Hedonic models can accommodate non-linearity, variable interaction, and other complex valuation situations. Hedonic models are most commonly estimated using regression analysis, although some more generalized models such as sales adjustment grids are special cases which do not.Īn attribute vector, which may be a dummy or panel variable, is assigned to each characteristic or group of characteristics. This requires that the composite good (the item being researched and valued) can be reduced to its constituent parts and that those resulting parts are in some way valued by the market. It decomposes the item being researched into its constituent characteristics, and obtains estimates of the contributory value for each. In economics, hedonic regression, also sometimes called hedonic demand theory, is a revealed preference method for estimating demand or value.
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