No MMing5000. My first paragraph in statement #15 says it all. The subsequent (2nd) paragraph illustrates what happens when you apply your metric for a homogeneous area of homes (all are like in age and part of the same subdivision) to other areas which are not. Nowhere did I say or imply that a broad and more encompassing neighborhood description is better. I am saying, the description of the neighborhood is up to the appraiser. You know, analyze the surrounding uses and influences on your property and those that are also influenced by those same elements.GWISC - "the neighborhood descriptions are up to the appraiser"... basically what you are implying is, the broader and more encompassing the better... so whnot just use the whole county or who state since your subject is located within that state.
It seems you have a problem with "white people".Last year I went to this town to check out a property to buy. I decided to visit this new home subdivision to get an idea of what new home prices were going for.
The agent said this subdivision goes to the adjacent city's school district. I understood what she meant (more white people).
Thus, school district plays a role in selecting comps.
Often times streets are blocked to control/feed traffic to Traffic light controlled intersections of major roads.Last month, I did an appraisal in this area which I have done for years. My subject is in poorer part of town sort of in the bario.
Driving around for comps, I went into this nearby section of homes and I realized the streets were blocked going into the bario.
All these years I didn't noticed it but the pocket of white people had blocked the streets within the two neighborhoods.
The blockage must have occurred over 40 years ago and had helped keep their neighborhood prices higher.
Imagine an unscrupulous appraiser needing to get higher values, getting comps from that neighborhood.
As long as you can develop an adjustment model that accounts for 95%+ of the price variance between sales in the subject neighborhood or market area, you can make the neighborhood whatever you want, IMO. The neighborhood is just another factor you can put in your model to improve the R2, or narrow the adjusted sale prices between comps. However, almost invariably, having good neighborhood definitions is important to developing accurate price adjustment models.
However, in some areas, especially those where there are scattered upgrades of all calibers done to homes of all ages, condition and quality, neighborhood definitions may not be that important. I mean you can almost always find some adjustment between neighborhoods, it is just that it can be so small compared to other factors, that you might want to throw it out rather than deal with it. School districts might very well be more important. Or geology (earthquake country), or flood plain or any other number of factors loosely to very loosely related to location, i.e. neighborhood.
Now having said that, if an appraiser presents a price adjustment model he developed using matched pairs analysis on a few sales hand-selected from a large multi-neighborhood area. That would be HIGHLY suspect. You need to test your model against all sales for the past 1-3 years, IMO.
You can do a simple analysis by determining the Average/Median Site Value difference between two neighborhoods. That will reveal the location difference.I will run descriptive statistics between neighborhoods to get an idea if there is a difference. I then add Location into the model and see if it can pick up a difference, i.e., adjustment.