Ordinary least squares estimation of an impulse-indicator coefficient is inconsistent, but its variance can be consistently estimated. Although the ratio of the inconsistent estimator to its standard error has a "t"-distribution, that test is inconsistent: one solution is to form an index of indicators. We provide Monte Carlo evidence that including a plethora of indicators need not distort model selection, permitting the use of many dummies in a general-to-specific framework. Although White's (1980) heteroskedasticity test is incorrectly sized in that context, we suggest an easy alteration. Finally, a possible modification to impulse 'intercept corrections' is considered. Copyright 2005 Blackwell Publishing Ltd.
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Volume (Year): 67 (2005) Issue (Month): 5 (October) Pages: 571-595 Download reference. The following formats are available: HTML
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Hendry, David F, 1980.
"Econometrics-Alchemy or Science?,"
Economica,
London School of Economics and Political Science, vol. 47(188), pages 387-406, November.
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