Description Usage Arguments Details Value Author(s) References See Also Examples

This function performs the likelihood ratio test for a single unit root in a PAR(p) model up to order 2.

1 2 | ```
LRurpar.test (wts, detcomp, p)
``` |

`wts` |
a univariate time series object. |

`detcomp` |
a vector indicating the deterministic components included in the auxiliar regression. See
the corresponding item in |

`p` |
the order of the PAR model. In this version first and second order models are considered. |

In a quarterly time series, the PAR(1) model, *y_t = α_{s,1} y_{t-1} + ε_t* with
*ε_t ID(0,1)*, contains a unit root if *g(α) = Π_{s=1}^4 α_{s,1} = 1*. To test
this hypothesis, a likelihood ratio test, `LR`

, is built as the logarithm of the ratio beteween the
residual sum of squares in the unrestricted and the restricted model, weighted by the number of
observations.

The unrestricted PAR model is estimated by OLS, whereas the model in which the null hypothesis is
imposed, *i.e.* *Π_{s=1}^4 α_{s,1} = 1*, is estimated by nonlinear least squares.

The critical values are reported in Osterwald-Lenum (1992), table 1.1 (for the case where *p-r=1*).

In this version, PAR models up to order 2 with seasonal intercepts are considered, since the function
`fit.piar`

does not allow for higher orders.

An object of class `LRur.partsm-class`

containing the LR statistics and a one-side test
constructed as *sign(g(\hat{α}) - 1) * LR^{1/2}*, where *g(\hat{α})* is the product of
the periodic differencing filter parameters estimated under the alternative.

Javier Lopez-de-Lacalle [email protected].

H.P. Boswijk and P.H. Franses (1996), Unit roots in periodic autorregressions. *Journal of Time
series Analysis*, **17**, pp. 221-245.

P.H. Franses: Periodicity and Stochastic Trends in Economic Time Series (Oxford University Press, 1996).

Osterwald-Lenum, M. (1992), A Note with Quantiles of the Asymptotic Distribution of the Maximum
Likelihood Cointegration Rank Test Statistics: Four Cases. *Oxford Bulletin of Economics and
Statistics*, **54**, pp.461-472.

`fit.ar.par`

, `fit.piar`

, and `LRur.partsm-class`

.

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