Results 281 to 290 of about 505,491 (322)

Hedonic Price Models for Dynamic Markets*

Oxford Bulletin of Economics and Statistics, 2006
AbstractThe price of a product depends on its characteristics and will vary in dynamic markets. The model describes a processing firm that bids in an auction for a heterogeneous and perishable input. The reduced form of this model is estimated as an expanded random parameter model that combines a nonlinear hedonic bid function and inverse input demand ...
Dadi Kristofersson, Kyrre Rickertsen
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The Composition of Hedonic Pricing Models

Journal of Real Estate Literature, 2005
A house is made up of many characteristics, all of which may affect its value. Hedonic regression analysis is typically used to estimate the marginal contribution of these individual characteristic...
Stacy Sirmans, David Macpherson, Emily Zietz   +2 more
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Improved Estimators of Hedonic Housing Price Models [PDF]

Journal of Real Estate Research, 2006
In hedonic housing price modeling, real estate researchers and practitioners are often not completely ignorant about the parameters to be estimated. Experience and expertise usually provide them with tacit understanding of the likely values of the true parameters.
Helen X. H. Bao, Alan T. K. Wan
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Hybrid multilevel STAR models for hedonic house prices

Jahrbuch für Regionalwissenschaft, 2013
This article proposes a procedure that exploits two heterogeneous data sets to derive spatial house price predictions for Austria in a semiparametric hierarchical regression framework. The first data set contains a large number of house price data, but only a small number of house characteristics (a long data set), giving rise to the omitted variable ...
Wolfgang A. Brunauer, Stefan Lang, Wolfgang Feilmayr   +2 more
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Hedonic pricing and the sharing economy: how profile characteristics affect Airbnb accommodation prices in Barcelona, Madrid, and Seville

Current Issues in Tourism, 2020
The sharing economy has allowed people from all over the world to more effectively utilize their assets. Owners or controllers of assets in the sharing economy are free to set any price they want subject to prevailing market demand as long as they ...
Baldwin Tong, Ulrich Gunter
semanticscholar   +1 more source

Hedonic pricing models and residual house price volatility

Letters in Spatial and Resource Sciences, 2019
This paper develops a simple method for measuring the residual house price volatility, namely, the house price variation which cannot be attributed to the heterogeneous nature of real estate goods. By creating a quality index of housing characteristics, the method is able to detect “anomalous” situations, in which the sale price does not reflect (in ...
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Reflections on hedonic price modeling

Journal of European Real Estate Research
Purpose This paper provides a critical history of residential hedonic price modeling, highlighting key issues and advances. It is based on the keynote address presented by the first author at the European Real Estate Society Annual Conference in Sopot (Gdańsk), Poland, in June 2024.
Steven C. Bourassa, Martin Hoesli, Michael Mayer, Nicola Stalder   +3 more
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SPATIOTEMPORAL CONTROLS IN HEDONIC HOUSING PRICE MODELS

Urban Geography, 1997
An interactive spatiotemporal fixed-effect hedonic housing price model estimated by weighted least squares will control for most forms of spatial and ecological autocorrelation and produce efficient housing price estimates.
Kyoun-Sup Chung, Paul Waddell, Brian J. L. Berry   +2 more
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Valuing Cricketers Using Hedonic Price Models

Journal of Sports Economics, 2009
This article is concerned with estimating hedonic price equations for cricketers. The 2008 auction in India for cricketers to play in the Indian Premier League (IPL) of Twenty20 cricket has revealed the bids made for 75 players. Using the information on the bids, the author has estimated hedonic price equations.
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A hedonic price model of office rents

Journal of Property Valuation and Investment, 1998
The primary objective of this study is to apply hedonic regression techniques to an office market to identify and quantify the significant contribution of the different attributes to office rents. This technique is widely used in the analysis of housing markets but an extensive literature review reveals little application in commercial property markets.
Neil Dunse, Colin Jones
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