1985 was the first year considered. It was coincidentally a year in which housing started a bull run. Going back to 1976 and eliminating most of the latest bubble years would show a different story. How can historically unprecedented RE bubble data be used in determining normal valuations? That’s crazy. The article was a simplistic attempt to rationalize high valuations.
Hehe, I though all the same things, but wanted to see what I was missing. I like the comment about torturing stats to confess what you want them too. This is water boarding Dick Cheney style. Sadly I think it will be used to justify alot of really bad behavior.
Hehe, I though all the same things, but wanted to see what I was missing. I like the comment about torturing stats to confess what you want them too. This is water boarding Dick Cheney style. Sadly I think it will be used to justify alot of really bad behavior.
Hehe, I though all the same things, but wanted to see what I was missing. I like the comment about torturing stats to confess what you want them too. This is water boarding Dick Cheney style. Sadly I think it will be used to justify alot of really bad behavior.
Hehe, I though all the same things, but wanted to see what I was missing. I like the comment about torturing stats to confess what you want them too. This is water boarding Dick Cheney style. Sadly I think it will be used to justify alot of really bad behavior.
Hehe, I though all the same things, but wanted to see what I was missing. I like the comment about torturing stats to confess what you want them too. This is water boarding Dick Cheney style. Sadly I think it will be used to justify alot of really bad behavior.
“Second, we caution against over
interpreting the metrics since the historically
normal dispersion of valuations is quite wide.
Specifically, our model has a standard deviation in
house price valuations of +/-14 percent, meaning
that any valuation between 14 percent overvalued
and 14 percent undervalued should be considered
statistically normal.”
“Second, we caution against over
interpreting the metrics since the historically
normal dispersion of valuations is quite wide.
Specifically, our model has a standard deviation in
house price valuations of +/-14 percent, meaning
that any valuation between 14 percent overvalued
and 14 percent undervalued should be considered
statistically normal.”
“Second, we caution against over
interpreting the metrics since the historically
normal dispersion of valuations is quite wide.
Specifically, our model has a standard deviation in
house price valuations of +/-14 percent, meaning
that any valuation between 14 percent overvalued
and 14 percent undervalued should be considered
statistically normal.”
“Second, we caution against over
interpreting the metrics since the historically
normal dispersion of valuations is quite wide.
Specifically, our model has a standard deviation in
house price valuations of +/-14 percent, meaning
that any valuation between 14 percent overvalued
and 14 percent undervalued should be considered
statistically normal.”
“Second, we caution against over
interpreting the metrics since the historically
normal dispersion of valuations is quite wide.
Specifically, our model has a standard deviation in
house price valuations of +/-14 percent, meaning
that any valuation between 14 percent overvalued
and 14 percent undervalued should be considered
statistically normal.”
