Statistical offices use the matched models method to compile consumer price indices (CPIs) to measure inflation. Price collectors record the prices of a sample of models or varieties of selected products existing in period t, and then continue to record the prices of these same matched models in subsequent periods t+n. The matched models method is designed to control for quality changes by ensu...

The establishment of European monetary union (EMU) was widely expected to cause price convergence among member states. In an investigation of this claim, the present study avoids problems of comparability and representativeness by using an extremely detailed and comprehensive scanner database on washing machine prices and sales volumes for 17 European countries. A hedonic regression yields coun...

This research provides a significant step towards understanding the relationship between house vintage and value. This study analyses residential sales transactions in New Zealand using hedonic pricing models and uncovers evidence that a home’s vintage is a commodity that commands price premiums or discounts. Vintage is found to have a nonlinear influence on sales price and this relationship di...

in present paper, housing has been considered as a multidimensional and heterogeneous item. its characteristics has been considered as key elements in determination of unit price of each building unit. the aim of the present paper is to determine the degree of importance which each charactericstics of housing has for users. there fore, hedonic price function of urbun housing in khoramabad estim...

Hedonic pricing models attempt to model a relationship between object attributes and the object’s price. Traditional hedonic pricing models are often parametric models that suffer from misspecification. In this paper we create these models by means of boosted CART models. The method is explained in detail and applied to various datasets. Empirically, we find substantial reduction of errors on o...

Forests provide non-market goods and services that people are implicitly willing to pay for through hedonic housing and labor markets. But it is unclear if compensating differentials arise in these markets at the regional level. This empirical question is addressed in a study of Arizona and New Mexico. Hedonic regressions of housing prices and wages using census and geographic data show that fo...

The CPI component indices are obtained from comparing price quotes at a given store in different periods. If we omit comparisons from goods in the store in the initial, but not in the comparison, period we generate a selection bias: goods that exit are disproportionately obsolete goods that have falling prices. Building on Pakes (2003), we explain why standard hedonic predictions for second-per...

Many attribute the rise in obesity since the early 1980s to the overconsumption of fast food. A dynamic model of a differentiated-product industry equilibrium shows that a firm with market power will price below marginal cost in a steady-state equilibrium. A spatial hedonic pricing model is used to test whether fast food firms set prices in order to exploit their inherent addictiveness. The res...

The paper proposes a new method to estimate quality adjusted commercial property price indexes using real estate investment trust (REIT) data. The method is based on the present value approach, but the way in which current operating income and the capitalization rate are estimated differs from the traditional method. The traditional method uses a hedonic regression with appraisal information on...

We create a hedonic price model for house prices for six geographical submarkets in the Netherlands. Our model is based on a recent data mining technique called boosting. Boosting is an ensemble technique that combines multiple models, in our case decision trees, into a combined prediction. Boosting enables capturing of complex nonlinear relationships and interaction effects between input varia...