Примеры использования Hedonic regression на Английском языке и их переводы на Русский язык
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Triplett(2001) has also considered the connection between the two approaches in an excellent survey of the hedonic regression literature.
how exactly should quantity data be used in a hedonic regression study?
quality adjustments based on production costs or hedonic regression) as long as there was evidence that the methods used gave comparable results.
throughout the United States collect the data that are used to calculate the apparel hedonic regression models.
Finally, section 7 generalizes our hedonic model presented in section 2 to a more general situation where completely separate hedonic regressions are run in each period as opposed to running one great big hedonic regression over all periods in the sample.
noted that there is a connection between matched model techniques for making quality adjustments and hedonic regression techniques: essentially,
Thus in this case, a quality adjustment that falls out of a hedonic regression model is equivalent to a"traditional" statistical agency quality adjustment technique,
There is significant difficulty associated with formulating and maintaining hedonic regressions for apparel items.
Hedonic Regressions and the Problem of Package Size.
Invited paper 1:"Hedonic Regressions: A Consumer Theory Approach.
However, the dummy variable hedonic regressions also have some disadvantages.
Hedonic Regressions and Traditional Methods for Quality Adjustment.
Should we choose flexible functional forms when undertaking hedonic regressions?
The difficulty associated with formulating and maintaining hedonic regressions for apparel items is discussed.
One way of using this discarded information is to use the hedonic regressions in order to impute the missing prices.
Thus I would lean towards ruling out running hedonic regressions based on the linear model(16)
Linear hedonic regressions are difficult to justify on theoretical grounds(at least based on our highly simplified approach to hedonic regressions)
The same hedonic regressions can be utilised for explicit quality adjustment,
characteristics information to perform hedonic regressions for quality adjustment;
If completely unconstrained hedonic regressions are run on the data of each period, then care should be