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Spurious Stochastics in a Short Time-Series Panel Data

Clive Granger and Namwon Hyung

Annals of Economics and Statistics, 1999, issue 55-56, 299-315

Abstract: This paper analyzes the effects of individual-specific size factors in a dynamic panel regression model. Theory and simulation show that an individual-specific size factor, with a fat-tailed distribution or a time-varying property, may cause spurious stochastics. If a pair of panel variables depends on size in some way, then they appear to find a strong relationship, if the size variable is not used in the regression, even if the variables are otherwise independent. Moreover, forecasts based on models that have omitted size-factors are affected seriously by the property of the size-factors. A pooling regression with very short time-series appears to fit well in sample, but forecasts poorly out-of-sample if the neglected individual-specific size-factor has a fat-tailed distribution.

Date: 1999
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