What does this have to do with R? Post on a statistics list,like stats.stackexchange.com instead, please.
Cheers, Bert On Thu, Sep 12, 2013 at 11:08 AM, Gary Dong <pdxgary...@gmail.com> wrote: > Dear R users, > > I have a question regarding using logged ratio as dependent variable in > regression. I am reading a paper discussing how a waste management facility > has influenced housing price in surrounding areas. The author used > Ln(P2/P1) as the dependent variable, where P1 and P2 represent trade prices > of the same property before and after the opening of the facility. One key > explanatory variable is the distance from the property to the facility. The > author used spatial lag models to control for spatial autocorrelation > between nearby properties. > > The author explained in the paper that the logged ratio is equivalent to > the percentage change in the property price between time 1 and time 2. > Thus, if the coefficient of the distance variable is 0.02, it means that > with 1 mile closer to the facility, homes have a net appreciation rate 2% > lower than comparable properties. > > I wonder if this is the appropriate way to interpret model results. If yes, > I also wonder how the distance coefficient should be interpreted if the > distance variable takes natural log form in the regression. Thank you! > > Gary > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
