[R] strucchange Nyblom-Hansen Test?

[buehlerman]

Thank you, things seem to be clearer :-)

> Hansen extended this to the linear regression model and proposed to either
> compute one test statistic per parameter (which you can do with the "parm"
> argument of gefp) or a joint statistic for all parameters. Hansen included
> in "all" parameters also the variance,

The "parm" argument of gefp is a nice feature, but what is about the
significance level in test statistic compuation (sctest)? Is there multiple
testing correction applied or should I rather use for this case the double
max statistic as recommended below?

An excerpt from page 5 of the paper "A Unified Approach to Structural Change
Tests Based obn F Statistics, OLS Residuals, and ML Scores" (Achim Zeileis):
Hansen (1992) suggests to compute this statistic for the full process efp(t)
to test all coefficients
simultaneously and also for each component of the process (efp(t))j
(denoting the j-th component
of the process efp(t), j = 1, . . . , k) individually to assess which
parameter causes the instability.
*Note, that this approach leads to a violation of the significance level of
the procedure if no multiple
testing correction is applied.* This can be avoided if a functional is
applied to the empirical
fluctuation process which aggregates over time first yielding k independent
test statistics (see
Zeileis and Hornik 2003, for more details).

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