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Regression Models with Data-based Indicator Variables

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Author Info
David F. Hendry () (Economcis Department, University of Oxford)
Carlos Santos () (Economics Department, University of Oxford)
Abstract

OLS 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 improvement. Finally, a possible modification to impulse intercept corrections is considered.

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File URL: http://www.nuff.ox.ac.uk/economics/papers/2004/w13/CSDFHindicators03a.pdf
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Publisher Info
Paper provided by Economics Group, Nuffield College, University of Oxford in its series Economics Papers with number 2004-W13.

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Length: 18 pages
Date of creation: 03 Nov 2004
Date of revision:
Handle: RePEc:nuf:econwp:0413

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Web page: http://www.nuff.ox.ac.uk/economics/

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Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models

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  1. Heino Bohn Nielsen, 2003. "Cointegration Analysis in the Presence of Outliers," Discussion Papers 03-05, University of Copenhagen. Department of Economics. [Downloadable!]
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This page was last updated on 2008-11-3.


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