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- From: gyan@unixg.ubc.ca (Gyan P. Sinha)
- Newsgroups: sci.math.stat
- Subject: Estimation of spline join points? References, suggestions?
- Date: 15 Dec 92 21:42:39 GMT
- Organization: The University of British Columbia
- Lines: 41
- Message-ID: <gyan.724455759@unixg.ubc.ca>
- NNTP-Posting-Host: unixg.ubc.ca
- Summary: Estimating Spline join points
- Keywords: Splines, join points, Maximum-Likelihood
-
- Hello all:
-
- I am estimating the parameters of a censored regression model
- (panel tobit), and one of the variables has a non-linear effect on
- the dependent variable. I am trying to use a spline to model this,
- and its defined as:
-
- V1 = THETA + MIN(DIFF-THETA,0)
- V2 = MAX(DIFF-THETA,0)
-
- so that if DIFF is less than THETA, then the effect on the dependent
- variable is different than when it is larger, and V1 and V2 are the
- two secondary independent variables created from the DIFF variable.
- Instead of imposing a value on THETA, I'd like to be able to estimate
- it from the data itself.
-
- My questions are:
-
- (1) OPTIMIZATION STRATEGY: ML estimation will require some type of
- non-gradient technique (?), so how do I get the asymtotic t-stats and
- such?
-
- (2) MEANING OF T-STATS: If I am estimating the join point from the
- data itself, does that require some special tweaking on the t-ratios
- to get legitimate tests of significance?
-
-
- (3) REFERENCES: Can anyone suggest references that I can explore on
- this problem?
-
- (4) ALTERNATIVES: Can anyone suggest alternatives that would allow for
- similar effects, other than introducing a polynomial in DIFF, of which
- I'm already aware of.
-
- Thanks for any assistance.
-
-
- Seasons Greetings!
-
- Gyan P. Sinha
- UBC, Vancouver.
-