2005
DOI: 10.1111/j.1468-0084.2005.00132.x
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Regression Models with Data‐based Indicator Variables*

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 tdistribution, 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 inco… Show more

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Cited by 45 publications
(37 citation statements)
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References 16 publications
(15 reference statements)
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“…7 Hendry's analysis is within the context of modelling inflation using time-series data. Hendry and Santos (2005) discuss the potential advantages of using such an index. 7 Ordered choice models could not be estimated when the lag length exceeded four.…”
Section: Methodsmentioning
confidence: 99%
“…7 Hendry's analysis is within the context of modelling inflation using time-series data. Hendry and Santos (2005) discuss the potential advantages of using such an index. 7 Ordered choice models could not be estimated when the lag length exceeded four.…”
Section: Methodsmentioning
confidence: 99%
“…Second, in line with the recommendation of Hendry and Santos (2005), the algorithm automatically detects and corrects for any outlying observations, defined by estimated residuals exceeding 3.5 standard deviations, via impulse dummy variables. Outliers may reflect the impact of events which are not captured by our explanatory variables, such as bailout news, or news about country-specific political developments.…”
Section: Empirical Frameworkmentioning
confidence: 99%
“…The standard options in Autometrics are then used to reduce the general models to specific models. We use indexes of the impulse dummies with weights based on their coefficients in the general models to avoid distorting misspecification tests (Hendry and Santos, 2005). We also include variables of interest in the specific models for illustrative purposes, even though they were removed by Autometrics.…”
mentioning
confidence: 99%