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From |
Michael Foster <mike4kids@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: scaling |

Date |
Sat, 17 Nov 2007 11:24:25 -0500 |

yes, that would be fine.

If you log Y, that may have conceptual implications that you may not want.

Generally speaking, it's desirable to have your explanatory variables on roughly the same scale.

So you might not want to scale Y as much as scale the X's and scale them by different amounts.

/michael

Renuka Metcalfe wrote:

Dear Statalisters

I am using a cross-section data. I am looking at the

impact of "x" on "Y", runing an OLS. I ran something

like

.regress Y x1, x2, x3

Some of my coefficients are very large. For example,

648.

I cannot log the dependent variable, since some of the

some workplaces had minus "Y".

I guess I could divide "Y" by 1000. But I not certain

if this would be correct.

I would be grateful, if anyone would let me know, how

I could scale these coefficients so that they are a

lot smaller.

Thank you

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**References**:**st: scaling***From:*Renuka Metcalfe <rm18203@yahoo.co.uk>

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