Moment Ratio estimation of autoregressive/unit root parameters and autocorrelation-consistent standard errors
نویسندگان
چکیده
منابع مشابه
Moment Ratio estimation of autoregressive/unit root parameters and autocorrelation-consistent standard errors
A Moment Ratio estimator is proposed for an AR(p) model of the errors in an OLS regression, that provides standard errors with far less median bias and confidence intervals with far better coverage than conventional alternatives. A unit root, and therefore the absence of cointegration, does not necessarily mean that a correlation between the variables is spurious. The estimator is applied to a ...
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A Moment Ratio Estimator is proposed for the parameters of an Autoregressive (AR) model of the error in an Ordinary Least Squares (OLS) linear regression. Although it is computed from the conventional residual autocorrelation coefficients, it greatly reduces their bias, and provides corrected standard errors with far less bias and confidence intervals with far less size distortion than conventi...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2016
ISSN: 0167-9473
DOI: 10.1016/j.csda.2015.07.003