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[#6031] standard error of prediction and weights

Date:
2015-02-24 14:13
Priority:
3
State:
Open
Submitted by:
florian oswald (floswald)
Assigned to:
Nobody (None)
Hardware:
Macintosh
Product:
None
Operating System:
None
Component:
None
Version:
None
Severity:
None
Resolution:
None
URL:
Summary:
standard error of prediction and weights

Detailed description
hi,

just wanted to submit a feature request: it would be great to have a standard error on the prediction of the expected value of the outcome equation. in terms of your notation, if this is the expected outcome:

E[y|X,Z,w=1] = X %*% beta + rho * sigma * dnorm( Z %*% gamma ) / pnorm( Z %*% gamma )

then I want

Var( E[y|X,Z,w=1] ). Stata uses the delta method to estimate Var(rho*sigma). not sure if implementing this is more or less work than just bootstrapping the whole thing.

http://www.stata.com/manuals13/rheckman.pdf (page 16)

in that document, there's also a simple way to incorporate sampling weights. this would be very useful when working with survey data, which always comes with sampling weights.

thanks!

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