Автор: Kazralkis
Asymptotic covariance matrix in stata forex
For this model, prove that GLS and MLE are the same, even though this distribution involves the same parameters in the conditional mean function and the disturbance variance. In the discussion of Harvey's model in Section Harvey points out that if the purpose of this initial regression is only to obtain starting values for the iterations, then the correction is not necessary. Explain why this statement would be true. This exercise requires appropriate computer software. Quarterly data on the consumer price index for Use these data to fit the model proposed by Engle and Kraft Fit the model by ordinary least squares, then use the tests suggested in the text to see if ARCH effects appear to be present.
If the software does not allow constraints on the coefficients, you can still do this with a two-step least squares procedure, using the least squares residuals from the first step. What do you find? Try the estimator used in Example Show that a2 and y2 can be consistently estimated by a regression of the least squares residuals on a constant and x2. Is this estimator efficient? For this model, prove that GLS and MLE are the same, even though this distribution involves the same parameters in the conditional mean function and the disturbance variance.
In the discussion of Harvey's model in Section Harvey points out that if the purpose of this initial regression is only to obtain starting values for the iterations, then the correction is not necessary. Explain why this statement would be true. This exercise requires appropriate computer software.

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