品質を考慮した中古マンション価格モデルの推定

概要

論文の詳細を見る
We developed a database system whose data originates from 'Housing Information Weekly' by RECRUIT CO. LTD and analyzed secondhand housing market by investigating its information containing property price and the qualities. The price data is `asking price' which once appeared on and finally disappeared from the media. About 50 thousand pieces of information for Tokyo, Chiba, Kanagawa and Saitama are added annually to the database. Because of a large number of transactions in the secondhand housing market, data of Tokyo ward area are chosen for this analysis. We utilized a set of data including the disappeared asking prices and made an accurate and comprehensive estimation of hedonic price regression model on the basis of fact finding that trace of successive asking price from its appearance to disappearance approximates to the transacted one. Finally, together with ordinary dummy variables, we introduced a set of sequentially arranged dummy variables instead of major regressive variable of hedonic price function and scrutinized its continuity and monotonicity. The pattern of coefficients of sequential dummy variables indicates existence of nonlinearity of regression function as well as structural change which is detected by conventional dummy variable method.
麗澤大学の論文