The asymptotic p-values of the Hansen's (1995) Covariate-Augmented Dickey Fuller (CADF) test for a unit root are computed using the approach outlined in Costantini et al. (2007). The function can be used also to compute the p-values of the ordinary Dickey-Fuller distribution.
CADFpvalues(t0, rho2 = 0.5, type=c("trend", "drift", "none"))
the value of the test statistic.
the value of the long-run correlation. When rho2 = 1
is set, the p-values
of the ordinary Dickey-Fuller are computed.
defines the deterministic kernel used in the test. It accepts the values used in
package urca
. It specifies if the underlying model must be with
linear trend ("trend"
, the default), with constant ("drift"
) or without constant
("none"
).
p.value
, a scalar containing the estimated asymptotic p-value of the test.
Hansen BE (1995). Rethinking the Univariate Approach to Unit Root Testing: Using Covariates to Increase Power, Econometric Theory, 11(5), 1148--1171.
Costantini M, Lupi C, Popp S (2007). A Panel-CADF Test for Unit Roots, University of Molise, Economics & Statistics Discussion Paper 39/07. http://econpapers.repec.org/paper/molecsdps/esdp07039.htm
CADFpvalues(t0=-1.7, rho2=0.20, type="trend")
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