Wednesday, November 14, 2018

Update on the Eminent Domain Case in Seoul










The dependent variable that the valuation algorithm solves for is the price per square meter of land area, not building area, because land in Seoul is worth far more than most buildings on it due to the shortage of land.
Notice that almost every input variable is a dummy variable. Dummy variables are binary variables with the value of 1 or 0, depending upon the presence or absence of a particular condition, such as being “adjacent to a narrow road”.
There are only two quantifiable input variables in this model: the land area and the distance to railways or highway. Missing from this model are so many quantifiable variables such as distance to subway stations, distance to shopping, distance to schools, quality of schools, floor area ratio (ratio of building area to land area), and land slope.




Public assessment agencies often conduct their own internal assessment/sales ratio studies (or sometimes sales price/assessment ratio studies) to calibrate their systems.  Some masterful studies have been published by the states of Washington and Virginia in the U.S.

The Korean client’s lawsuit against the private taking ultimately lost in Korean courts, but the treaty between the U.S. and the Republic of Korea mandates an international arbitration for a U.S. citizen.  We expect to be heard at the International Arbitration Centre in Hong Kong.











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