Math 2.0

Resources / course

Econometric Theory VC3QJWVSRY

URIm2://res/VC3QJWVSRY
Kindcourse
CreatorsShalabh (instructor)
Scopein
Idscourse 05pjsgx75:111104072

Expressions

e1: edition

Languageen
Contents
  • part 1: Main
  • session 1: main
  • part 2: Introduction to Econometrics
  • session 2: Lecture1
  • session 3: Lecture2
  • part 3: Simple linear regression analysis
  • session 4: Lecture3
  • session 5: Lecture4
  • session 6: Lecture5
  • session 7: Lecture6
  • session 8: Lecture7
  • session 9: Lecture8
  • part 4: Multiple linear regression analysis
  • session 10: Lecture9
  • session 11: Lecture10
  • session 12: Lecture11
  • session 13: Lecture12
  • session 14: Lecture13
  • session 15: Lecture14
  • session 16: Lecture15
  • part 5: Predictions in linear regression model
  • session 17: Lecture16
  • session 18: Lecture17
  • part 6: Generalized and weighted least squares estimation
  • session 19: Lecture18
  • part 7: Regression analysis under linear restrictions
  • session 20: Lecture19
  • session 21: Lecture20
  • part 8: Multicollinearity
  • session 22: Lecture21
  • session 23: Lecture22
  • session 24: Lecture23
  • session 25: Lecture24
  • part 9: Heteroskedasticity
  • session 26: Lecture25
  • session 27: Lecture26
  • part 10: Autocorrelation
  • session 28: Lecture27
  • session 29: Lecture28
  • session 30: Lecture29
  • part 11: Dummy variables models
  • session 31: Lecture30
  • part 12: Specification error analysis
  • session 32: Lecture31
  • part 13: Tests for structural change and stability
  • session 33: Lecture32
  • part 14: Asymptotic theory and stochastic regressors
  • session 34: Lecture33
  • session 35: Lecture34
  • part 15: Stein-rule estimation
  • session 36: Lecture35
  • part 16: Instrumental variable estimation
  • session 37: Lecture36
  • part 17: Measurement error models
  • session 38: Lecture37
  • session 39: Lecture38
  • session 40: Lecture39
  • part 18: Simultaneous equations models
  • session 41: Lecture40
  • session 42: Lecture41
  • session 43: Lecture42
  • session 44: Lecture43
  • part 19: Seemingly unrelated regression equations models
  • session 45: Lecture44
  • part 20: Exercises
  • session 46: Lecture45
  • session 47: Bibliography

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