System and method for providing an adjusted weighted repeat sale index
View Patent ↗Systems, methods, and computer-readable storage media are described for estimating real estate property values based on an adjusted repeat sales model. In one exemplary embodiment, a computer-implemented method comprises calculating data for estimating the adjustments from aggregated levels to disaggregated levels by marking a first transaction to a second transaction using a repeat sales house price index function at an aggregated level; determining, using the calculated data, an estimate of the deviation between the repeat sales house price index at the aggregated level and a repeat sales house price index at a disaggregated level; and calculating the repeat sales house price index at the disaggregated level based on the determined estimate of the deviation from the aggregated level.
1. A computer-implemented method for adjusting a weighted repeat sales index using at least one processor, the method comprising:
calculating, by the at least one processor, data for estimating adjustments from aggregated levels to disaggregated levels by marking a data element representing a first transaction to a data element representing a second transaction using a processor-implemented repeat sales house price index function at an aggregated level;
determining, by the at least one processor using the calculated data, an estimate of deviation between the repeat sales house price index at the aggregated level and a repeat sales house price index at a disaggregated level; and
calculating, by the at least one processor, the repeat sales house price index at the disaggregated level based on the determined estimate of the deviation from the aggregated level, wherein the adjusted weighted repeat sales index produces an estimated index function.
2. The computer-implemented method of claim 1 , wherein the deviations are estimated as a function of time spline variables.
3. The computer-implemented method of claim 2 , wherein an increase of a number of knot points of the time spline increases the accuracy of the estimated index function.
4. The computer-implemented method of claim 1 , wherein the aggregated level is one of the geographic regions within the United States of America or a state.
5. The computer-implemented method of claim 1 , wherein the disaggregated level is a county, a zip code area, or a census tract.
6. A system for adjusting a weighted repeat sales index, the system comprising:
means for calculating data for estimating adjustments from aggregated levels to disaggregated levels by marking a data element representing a first transaction to a data element representing a second transaction using a processor-implemented repeat sales house price index function at an aggregated level;
means for determining, using the calculated data, an estimate of deviation between the repeat sales house price index at the aggregated level and a repeat sales house price index at a disaggregated level; and
means for calculating the repeat sales house price index at the disaggregated level based on the determined estimate of the deviation from the aggregated level, wherein the adjusted weighted repeat sales index produces an estimated index function.
7. The system of claim 6 , wherein the deviations are estimated as a function of time spline variables.
8. The system of claim 7 , wherein an increase of a number of knot points of the time spline increases the accuracy of the estimated index function.
9. The system of claim 6 , wherein the aggregated level is one of the geographic regions within the United States of America or a state.
10. The system of claim 6 , wherein the disaggregated level is a county, a zip code area, or a census tract.
11. A non-transitory computer-readable medium storing program instructions for performing, when executed by a processor, a method for adjusting a weighted repeat sales index, the method comprising:
calculating data for estimating adjustments from aggregated levels to disaggregated levels by marking a data element representing a first transaction to a data element representing a second transaction using a processor-implemented repeat sales house price index function at an aggregated level;
determining, using the calculated data, an estimate of deviation between the repeat sales house price index at the aggregated level and a repeat sales house price index at a disaggregated level; and
calculating the repeat sales house price index at the disaggregated level based on the determined estimate of the deviation from the aggregated level, wherein the adjusted weighted repeat sales index produces an estimated index function.
12. The computer-readable medium of claim 11 , wherein the deviations are estimated as a function of time spline variables.
13. The computer-readable medium of claim 12 , wherein an increase of a number of knot points of the time spline increases the accuracy of the estimated index function.
14. The computer-readable medium of claim 11 , wherein the aggregated level is one of the geographic regions within the United States of America or a state.
15. The computer-readable medium of claim 11 , wherein the disaggregated level is a county, a zip code area, or a census tract.