2. Serially Correlated Error Terms Flashcards

1
Q

When do we have serially uncorrelated errors?

A

When corr(Ut, Ut-k)=0

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2
Q

Possible sources of serial correlation in errors

A
  • variables omitted that are correlated across periods
  • incorrect functional form
  • systematic errors in measurement
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3
Q

What happens if we plot an AR(1) and vary p from 0 to -0.9?

A

The absolute magnitude of the process increases a lot. The process crosses the sero line in more periods

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4
Q

What happens if we plot an AR(1) and vary p from 0 to +0.9

A

The magnitude increases. There are much less crosses of the zero line

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5
Q

Consequences of serial correlation

A
  • bias

- inference

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6
Q

In relation to serial correlation, when is a model biased?

A

It will be biased when the model contains lags of the dependent variable and there is serial correlation

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7
Q

How do serial correlated errors lead to poor inference?

A

The convential OLS forumla for calculating standard errors is incorrect in the presence of seriallly correlated errors.

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8
Q

What does positive correlation do to the standard errors under convential OLS formula?

A

It makes the standard errors too small

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9
Q

Methods for testing serial correlation

A
  • graphical approach- examine a plot of residuals
  • using residual correlogram
  • durbin-watson test, durbin’s alternative test, breusch godfrey test
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10
Q

When can the durbin watson test be performed?

A
  • regression model has intercept
  • serial correlation in residual u is of first order
  • regression model doesnt include lagged dependent variables
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11
Q

Steps of Durbin watson test

A
  1. Estimate model parameters using OLS and obtain residuals
  2. Calculate the Durbin- Watson test stat
  3. Based on DW stat and CV make a decaion whether to reject Ho
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12
Q

In a Durbin Watson test when do we reject Ho in favour of positive correlation ?

A

When DW stat< lower bound

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13
Q

In a Durbin Watson test when do we reject Ho in favour of negative correlation ?

A

When DW stat> 4- lower bound

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14
Q

Advantages of Durbin’s alternative test compared to the Durbin Watson test?

A
  • it can be carried out even when regressors contain lagged dependent variables
  • can also be used to test serial correlation against higher order serial correlations
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15
Q

When do we reject Ho in Durbin’s alternative test?

A

If coefficients on lagged residuals are jointly different from zero

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16
Q

How do you compute the test stat for the Breusch Godfrey test?

A

T x R^2

Where T is the number of observations in the regression in step 2

17
Q

When do we reject Ho for a Breusch Godfrey test?

A

When the calculated value is greater than the critical value

18
Q

What are Newey west standard errors?

A

They are robust standard errors to arbitrary autocorrelation up to the order of the chosen log

19
Q

Feasible Generalised Least Squares estimator

A

Arbitrary autocorrelation robust standard errors which require us to specify the functional form but if correct are very efficient

20
Q

Steps of FGLS

A
  1. Lag the original model
  2. Multiply the lagged model by P and subtract it from the original model
  3. Estimate P by regressing ût on ût-1 and repeating