A number of factors are seen to positively affect licensee income. The low-income group has a significantly higher variable mean for participation in residential sales. In this paper we forecast demand for existing single-family housing in the United States. We then find that sales and price are cointegrated. We find that there exists a bidirectional causality relationship between sales and price.
Price affects sales significantly and sales affects price weakly.
With the VAR model we then forecast sales and price for existing single-family housing during the period 1991 to 1994 by using a recursive method. We find that our predictions for sales and price fit the actual data well. This study examines the economics of the optimal footprint area, atrium area, and height of an office building. These authors under-emphasize the typical valuation scenario that involves extremely small samples. Rank transformation regression is suggested as one approach that can be used to extract the buying trend.