model | R Documentation |
This function is the main function estimating threshold regression for function ptm()
model(r, trim, rep, it, qq1, cf, xt, ct, thresh, tt, qn1, n, qn, cc, yt, ty, k)
r |
vector of threshold estimate(s). |
trim |
value of trimmed percentage. |
rep |
number bootstrap repetition. |
it |
number of regime during computation, used in a for loop. |
qq1 |
defined parameter. |
cf |
special declaration, e.g. lag(). |
xt |
regime independent variables. |
ct |
trace of regime dependent variables. |
thresh |
threshold variable. |
tt |
length of time period. |
qn1 |
as defined by nrow(qq1). |
n |
number of cross-section units. |
qn |
number of quantiles to examine. |
cc |
as defined by 2*log(1-sqrt(conf_lev)). |
yt |
vectorized dependent variable. |
ty |
trace of yt. |
k |
number of regime-independent independent variables. |
Original code offered by Dr. B. E.Hansen (http://www.ssc.wisc.edu/~bhansen/).
Hanse B. E. (1999) Threshold effects in non-dynamic panels: Estimation, testing and inference. Journal of Econometrics,93, 345-368.
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