R help - Apr 2010 - problem on semiparametric single index estimator

Dear R-Help,

I am Deniz.

I am currently trying to replicate a semiparametric sample selection paper
and I am working on Klein and Spady estimator. I am using the npindex() and
npindexbw() functions.
The problem is, I need results for single bandwidth and when I set bandwidth
computation to "FALSE" mode, R is not optimizing anything. Here is the
code
I am using:

rp_ksbw<-npindexbw(bws=c(1, -0.1, -0.08, 0.06, -0.14, -0.02, 0.3),
formula=(rp$participation ~ (AGE + rp$CHILD + rp$YCHILD + rp$HW + rp$EDU +
AGE2)), bandwidth.compute=FALSE, optim.method="Nelder-Mead",
method="kleinspady")

and it is giving me exactly the same values I specified. Here is the result
I got:

Single Index Model
Regression data (2339 observations, 6 variable(s)):

      AGE rp$CHILD rp$YCHILD rp$HW rp$EDU  AGE2
Beta:   1     -0.1     -0.08  0.06  -0.14 -0.02
Bandwidth:  0.3
Optimisation Method:  NA
Regression Type: Local-Constant
Bandwidth Selection Method: Manual
Formula: rp$participation ~ (AGE + rp$CHILD + rp$YCHILD + rp$HW + rp$EDU +
    AGE2)

Continuous Kernel Type: Second-Order Gaussian
No. Continuous Explanatory Vars.: 1



I would be most grateful if you could share your ideas with me.

Thanks a lot in advance

Deniz

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