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Re: st: interpretation for negative and positive slope combination of interaction term


From   Nahla Betelmal <nahlaib@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: interpretation for negative and positive slope combination of interaction term
Date   Tue, 14 May 2013 11:08:56 +0100

Thank you David and Jay for your help and the link. Sorry for the
delay reply as I was not feeling well.

the dependent variable is expressed as ratio (abnormal accrual scaled
by total assets), and the MV is expressed as ratio as well (market
value of assets scaled by total assets). So I think I should have said
:
excessively overconfident bidders have a greater incentive to manage
earnings via accruals, approximately 0.0596 percent  more than rational
bidders for each one percent increase, for MV.


I have also tried the above the average MV ( dummy = 1 if the bidder
MV is higher than the industry). The coefficent for MV above the
industry is -0.0592, and the interaction term for both dummies (OC*MV
above industry)= 0.0782, both are significant. Will that be expressed
as ratio or odds??

I will also try increase the sample size, use other proxy for MV, and
apply log ,  poisson vce(robust)


By the way the book is John Fox (1997), Applied Regression Analysis,
Linear Models, and Related Methods, Sage
Publications

Thanks again, and please any more comments are more than welcome,

Nahla


On 10 May 2013 15:38, JVerkuilen (Gmail) <jvverkuilen@gmail.com> wrote:
> In addition to the sage advice given already, I'll toss out:
>
> http://blog.stata.com/2011/08/22/use-poisson-rather-than-regress-tell-a-friend/
>
> Jay
> --
> JVVerkuilen, PhD
> jvverkuilen@gmail.com
>
> "They were careless people, Tom and Daisy - they smashed up things and
> creatures and then retreated back into their money of their vast
> carelessness, or whatever it was that kept them together, and let
> other people clean up the mess they had made." -- F. Scott Fitzgerald
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