Econometrics

Econometrics

Ralf Becker via YouTube Direct link

Introduction to Autocorrelation

25 of 55

25 of 55

Introduction to Autocorrelation

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Classroom Contents

Econometrics

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  1. 1 Gauss Markov Theorem - Sketch of a proof
  2. 2 two tailed Regression t-test
  3. 3 Regresion coefficient confidence interval
  4. 4 Multicollinearity
  5. 5 p-values
  6. 6 F-test for linear restrictions in regression model
  7. 7 IV notation
  8. 8 What's the use of Matrices for regression analysis?
  9. 9 Matrix Algebra - Addition
  10. 10 Matrix Algebra Multiplication
  11. 11 Matrix Algebra Inverse
  12. 12 The Regression Model - From Matrix form to Obs form
  13. 13 Estimator Consistency and Laws of Large Numbers
  14. 14 Asymptotic Normality of OLS parameter Estimators
  15. 15 Random Regressors and OLS properties
  16. 16 TSdata from the OECD database
  17. 17 Regression Assumptions for Time Series Data
  18. 18 ECON20110 Spurious Regression
  19. 19 ECON20110 Exercise1
  20. 20 ARIMA estimation in R
  21. 21 Heteroscedasticity Intro
  22. 22 Generalised Least Squares (GLS) Theory
  23. 23 ECON20110 Detecting Heteroskedasticity
  24. 24 ECON20110 Heteroskedasticity Detection in EVIEWS
  25. 25 Introduction to Autocorrelation
  26. 26 Newey-West Standard Errors
  27. 27 ECON20110 Ramsey Reset Test
  28. 28 Using dummy variables to model structural change
  29. 29 ECON20110 Exercise 2
  30. 30 Modelling Summary
  31. 31 Measurement Error
  32. 32 Two Stage Least Squares to IV Estimator
  33. 33 Testing for Autocorrelation
  34. 34 Structural Change Example
  35. 35 ECON20110 - IV and Proxy
  36. 36 Instrumental Variable Estimation - Motivation
  37. 37 ECON20110 Exercise 4
  38. 38 Maximum Likelihood - A Poisson Example
  39. 39 ECON20110 Exam 2011 Q4
  40. 40 ECON20110 2011-12 Semester 1 Question 1
  41. 41 ECON20110 2012-13 Semester 1 Question 5
  42. 42 Introduction to Bayesian Econometrics
  43. 43 Bayesian v Frequentist Inference
  44. 44 Bayesian Estimation - Exercise
  45. 45 Selecting subsamples in EVIEWS
  46. 46 Time Series Analysis Question
  47. 47 Heteroskedasticity Question
  48. 48 Maximum Likelihood Exercise
  49. 49 Omitted Variable Bias
  50. 50 OLS estimator unbiasedness in multiple regression model
  51. 51 Omitted Variable Bias
  52. 52 OLS Parameter interpretation
  53. 53 OLS estimator variance
  54. 54 OLS linking assumptions to properties
  55. 55 Econometrics Mid-Term Feedback Nov 2019

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