@@ -175,9 +175,7 @@ def phillips_ouliaris(
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and "quadratic-spectral" for the Quadratic Spectral kernel.
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bandwidth : int, default None
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The bandwidth to use. If not provided, the optimal bandwidth is
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- estimated from the data. Setting the bandwidth to 0 and using
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- "unadjusted" produces the classic OLS covariance estimator.
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- Setting the bandwidth to 0 and using "robust" produces White's
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+ estimated from the data. Setting the bandwidth to 0 produces White's
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covariance estimator.
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force_int : bool, default False
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Whether the force the estimated optimal bandwidth to be an integer.
@@ -198,14 +196,6 @@ def phillips_ouliaris(
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Notes
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-----
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-
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- .. warning::
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-
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- The critical value simulation is on-going and so the critical values
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- may change slightly as more simulations are completed. These are still
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- based on far more simulations (minimum 2,000,000) than were possible
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- in 1990 (5000) that are reported in [1]_.
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-
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Supports 4 distinct tests.
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Define the cross-sectional regression
@@ -276,7 +266,7 @@ def phillips_ouliaris(
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differs from the expression in [1]_. We recenter :math:`z_t` by subtracting
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the first observation, so that :math:`\tilde{z}_t = z_t - z_1`. This is
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needed to ensure that the initial value does not affect the distribution
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- under the null. When the trend is anything other than "n", this set is not
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+ under the null. When the trend is anything other than "n", this step is not
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needed and the test statistics is identical whether the first observation
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is subtracted or not.
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