Fannie Mae

Other

Chionglong Kuo

Mark Fleming

A method for estimating a real estate price index based on a repeat sales model. The method includes the steps of eliminating corrupt portions of data used to determine price indices; regressing a difference in a log price of a second sale minus a log price of a first sale for a property on a set of dummy variables, eliminating the observations with zero residuals for estimating the dispersion function; using a quadratic formula to model a dispersion of residual values with respect to time interval; using the quadratic formula to solve for a dispersion for each time interval starting with a minimum positive value; determining a minimum dispersion value that is a value calculated from the quadratic formula; determining a maximum dispersion value that is calculated from the quadratic formula for each time interval starting with a minimum positive value, wherein the dispersion values are prevented from decreasing with increasing time intervals; repeating the step of regressing using the inverse of the square root of fitted values from the quadratic formula as weights; identifying and selecting the time periods and associated data for estimating a price index that covers a particular time period; excluding the index values which are determined to be unreliable; and obtaining an index series for a lower geographic level by using the index series of a higher geographic level.

Method for determining house price indices

The present invention relates to an efficient computer implemented method and system for generating a home price index based on a repeat sales model by calculating the time-dimension frequency matrices (X'X and X&#x2032;&#x3a9;X) and price change matrices (X&#x2032;Y and X&#x2032;&#x3a9;Y) directly without the need to calculate the big X and Y matrices at the dimension of the number of repeat sales. The inventive method may further be used to estimate indices for multiple geographic levels without processing an entire data set to estimate the price indices for each geographic level.

Efficient computation method for determining house price indices

Method for determining house prices indices

A system and method of accurately predicting and reporting a value of a property based on a weighted average of values predicted by at least two prediction models. The system and method include the steps of accessing predicted values, determined by the prediction models, for the property; determining property-specific proportional prediction error distribution information for each predicted value determined by each prediction model; assigning a weight to the predicted value determined by each prediction model by using the property-specific proportional prediction error distribution information; and generating a property-specific weighted average value based on combination of the weight and the predicted value determined by each prediction model and reporting the property-specific weighted average value to minimize prediction error during prediction of the property value.

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Arlington, VA, United States of America

Chionglong Kuo