Method for determining house prices indices

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Reexamination Certificate

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Reexamination Certificate

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07822691

ABSTRACT:
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.

REFERENCES:
patent: 5361201 (1994-11-01), Jost et al.
patent: 5675553 (1997-10-01), O'Brien et al.
patent: 5893069 (1999-04-01), White, Jr.
patent: 6401070 (2002-06-01), McManus et al.
patent: 6510419 (2002-06-01), Gatto
patent: 6609109 (2003-08-01), Bradley et al.
patent: 6609118 (2003-08-01), Khedkar et al.
patent: 6681211 (2004-01-01), Gatto
patent: 6842738 (2005-01-01), Bradley et al.
patent: 6876955 (2005-04-01), Fleming et al.
patent: 7292790 (2007-11-01), Sardesai
patent: 7366679 (2008-04-01), Yuyama et al.
patent: 2002/0059126 (2002-05-01), Ricciardi
patent: 2003/0046199 (2003-03-01), Murase et al.
patent: 2003/0078878 (2003-04-01), Opsahl-Ong
patent: 2004/0010443 (2004-01-01), May et al.
Kuo, Chionglong. “A bayesian approach to the construction and comparision of alternative house price indices,” Journal of Real Estate Finance and Economics, 1997, 14: 113-132.
Englund, Peter, John M. Quigley, and Christian L. Redfearn. (1999). “The choice of methodology for computing housing price indexes: comparisons of temporal aggregation and sample definition,” Journal of Real Estate Finance and Economics, 19:2, 91-112.
Meese, Richard A., and Nancy F. Wallace. (1997). “The construction of residential housing price indices: a comparision of repeat-sales, hedonic-regression, and hybrid approaches,” Journal of Real Estate Finance and Economics 14(1 & 2), 51-74.
Andrews, R.L.& Ferguson,J.T., “Integrating Judgement with Regression Appraisal”,Real Estate Appraiser and Analyst, Spring 1986, pp. 71-74.
Case, B. & Quigley, J.M., “The Dynamics of Real Estate Prices”,Rev. of Econ.&Stats., Feb. 1991, 73(1), pp. 50-58.
Case, K.E. & Shiller, R.J., “Forecasting Prices and Excess Returns in the Housing Market”,J. of the Areuea, 1990, 18(3), pp. 253-273.
Pace, R.K. & Gilley, O.W., “Appraisal Across Jurisdictions Using Bayesian Estatemation with Bootstrapped Priors for Secondary Mortgage Market Applications”,Prop. Tax J.Mar. 1989, 8 (1), pp. 27-42.
Quigley, J.M., “A Simple Hybrid Model for Estimating Real Estate Price Indexes”,J. Houseing Econ., Mar. 1995,4 (1), pp. 1-12.
Raftery, A. et al., “Model Selection and Accounting for Model Uncertainty in Linear Regression Models”, Nov. 19, 1993, U of Washington, pp. 1-24.
Sessions, D.N. & Chatterjee, S., “The Combining of Forecasts Using Recrursive Tecniques With Non-Stationary Weights”,J. of Forecasts, 1989, 8(3), pp. 239-251.
Archer, W.R. et al., “Measuring the Importance of Location in House Price Appreciation”,J. of Urban Economics,vol. 40, 1996, pp. 334-353.
Case, K.E. & Shiller, R.J., “Prices of Single-Family Homes Since 1970:New Indexes for Four Cities”, New England Economic Review, Sep./Oct. 1987, pp. 45-46.
Case, K.E. & Shiller, R.J., “The Efficiency of the Market for Single-Family Homes”, The American Economic Review, vol. 79(1), Mar. 1989,pp. 125-137.
Stephens, W. et al. “Conventional Mortgage Home Price Index”, J. of Housing Research, vol. 6(3),pp. 389-418.
Vandell, K.D., “Optimal Comparable Selection and Weighting in Real Property Valuation”, Areuea Journal, vol. 19(2), 1991, pp. 213-239.
Case et al., “On Choosing Among House Price Index Methodologies”, Journal of the American Real Estate & Urban Economics Association, vol. 19, No. 3,1991, pp. 286-307.
Abraham et al., “New Evidence on Home Prices from Freddie Mac Repeat Sales”. Journal of the American Real Estate & Urban Economics Association, Fall 1991, vol. 19, Issue 3, pp. 333-352.
Steven Wood “Combining Forecasts to Predict Property Values for Single-Family Residences” Land Economics, May 1976, pp. 221-229.
George W. Gau et al., “Optimal Comparable Selection and Weighting in Real Property Valuation: An Extension” (Journal of the American Real Estate and Urban Economics Association 1992, V20, 1: pp. 107-123.

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