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

Select the best lag for threshold cointegration regression by AIC and BIC

1 2 |

`y` |
dependent or left-side variable for the long-run regression. |

`x` |
independent or right-side variable for the long-run regression. |

`model` |
a choice of two models, either tar or mtar. |

`maxlag` |
maximum number of lags allowed in the search process. |

`thresh` |
a threshold value. |

`adjust` |
logical value (default of TRUE) of whether to adjust the window widths so all regressions by lag have the same number of observations |

Estimate the threshold cointegration regressions by lag and then select the best regression by AIC or BIC value. The longer the lag, the smaller the number of observations availabe for estimation. If the windows of regressions by lag are not ajusted, the maximum lag is usually the best lag by AIC or BIC. Theorectially, AIC and BIC from different models should be compared on the basis of the same observation numbers (Ender 2004). `adjust`

shows the effect of this adjustment on the estimation window. By default, the value of `adjust`

should be TRUE.

Return a list object of class "ciTarLag" with the following components:

`path` |
a data frame of model criterion values by lag, including |

`out` |
a data frame of the final model selection, including the values of model, maximum lag, threshold value, best lag by AIC, best lag by BIC |

Two methods are defined as follows:

`print`

:This shows the

`out`

component in the returned list.`plot`

:This demonstrates the trend of AIC and BIC changes of threshold cointegration regressions by lag. It facilitates the selection of the best lag for a threshold cointegration model.

Changyou Sun ([email protected])

Enders, W. 2004. Applied Econometric Time Series. John Wiley & Sons, Inc., New York. 480 P.

Enders, W., and C.W.J. Granger. 1998. Unit-root tests and asymmetric adjustment with an example using the term structure of interest rates. Journal of Business & Economic Statistics 16(3):304-311.

1 | ```
# see example at daVich
``` |

```
Loading required package: erer
Loading required package: lmtest
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
Loading required package: gWidgets
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.