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<p>equation treats these attributes (or bundles of attributes) separately, and estimates prices (in the case of an additive model) or elasticity (in the case of a log model) for each of them. This information can be used to construct a price index that can be used  to compare the price of housing in different cities or to do time series analysis. As with CPI calculations, Hedonic pricing can be used to:  </p>

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* Correct for quality changes in constructing a housing price index. <br/>
* Assess the value of a property, in the absence of specific</p><p>
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