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Why can't we band together on Feb 4th?

The MLS search fields are so simple to use, one could search for properties of a certain sf or other benchmarks in X area with any feature in this case a pool, then check without a pool and compare median, average prices.
 
Hear the link for everyone crying about rural markets. It’s this easy if you’re willing to spend $40 (?) per month:

 
Hear the link for everyone crying about rural markets. It’s this easy if you’re willing to spend $40 (?) per month:

Folks are way over thinking this. Below is a table from the State Department of Revenue. Comparing Total Value from Tax Year 2024 to that of Tax Year 2023 reveals no change. Mark "Stable" market and put "0" in each grid column and move along.
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Folks are way over thinking this. Below is a table from the State Department of Revenue. Comparing Total Value from Tax Year 2024 to that of Tax Year 2023 reveals no change. Mark "Stable" market and put "0" in each grid column and move along.
View attachment 96060

As I mentioned in another thread, True Footage is attempting to capitalize on this Fannie mandate. However, unless you are appraising in a cookie-cutter market, these techniques are likely to fail.
 
As I mentioned in another thread, True Footage is attempting to capitalize on this Fannie mandate. However, unless you are appraising in a cookie-cutter market, these techniques are likely to fail.
No where have I seen any indication that veracity matters. Lyle the key rat apparently advanced the new standard that, "Something is better than nothing." The Selling Guide states that the FHFA HPI meets their standards for support. Here, the assessor has information on "all" sales (without which deeds are not recorded) so their conclusions have to have broader support with local knowledge compared to FHFA and the other blackbox vendors.
 
Most definitely its important to understand a particular market's preferences. The decision to adjust or not, though, should be made for each assignment - not as a general rule of thumb. And the methodology for said adjustment should be quantifying support for the adjustment. To Terrel's point, if adding that variable into the regression results in janky R's or a larger residual, or low t (not testosterone), etc., then fireplace shouldn't be an element of comparison. In Texas - that will generally be the case, unless - again to Terrel's point - you could transform 'quality' into a binary variable and add that to the model. In any case, some data sets may suggest fireplace adjustment and others not. That's part of the analysis.
In Texas, you can have 1-4 fireplaces in a higher quality house. It is ridiculous that some think they have no contributory value. What about a patio fireplace which is quite a trend right now? What does your fancy smancy Spark graphs have to say about fireplaces?

My point is that one should not dismiss fireplaces as having no value because some appraiser in never-never land says so.
 
In Texas, you can have 1-4 fireplaces in a higher quality house. It is ridiculous that some think they have no contributory value. What about a patio fireplace which is quite a trend right now? What does your fancy smancy Spark graphs have to say about fireplaces? What if all the sales have a fireplace, but your subject does not?

My point is that one should not dismiss fireplaces as having no value because some appraiser in never-never land says so.
 
The MLS search fields are so simple to use, one could search for properties of a certain sf or other benchmarks in X area with any feature in this case a pool, then check without a pool and compare median, average prices.
They are simple to use, but agents put things in differently.
 
In Texas, you can have 1-4 fireplaces in a higher quality house. It is ridiculous that some think they have no contributory value. What about a patio fireplace which is quite a trend right now? What does your fancy smancy Spark graphs have to say about fireplaces?

My point is that one should not dismiss fireplaces as having no value because some appraiser in never-never land says so.
The operative word there being "quality". Fireplaces, Thermopane windows, granite counters, hand scraped hardwood flooring, special ceiling treatments, etc. all typically demonstrate enhanced marketability when compared with homes lacking those features. Trying to support individual adjustments for those factors in a credible manner, however, is another thing entirely. Particularly when dealing with a paucity of available data. A fireplace adds exactly how much value to a typical home? 1%? 2%? 50% of the depreciated cost of the feature? Should the adjustment be derived from the unicorn "paired sale" which occurred three years ago under a completely different supply & demand dynamic? Or from the result of an assuredly flawed regression analysis which suggests $40,000? Could it have been the fancy tray ceilings & Italian marble flooring instead? There is no way to properly qualify the typical data set for automated analysis within any reasonable timeframe for important factors like that because there are no consistently utilized fields in the MLS containing them. There has to be a confluence of minor value influencing factors such as "fireplaces, windows & flooring" in a comparable to generate a credible adjustment from me out here in the sticks, where nonconforming properties are the norm. And it is typically reflected on the "quality rating" line of the grid, supported by narrative. No doubt AI assisted AVMs will fake up individual adjustments for everything under the sun, however, to impress the client with their "preciseness". Nobody looking over their shoulder and calling BS.
 
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