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2. House price index - Wikipedia

   en.wikipedia.org/wiki/House_price_index

   A house price index (HPI) measures the price changes of residential housing as a percentage change from some specific start date (which has an HPI of 100). Methodologies commonly used to calculate an HPI are hedonic regression (HR), simple moving average (SMA), and repeat-sales regression (RSR).

3. Intellectual property valuation - Wikipedia

   en.wikipedia.org/wiki/Intellectual_property...

   Intellectual property valuation is a process to determine the monetary value of intellectual property assets. IP valuation is required to be able to sell, license, or enter into commercial arrangements based on IP. It is also beneficial in the enforcement of IP rights, for internal management of IP assets, and for various financial processes.

4. Automated valuation model - Wikipedia

   en.wikipedia.org/wiki/Automated_valuation_model

   Automated valuation model. An Automated Valuation Model (AVM) is a system for the valuation of real estate that provides a value of a specified property at a specified date, using mathematical modelling techniques in an automated manner. [1] [2] AVMs are Statistical Valuation Methods and divide into Comparables Based AVMs and Hedonic Models.

5. Downtown St. Paul property values down, residential values up

   www.aol.com/downtown-st-paul-property-values...

   The overall value of downtown apartment buildings declined by 9%. Residential was down 4%, while industrial was down 1%. A 2021 study showed that downtown makes up about 2% of St. Paul's land area ...

6. Here is the true value of having a fully paid-off home in ...

   www.aol.com/finance/true-value-having-fully-paid...

   There’s great news for America’s homeowners: A growing percentage now own their homes outright. No mortgage, no liens, nada. In a November analysis of U.S. Census Bureau data, Bloomberg found ...

7. Propensity score matching - Wikipedia

   en.wikipedia.org/wiki/Propensity_score_matching

   Propensity score matching. In the statistical analysis of observational data, propensity score matching ( PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment. PSM attempts to reduce the bias due to ...