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From |
David Airey <david.airey@Vanderbilt.Edu> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
Re: st: Program to drop insignificant variables from an equation |

Date |
Wed, 20 Aug 2008 08:12:20 -0500 |

Why not stepwise regression? Sent from my iPhone On Aug 19, 2008, at 5:44 PM, XandeR XandeR <xanderx@mail.ru> wrote:

Hello.

I want to make a script that automatically one by one drops insignificant variables from a regression, starting from the most insignificant one. I am currently writing MSc dissertation and I am running regression with 3 variables and 312 dummies not all of which are significant. So it would be a great help if the STATA could do it for me.

The syntax of the regression is:

reg offer timedum* mean stdev skew id*, noconst cluster(show_id)

where mean stdev and skew are independent variables and timedum* and id* are six time dummies and 306 cross-sectional dummies. On my own I got as far as generating a vector of t-stats (the program for that follows in the end of this message). However I do not know what to do next with it. My critical value for this program is 1.96 (although it would be even better to make STATA to calculate a critical value as well).

Hope any of you guys can help me out.

Thank you very much in advance.

Regards

Alex

My script for generating a vctor of t-values:

set more off

matrix A = e(b)

matrix B = e(V)

local a = rowsof(B)

di "a is `a'

local c = ""

matrix T=J(`a',1,0)

forval i=1/`a' {

matrix T[`i',1] = el(A,1,`i')/sqrt(el(B,`i',`i'))

}

*

* For searches and help try:

* http://www.stata.com/help.cgi?search

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**References**:**st: Program to drop insignificant variables from an equation***From:*XandeR XandeR <xanderx@mail.ru>

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