Примеры использования Hedonic regression на Английском языке и их переводы на Русский язык
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Hedonic regression.
Recall our standard hedonic regression model equations(14) above.
Hedonic regression models are an integral component of apparel commodities index calculations.
The existing economic theory that justifies a hedonic regression is extremely complex.
The hedonic regression model(32) is nonlinear.
Which of the two generalized dummy variable hedonic regression models(32) or(34) is"best"?
How hedonic regression techniques can be used in order to model the choice of package size.
Under these assumptions, our basic hedonic regression equations(14) for period t become.
Substituting(21) into(14) andadding the error terms kt, we obtain the following hedonic regression model.
Recall our basic hedonic regression equations(60), Pkt t ftzkt.
Triplett(2001) has also considered the connection between the two approaches in an excellent survey of the hedonic regression literature.
The use of quantity weights in hedonic regression models is strongly recommended if possible.
Hedonic regression models have been used in the U.S. Consumer Price Index(CPI) for Apparel since January 1991.
Determining the best set of regressors for an hedonic regression model is a difficult task.
Stability of the hedonic regression model continues to be a concern, as demonstrated by the women's suits model.
Nevertheless, I believe that these generalized dummy variable hedonic regression techniques look very promising.
Apparel hedonic regression models, improvements after more than a decade of use in the U.S. consumer price index.
This study will be continued by running a hedonic regression test using a fixed basket of characteristics.
The question that we want to address in this section is:how exactly should quantity data be used in a hedonic regression study?
However, for period t+1, our hedonic regression equation for this model is the following equation neglecting the error term.
Substituting(31) into(14) and adding the error term ijkt leads to the following(nonlinear)generalized dummy variable hedonic regression model.
The usual time series dummy variable hedonic regression technique that does not make use of quantity data on sales of models;
If we take logarithms of both sides of(14), use(25) and add error terms kt,we obtain the following translog hedonic regression model.
Apparel economists use their market knowledge and the hedonic regression model results themselves when designing the data collection form.
In the hedonic regression literature, this requirement that the functional form for the utility function be flexible has generally not been imposed.
The three most commonly used functional forms in the hedonic regression literature are the log-log, the semilog and the linear.
Hedonic regression, flexible functional forms, consumer theory, characteristics, quality change, matched models, consumer price index.
Thus we can use a weighted least squares hedonic regression as a way of obtaining a more representative average model price for period t.
Substituting(33) into(14) after taking logarithms of both sides of(14) andadding the error term ijkt leads to the following linear generalized dummy variable hedonic regression model.
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.