The following paper outlines a new econometric model designed to capture both the temporal and spatial dynamics of housing prices. The paper combines existing spatial econometric techniques with a model that allows parameters to evolve over time. In addition, we provide an empirical application to the price effects of confined animal feeding operations to a data set of residential real estate in Tippecanoe County, Indiana from 1993 through 2006
Until recently most analysis of property prices and the explanatory factors for these prices has bee...
Summary. This study examines the impacts of spatial and time-related variables on the price of indus...
The application of UrbanSim requires land or real estate price data for the study area. These can be...
The following paper outlines a new econometric model designed to capture both the temporal and spati...
An increasing number of theoretical and empirical studies have dealt with the determinants of house ...
The inclusion of spatial correlation of house price in hedonic pricing model may produce better marg...
House prices are hugely affected by location. This is because of the unique nature of real estate-it...
Recent ready access to free software and toolbox applications is directly impacting spatial economet...
Incorporating spatial econometric tools in hedonic pricing (HP) models for environmental valuation h...
Incorporating spatial econometric tools in Hedonic Pricing (HP) models for environmental valuation h...
This paper proposes a hedonic regression model to estimate housing prices and the spatial variabilit...
Hedonic price modelling has long been a powerful tool to estimate house prices in the real estate ma...
Relationships between past events, future expectations and present decisions, typically examined thr...
Spatial autoregressive hedonic models utilize house prices lagged in space and time to produce local...
A spatial hedonic model is developed to assess monetary harm of confined animal feeding operations (...
Until recently most analysis of property prices and the explanatory factors for these prices has bee...
Summary. This study examines the impacts of spatial and time-related variables on the price of indus...
The application of UrbanSim requires land or real estate price data for the study area. These can be...
The following paper outlines a new econometric model designed to capture both the temporal and spati...
An increasing number of theoretical and empirical studies have dealt with the determinants of house ...
The inclusion of spatial correlation of house price in hedonic pricing model may produce better marg...
House prices are hugely affected by location. This is because of the unique nature of real estate-it...
Recent ready access to free software and toolbox applications is directly impacting spatial economet...
Incorporating spatial econometric tools in hedonic pricing (HP) models for environmental valuation h...
Incorporating spatial econometric tools in Hedonic Pricing (HP) models for environmental valuation h...
This paper proposes a hedonic regression model to estimate housing prices and the spatial variabilit...
Hedonic price modelling has long been a powerful tool to estimate house prices in the real estate ma...
Relationships between past events, future expectations and present decisions, typically examined thr...
Spatial autoregressive hedonic models utilize house prices lagged in space and time to produce local...
A spatial hedonic model is developed to assess monetary harm of confined animal feeding operations (...
Until recently most analysis of property prices and the explanatory factors for these prices has bee...
Summary. This study examines the impacts of spatial and time-related variables on the price of indus...
The application of UrbanSim requires land or real estate price data for the study area. These can be...