
Summary: This paper investigates the asymptotic properties of the t-statistic in spurious regressions when the bandwidth in the estimation of the heteroskedasticity and autocorrelation consistent (HAC) standard error is set proportional to the sample size. Using autocovariances of large lags, the so-defined HAC estimator is capable of capturing the high persistence of the regressor and regression residuals. It is shown that the resulting t-statistic converges to a nondegenerate limiting distribution for all cases of spurious regressions considered in the literature. This finding sheds some new light on the nature of spurious regressions.
spurious regression, Functional limit theorems; invariance principles, Linear regression; mixed models, spurious regression, fractional process, HAC estimates, Asymptotic distribution theory in statistics, fractional process, HAC estimates
spurious regression, Functional limit theorems; invariance principles, Linear regression; mixed models, spurious regression, fractional process, HAC estimates, Asymptotic distribution theory in statistics, fractional process, HAC estimates
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