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An approach was recently suggested to improve prediction process of the value of the finished product within contexts featuring low amount of data (D’Amato, 2015a; D’Amato, 2015b). This is a main issue, since it affects the evaluation of developed lands as well as investment properties under construction. The lack of data is one of the difficulties encountered in the evaluation process. The assessor may happen to face lacking data in a market segment even in a transparent market. Unlike exact science observations, real estate information is not repeatable, either in time or space. Therefore, approaches providing value judgments, even with low amount of information, are scientifically and professionally effective. This paper describes the operating application of a procedure called MCA, used to determine the estimating equation through a low number of comparable data (D’Amato, 2015), to a reduced data table for the prediction of the placement value of properties under construction. Starting with the MCA application, the estimating equation is determined by using procedures for the determination of marginal prices (Simonotti, 1997). This application concerns the determination of the estimating equation related to the residential apartment market in Santo Spirito district in Bari.
