test.mp4 (27.54 MB)
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18 - multicollinearity and its causes.mp4 (20.65 MB)
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19 - Consequences of multicollinearity.mp4 (20.95 MB)
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20 - Detection of multicollinearity.mp4 (11 MB)
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21 - Remedial Measures.mp4 (10.08 MB)
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22 - Types and causes of autocorrelation.mp4 (20.7 MB)
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23 - Consequences of autocorrelation.mp4 (7.22 MB)
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24 - Detection of Autocorrelation.mp4 (39.38 MB)
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25 - Remedial Measures.mp4 (20.35 MB)
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26 - Causes of Heteroscedasticity.mp4 (28.68 MB)
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27 - Consequences of heteroscedasticity.mp4 (8.88 MB)
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28 - Detection of heteroscedasticity.mp4 (33.88 MB)
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29 - Remedial measures.mp4 (9.63 MB)
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