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| From | Maarten Buis <maartenlbuis@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: Right-skewed dependent variable and spatial autocorrelation |
| Date | Thu, 21 Jun 2012 15:56:53 +0200 |
On Thu, Jun 21, 2012 at 3:40 PM, Francisco Rowe wrote: > 1) Normalise the dependent variable and run either a spatial autorregresive or error model. However, normalisation is problematic given the zero values in the dependent variable. Someone suggested that I could use this transformation: y*=log(y+1), so map zeros to zeros. Does it seem appropriate? No, there are many posts on Statalist stating that that transformation is meaningless. > 2) Instead of using the share as dependent variable, use the count of people and run a poisson or zero-inflated poisson model with spatial autocorrelation. A proportion is something very different from a count. 10 bachelors in an area with 10 persons represents a completely different structure than 10 bachelors in an area with a population of a 1000 persons. So what model you used depends on what you want to explain. -- Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/