Small sample properties of panel time-series estimators with I(1) errors
Jerry Coakley, Ana-Maria Fuertes, Ron Smith
Authors registered in the RePEc Author Service: Ronald Smith (),
Ana-Maria Fuertes () and
No 191, Computing in Economics and Finance 2001 from Society for Computational Economics
Monte Carlo simulations are used to explore the small-sample properties of a mean group and two pooled panel estimators of a regression coefficient when the regressor is I(1). We compare and contrast the effect of I(0) and I(1) errors and homogeneous and heterogeneous coefficients in a design based on two typical PPP panels. The results confirm that the asymptotic theory is relevant to practical applications. With I(0) errors and homogeneous coefficients, the estimators are unbiased, dispersion depends on the signal-noise ratio and falls at rate T(rootN) as expected. With I(1) errors and no cointegration, dispersion falls at rate rootN. When heterogeneity is introduced with I(0) errors, the dispersion of the pooled estimators falls at rate root N, but that of the mean group continues to fall at rate T(rootN). Finally, the pooled estimators are likely to lead to distorted inference both in the case of I(1) errors and the case of I(0) errors with heterogeneous coefficients case. The mean group estimators are, however, are generally correctly sized.
Keywords: Monte Carlo; response surface; spurious regression; PPP (search for similar items in EconPapers)
JEL-codes: C32 F31 (search for similar items in EconPapers)
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Working Paper: Small Sample Properties of Panel Time-series Estimators with I(1) Errors (2001)
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Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf1:191
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