En este trabajo se presenta un modelo para la interpretación de la variabilidad espacio-temporal del precio de la vivienda en la ciudad de Granada. Para ello, se ha utilizado una base de datos espacio-temporales del precio de la vivienda, elaborada a partir de muestras de corte transversal tomadas en diferentes años. El modelo se fundamenta en un análisis varigráfico de la autocorrelación espacio-temporal de la variable, precio de la vivienda, y de las principales características que influyen sobre éste, entre las que cabe destacar las características constructivas, la localización en el espacio urbano y el momento en el que se ofertó en el mercado inmobiliario.This paper presents a model for interpreting the spatio-temporal variability of ...
Customarily, for housing markets, interest focuses on selling prices of properties at locations and ...
This paper employs a spatial hedonic house price model that is capable of incorporating temporal dyn...
The need to consider spatial autocorrelation in hedonic price modelling is paramount since reliabili...
En este trabajo se presenta un modelo para la interpretación de la variabilidad espacio-temporal del...
This paper proposes a hedonic regression model to estimate housing prices and the spatial variabili...
An increasing number of theoretical and empirical studies have dealt with the determinants of house ...
The first exploratory paper as part of the thesis ‘Hedonic models with machine learning’ will consid...
The following paper outlines a new econometric model designed to capture both the temporal and spati...
En este documento se estima un índice de precios de vivienda nueva para la ciudad de Bogotá empleand...
House prices are hugely affected by location. This is because of the unique nature of real estate-it...
By splitting the spatial effects into building and neighborhood effects, this paper develops a two o...
A spatio-temporal model is proposed aimed at producing an index of housing prices. A hedonic model w...
This article presents hedonic Multiple Linear Regression models (MLR), Spatial Auto-Regressive hedon...
Hedonic price modelling has long been a powerful tool to estimate house prices in the real estate ma...
It is of important economic interest to understand the market for sales of residential properties. C...
Customarily, for housing markets, interest focuses on selling prices of properties at locations and ...
This paper employs a spatial hedonic house price model that is capable of incorporating temporal dyn...
The need to consider spatial autocorrelation in hedonic price modelling is paramount since reliabili...
En este trabajo se presenta un modelo para la interpretación de la variabilidad espacio-temporal del...
This paper proposes a hedonic regression model to estimate housing prices and the spatial variabili...
An increasing number of theoretical and empirical studies have dealt with the determinants of house ...
The first exploratory paper as part of the thesis ‘Hedonic models with machine learning’ will consid...
The following paper outlines a new econometric model designed to capture both the temporal and spati...
En este documento se estima un índice de precios de vivienda nueva para la ciudad de Bogotá empleand...
House prices are hugely affected by location. This is because of the unique nature of real estate-it...
By splitting the spatial effects into building and neighborhood effects, this paper develops a two o...
A spatio-temporal model is proposed aimed at producing an index of housing prices. A hedonic model w...
This article presents hedonic Multiple Linear Regression models (MLR), Spatial Auto-Regressive hedon...
Hedonic price modelling has long been a powerful tool to estimate house prices in the real estate ma...
It is of important economic interest to understand the market for sales of residential properties. C...
Customarily, for housing markets, interest focuses on selling prices of properties at locations and ...
This paper employs a spatial hedonic house price model that is capable of incorporating temporal dyn...
The need to consider spatial autocorrelation in hedonic price modelling is paramount since reliabili...