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st: RE: On Bootstrap question


From   "Nick Cox" <[email protected]>
To   <[email protected]>
Subject   st: RE: On Bootstrap question
Date   Thu, 21 Oct 2004 11:22:54 +0100

A problem I can see is that -bootstrap- 
requires an expression list telling it what 
it is that -withinyear- leaves behind
in memory which it should use, but you 
don't give one. -bootstrap- in essence 
is totally in ignorance about which 
results it should use. 

A quite different issue is the appropriateness of 
bootstrapping for time series, if that is what 
your data are. This has been discussed 
quite a lot on Statalist in the last few weeks. 

Nick 
[email protected] 

Chintrakarn, Pandej
 	 
> 	Please set aside your time to look at my program.
> 	I try to run the program on bootstraping eventually to 
> obtain  the standard deviation of "att"(average treatement 
> effect on treated).  In addition my att is computed with 
> controlling for the "year" variable to control for unobserved 
> time effects.
> 	 
> 	Somehow the output reports  
> 	command -> withinyear
> 	an error occurred when command was executed on original dataset
> 	please rerun bootstrap and specify the trace option to 
> see a trace of the commands bootstrap executed
> 	r(198);
> 	 
> 	I have no clue what goes wrong with this.  
> 	My do-file is the following..
> 
> 		adopath + c:\
> 		bootstrap withinyear, reps(500) saving(c:\results) replace
> 
> 		My program is version 8.2 (last updated). my 
> "ado" file is also saved in c:\.
> 
> 		program define withinyear
> 		version 7.0
> 		if "`1'" == "?" {
> 		global S_1 "a1"
> 		exit
> 		}
> 		tempvar x  y0 
> 		tempname att 
> 		capture{
> 		psmatch2  D1  x1 x2 x3  if year==1999, ate logit out( y)
> 		rename _y  `y0'
> 		psmatch2  D1  x1 x2 x3  if year==2000, ate logit out( y)
> 		replace `y0'=_y if year==2000 & _treated==1
> 		psmatch2  D1  x1 x2 x3  if year==2001, ate logit out( y)
> 		replace `y0'=_y if year==2001 & _treated==1
> 		psmatch2  D1  x1 x2 x3  if year==2002, ate logit out( y)
> 		replace `y0'=_y if year==2002 & _treated==1
> 		gen `x'=y -`y0'
> 		summarize `x'
> 		scalar `att'=r(mean)
> 		}
> 		if _rc==0 {post `1' (`att')}
> 		end
> 

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