Michael P Jacobs MAI
Member
- Joined
- Jun 2, 2007
- Professional Status
- Certified General Appraiser
- State
- Florida
Multi regression is where the true rocket science begins - learning to produce a statistically significant AND internally cohesive model requires far more than just learning how to set up our software and data-mining. It is way over the head of most appraisers. I'm not the sharpest pencil in most rooms, but I spent considerable time and effort trying to make it work in an extremely homogeneous area San Diegian's will recognize: mid-1980s Mira Mesa. This was about 30 years ago when everything was still fairly new without a lot of variance between homes, and I could find excellent 100+ samples within a year or so, with the same room count if not the same plan. It was a nearly perfect environment for a Master's Thesis and nobody was doing it - also, I was in "love with the process" back then (not married). Excel tools haven't changed much, actually, since then either. My r-square was always above 90% and it compelled me to start the econometrics masters at SDSU I mentioned earlier.I ran a set of data that illustrates your point. I did a single regression, haven't figured out multiple regression with it yet.
The problem was that darned heteroscasticity lol. Even if I could correct for auto-correlation and all the other stuff I've forgotten, the predictive ability of my models broke down and, while close, I could tell my forecasts were not good enough to really nail values consistently. In short, at the time nobody was going to hire me FOR this process, and I realized nobody was going to keep hiring me after I killed several deals with it (which I confirmed I would have been in error). I also tried but failed to reach any meaningful (and repeatable) confidence levels in more heterogeneous neighborhoods since they required a greater number of variables (i.e. room counts). In short, I had to do the adjustment grid anyway.
Well, I met a lot of girls at SDSU of course, and being only a couple of years older and a fit USMC reservist with his own business I was pretty much in trouble after the first month. For the practical hours I spent trying to make the data match the textbooks I gained a lot of insight but preferred all of the other things San Diego had to offer: girls, Mexico, surfing, boating, fishing, and nearby deserts, mountains and of course bars. Eventually, the endorphin rush of briefly seeing 3D data in a 4th dimension lost out to other kinds of endorphin rushes.
Their modeling may be more mainstream but has't improved much today - I live in a homogeneous neighborhood with just a few variables to worry about and the models they run for refinance screening can't seem to account for our larger lot with afternoon-shade on a lake compared to a postage size fenced lot with the sun scorching their rear patios across the street. Actually, they could but it would take somebody paid more than the appraiser to customize the model they're using, and since the whole idea is time and cost-savings they'd rather short the loan amount. Why they keep hiring THAT program over an appraiser doesn't really add-up, does it?
