Does anyone add "quantifiable market-derived methods" to support their adjustments? I'm in the mortgage business, but also have my appraisal certification, and I don't see the fee appraisers including this. Personally I think paired sales analysis is only possible in theory and all appraisers have to rely on their experience for their adjustments. Do the people in DC actually believe appraisers can, and will, include quantifiable market-derived support for their adjustments?
I am in the process of putting together my final "group" of interlinked websites to support my published documentation, notes, R, Python and C++ programs for MARS regresssion, Neural Networks, Cluster Analysis, Multi-Dimensional Scaling, and other methods for objectively analyzing housing markets.
You can get a peek at
https://valuationengineer.com, which is my OJS publication journal. In the menu is "Substack" - which, if you click on it, will take you to my Substack site - which has only one now, but eventually many articles that will then jump back to Quarto code and graph sites for demonstrating various valuation techniques. Right now, there is just one 'Simple R Earth Program". Click on that and then click on "Go To Simple R Earth Program". (A current more direct link would be:
https://quarto.valuationengineer.com/analysis.html ). - That takes you to my Quarto website hosted in Lithuania. Then you will see a simple R program that calls the CRAN Earth package to run the Earth version of MARS on some sample data that I had Claude create (almost out of thin air). Now, it isn't the best data, and I had Claude generate (to save time) the sample hyperparameters I would never myself use (e.g. I don't use varmod.method="earth"). So, if you scroll down, you will see some neat-looking diagrams that show/display your "quantifiable market-driven methods". However, Claude seemed to think, for example, it could generate condition data - well, that rarely works. And its models have decent R2 values - but since the data was totally unrealistic, the resulting models are not realistic. That will eventually be modified with more realistic versions of everything. But you can get an idea of what the 'real thing' is.
I keep telling my son-in-law, who has a Ph.D. in GeoStatistics ( and Petro Engineering) from Stanford, that I am the world's best residential appraiser. I am. But he gives me that look of course, - as well he wouldn't know - his "specialty" is becoming a new fangled "Energy Broker" - using AI. And, whereas I use MARS, he uses advanced Kriging. Anyway, that is beside the point. And understand - I don't have any sense of bragging here - it is what it is - I am, as far as I know, the only one in the world with significant experience using MARS for advanced appraisal. I would be happy if there were others, and maybe there are. Eventually, there certainly will be.
But in any case, this is all unfolding on my websites. I have to tie in to Jupyter and some other websites, so subscribers can actually execute code online - so this will eventually become an interactive website with the most advanced valuation methods - for appraisers who can handle non-parametric statistics, programming in R, Python and C/C#/C++, neural networks (AI), matrix algebra and partial differential equations.