ur.pp: Phillips and Perron Unit Root Test

Description

Performs the Phillips and Perron unit root test. Beside the Z statistics Z-alpha and Z-tau, the Z statistics for the deterministic part of the test regression are computed, too.

Usage

ur.pp(x, type = c("Z-alpha", "Z-tau"), model = c("constant", "trend"),
      lags = c("short", "long"), use.lag = NULL)

Value

An object of class ur.pp.

Arguments

x: Vector to be tested for a unit root.
type: Test type, either "Z-alpha" or "Z-tau".
model: Determines the deterministic part in the test regression.
lags: Lags used for correction of error term.
use.lag: Use of a different lag number, specified by the user.

Author

Bernhard Pfaff

Details

The function ur.pp() computes the Phillips and Perron test. For correction of the error term a Bartlett window is used.

References

Phillips, P.C.B. and Perron, P. (1988), Testing for a unit root in time series regression, Biometrika, 75(2), 335--346.

MacKinnon, J.G. (1991), Critical Values for Cointegration Tests, Long-Run Economic Relationships, eds. R.F. Engle and C.W.J. Granger, London, Oxford, 267--276.

Download possible at: https://cowles.yale.edu/, see rubric 'Discussion Papers (CFDPs)'.

Examples

Run this code

data(nporg)
gnp <- na.omit(nporg[, "gnp.r"])
pp.gnp <- ur.pp(gnp, type="Z-tau", model="trend", lags="short")
summary(pp.gnp)

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