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Paired Sales - Supporting Adjustments

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I have hot dreams of neighborhoods that have such similar properties as you mention. I rarely have worked in them, but it's always a really nice change of pace, even like a vacation from appraising. I can remember doing a few where almost all the comps were the same model, built at nearly the same time, in nearly the same condition, the same quality, the same lot size, the.... Now that is where the big money in appraising is!.... and lots of "paired sales"! If only I could click my heels....

It isn't that perfect of a world and like yesterday I spent 4 hours tracking down a paired sale for a view. After you have established a few adjustments in a particular neighborhood for lot sizes, GLA, effective age or whatever, you can reapply those adjustments to fine other adjustments.

Jackson County is considered a rural area, however, we do have subdivisions and that is basically where I can derive most of the paired sales. Rural properties, now that another ball game, but have found some for workshops.

Everytime, I have an assignment I try to put together more paired sales within that market, so that I can keep on building the data.
 
I think its fine to build and maintain such a list, but I don't know if it should be published in its entirety. You really need to understand the provenance of such a thing to properly understand when you might be mis-applying the adjustments.
 
You are so correct, however, after you have found say an adjustment for GLA and you are searching for a pool adjustment in the same market and the only difference is a pool and GLA, then you can apply the GLA and there is your pool adjustment.



Sure, once the appraiser has the data set (no other adjustable item other than GLA) to isolate the adjustment for GLA, the adjustment for the pool is easy.

Again, easy in theory, but (realistically) not so easy in practice.
 
"Perfect sets of comparables that vary in a single, identifiable respect are rarely found."

Appraising Residential Properties, 3rd edition, Appraisal Institute, page 355.
 
I gave up looking for paired-sales once I finished my demo report.
They're scarce as wise judges, or truthful lawyers, and they're subjective IMHO.
Today I'm happy pulling a few hundred fairly similar sales over a period of time,
all in same locale, & comparing sale prices with/without whatever amenity it is I'm concerned about.
.
 
I've never been married to paired sales. The absurd results you can get means it is often hopelessly wrong. By mixing both Regression and paired sales you can sometimes get a better result but again, if I actually created a formal "paired" sales data set, I bet I could plot the results against the dollar value of the house and it would assume some sort of expotential change with home value...
 
I've never been married to paired sales. The absurd results you can get means it is often hopelessly wrong. By mixing both Regression and paired sales you can sometimes get a better result but again, if I actually created a formal "paired" sales data set, I bet I could plot the results against the dollar value of the house and it would assume some sort of expotential change with home value...

Thank you. Thank you. Thank you.

When I lived in Las Vegas it wasn't that unusual to find paired sales when appraising simple model match homes. That being said, for every pair I found, I could usually find three more that indicated something completely different. Regression has certain advantages, but it too can, (and does) yield misleading results. If regression was so great, AVMs would have put us out of business long ago. Paired sales, even under idyllic imaginary conditions, would only yield accurate results in an absolutely identical circumstance and in an absolutely static market. Personally I've never encountered either - even when appraising two simple, model match properties on the same street, within a few weeks of each other. Something is always different. When one part moves, it affects one or more of the other parts. Appraisals have lots of moving parts. Most of the time, in the appraisal of residential properties, the key to accuracy and reliability is experienced qualitative analysis - these qualities are not typically obtained through paired sale or qualitative analyses. The funny thing is, my files, and my reports, probably have more quantitative analysis in them than most, but these analyses are usually for those elements of the reports which lend themselves well to such analysis.

I just sent a residential report out this afternoon that involved three distinct market conditions analyses. Due to the overall paucity of data in the subject's area, I decided to approach the problem from a multitude of directions. Analysis A yielded a rate of depreciation of about one and a half percent per month. Analysis B yielded a rate of depreciation of about one percent per month. Analysis C yielded a rate of appreciation of about one and a half percent per month. If you don't think I had to temper these statistics with some serious local knowledge and experience - think again. Conversely, as this report was prepared to assist the homeowner and a realtor with the establishment of likely sale and listing prices, I also performed a sale to list price ratio analysis. This gem was really helpful. I was able to derive a general pattern of list to sale price ratios, and, to temper it with a bit of common sense, as the subject is a high end property for the neighborhood, and the high end properties in the neighborhood tend to have list to sale ratios a few points lower than the median. The point here is, that although I prepared eight or ten tables to help me appraise this property, none of them were made part of the report, and, in the majority of the places where the rubber met the road, the calls were made qualitatively.
 
I just sent a residential report out this afternoon that involved three distinct market conditions analyses. Due to the overall paucity of data in the subject's area, I decided to approach the problem from a multitude of directions. Analysis A yielded a rate of depreciation of about one and a half percent per month. Analysis B yielded a rate of depreciation of about one percent per month. Analysis C yielded a rate of appreciation of about one and a half percent per month. If you don't think I had to temper these statistics with some serious local knowledge and experience - think again. .

I normally find myself doing the same for the same reasons; most often reconciling three approaches. Each approach has its sucking points, so I need to reconcile the data. I like it when I can throw in some same home resales where nothing changes significantly with the homes during the holding period (as evident looking at descriptions and photos); however, they are tough to find even in rather dense areas, and nearly impossible in custom mountain neighborhoods of far less density.
 
however, they are tough to find even in rather dense areas, and nearly impossible in custom mountain neighborhoods of far less density.

Analysis B: I found one sale-resale - custom home - mountain neighborhood. Analysis A was a six month over six month unit price analysis within the subject's neighborhood, and analysis C was a six month over six month unit price analysis over a wider geographic area, which included the majority of the subject's small town. Analysis C was the one with lots of data - twenty-five units in the past six months and seventeen in the six months prior. All unique custom homes, of course - widely divergent everything - ages from new to many decades old, shacks to about 5,000 SF, poor to very good quality, 9,000 SF lots to acreage, it goes on and on like that. Sounds a bit like what you deal with.
 
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