by Ciuiu, Daniel
Published in Romanian Journal of Economic Forecasting,
2010, volume 13 issue 2, 231-244
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by Ciuiu, Daniel
Published in Romanian Journal of Economic Forecasting,
2010, volume 13 issue 2, 231-244
|
| Requires
a PDF viewer such as Xpdf
or Adobe Acrobat Reader 128Kb |
In this paper we will test the homoscedasticity of errors using the Goldfeld-Quandt test
and we will classify the points using the explanatory variable by which we sort them.
We will also use the Hartley test for the equality of the class error variances (if we
have at least two classes).
For all the points (only one class) and all the possible classifications for which we
have homoscedasticity we will compute some informational criteria like Akaike
( AIC=Akaike Informational Criterion) and Schwartz ( BIC=Bayes Informational
Criterion). Of course, from these classifications we will choose that classification with
the minimum of the considered criterion.
As application, we have monthly data from November 1990 to November 2008
concerning the price indexes for services, the price indexes for food and for the price
indexes of non-food goods.
Keywords:
homoscedasticity, classification, informational criteria, price indexes
JEL Classification: