Predicting the rental value of houses in household surveys in Tanzania, Uganda and Malawi: Evaluations of hedonic pricing and machine learning approaches. [PDF]
PLoS ONE, 2021 Housing value is a major component of the aggregate expenditure used in the analyses of welfare status of households in the development economics literature.
Weldensie T Embaye +2 more
doaj +2 more sources
Spatial Hedonic Pricing Models for Testing the Adequacy of Acoustic Areas in Madrid, Spain [PDF]
Investigaciones Regionales - Journal of Regional Research, 2011 Road traffic noise is one of the main concerns of large cities. Most of them have classified their territory in acoustic areas and have constructed strategic noise maps.
José-María Montero +2 more
doaj +4 more sources
Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal [PDF]
Spatial Economic Analysis, 2012 Abstract Spatial heterogeneity, spatial dependence and spatial scale constitute key features of spatial analysis of housing markets. However, the common practice of modelling spatial dependence as being generated by spatial interactions through a known spatial weights matrix is often not satisfactory.
Arnab Bhattacharjee +1 more
exaly +4 more sources
Do people value farmers markets: A spatial hedonic pricing model approach
Agricultural and Resource Economics ReviewFarmers markets can generate positive externalities by improving food access and negative externalities through pollution. The presence of both may influence people’s willingness to pay (WTP) for living nearby.
Yanan Zheng +3 more
doaj +2 more sources
Analysis of Indicators and Explanation of Strategies for Achieving Urban Intelligence: A Case Study of Isfahan [PDF]
برنامه ریزی فضایی, 2022 Problem Definition: Urbanization is now happening at an unprecedented rate. Continued population growth and urbanization are projected to add 2.5 billion to the world's urban population by 2050. Along with the physical progress in the cities of the world,
Masoud Taghvaei, Marjan Shafiei
doaj +1 more source
Access-based land value appreciation for assessing project benefits
Journal of Transport and Land Use, 2023 The traditional mobility-oriented travel-time saving benefit assessment method has been repeatedly questioned for numerous intrinsic flaws, motivating the search for alternative benefit assessment approaches. Although a wealth of literature confirms the
Yadi Wang, David Levinson
doaj +3 more sources
Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria [PDF]
Urban Studies, 2013 Modelling spatial heterogeneity (SH) is a controversial subject in real estate economics. Single-family-home prices in Austria are explored to investigate the capability of global and locally weighted hedonic models. Even if regional indicators are not fully capable to model SH and technical amendments are required to account for unmodelled SH, the ...
Marco Helbich +3 more
openaire +5 more sources
SPATIAL HEDONIC MODELS OF AIRPORT NOISE, PROXIMITY, AND HOUSING PRICES* [PDF]
Journal of Regional Science, 2007 ABSTRACT Despite the refrain that housing prices are determined by “location, location, and location,” few studies of airport noise and housing prices have incorporated spatial econometric techniques. We compare various spatial econometric models and estimation methods in a hedonic price framework to examine the impact of noise on 2003 housing prices ...
Jeffrey P. Cohen, Cletus C. Coughlin
openaire +1 more source
Swiss Journal of Economics and Statistics, 2022 This article examines the spatially varying effect of age on single-family house (SFH) prices. Age has been shown to be a key driver for house depreciation and is usually associated with a negative price effect.
Jakob A. Dambon +6 more
doaj +1 more source
Calf and yearling prices in California and the western United States
California Agriculture, 2016 This paper investigates spatial, quality and temporal factors impacting the pricing of calves and yearlings in the western United States using data from a satellite video auction and a hedonic regression framework.
T Tate, L Forero, G Nader, L Forero
doaj +2 more sources