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Abstract

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Journal of European Real Estate Research, vol. 15 no. 2
Type: Research Article
ISSN: 1753-9269

Content available
Article
Publication date: 24 December 2018

Paloma Taltavull

344

Abstract

Details

Journal of European Real Estate Research, vol. 11 no. 3
Type: Research Article
ISSN: 1753-9269

Content available
Article
Publication date: 23 July 2020

Paloma Taltavull

166

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Journal of European Real Estate Research , vol. 13 no. 2
Type: Research Article
ISSN: 1753-9269

Content available
Article
Publication date: 20 November 2019

Paloma Taltavull

216

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Journal of European Real Estate Research , vol. 12 no. 3
Type: Research Article
ISSN: 1753-9269

Content available
Article
Publication date: 8 May 2018

Paloma Taltavull

230

Abstract

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Journal of European Real Estate Research, vol. 11 no. 1
Type: Research Article
ISSN: 1753-9269

Content available
Article
Publication date: 22 April 2020

Paloma Taltavull

727

Abstract

Details

Journal of European Real Estate Research , vol. 13 no. 1
Type: Research Article
ISSN: 1753-9269

Content available
Article
Publication date: 3 September 2018

Paloma Taltavull

177

Abstract

Details

Journal of European Real Estate Research, vol. 11 no. 2
Type: Research Article
ISSN: 1753-9269

Content available
Article
Publication date: 20 October 2021

Paloma Taltavull

154

Abstract

Details

Journal of European Real Estate Research, vol. 14 no. 3
Type: Research Article
ISSN: 1753-9269

Article
Publication date: 19 January 2022

Paloma Taltavull de La Paz, Jim Berry, David McIlhatton, David Chapman and Katja Bergonzoli

This paper focusses on analysing the impact of crime on the housing market in Los Angeles (LA) County. By looking at different types of crime instead of general crime…

Abstract

Purpose

This paper focusses on analysing the impact of crime on the housing market in Los Angeles (LA) County. By looking at different types of crime instead of general crime measures and controlling by spatial dimension of prices and crime as well as endogeneity, a model is developed that allows for the understanding of how a specific crime impacts the housing market transaction price. To perform the analysis, the paper merges different data sets (crime, housing transaction and census data) and then computes the distances to crucial transport modes to control the accessibility features affecting housing prices. The latter allows estimating the association of housing prices and crime in the distance and estimating the impact on housing depending on it.

Design/methodology/approach

This paper focusses on the following crimes: aggravated assault, burglary (property crime), narcotics, non-aggravated assault and vandalism. The paper shows firstly how incidents of reported crime are distributed across space and how they are related to each other – thus highlighting crime models with spatial influences. Secondly, the research utilises instrumental variables within the methodology to estimate house prices using spatial analysis techniques while controlling for endogeneity. Thirdly, it estimates the direct impact of crime on house prices and explores the impact of housing and neighbourhood features.

Findings

Results suggest that house transaction prices and crime are closely correlated in two senses. Housing prices are endogenously negatively associated with the levels of narcotics and aggravated assaults. For narcotics, the impact of distance is shorter (1,000 m). However, for burglary, vandalism and non-aggravated assaults, the price reaction suggests a positive association: the further away the crime occurs, the higher the prices. The paper also shows the large spatial association of different crimes suggesting that they occur together and that their accumulation would make negative externalities appear affecting the whole neighbourhood.

Research limitations/implications

The use of a huge database allows interesting findings, but one limitation can be to not have longer time observations to identify the crime evolution and its impact on housing prices.

Practical implications

Large implications as the relationship identified in this paper allow defining precise policies to avoid crime in different areas in LA. In addition, crime has significant but quantitative small effects on LA housing transaction prices suggesting that the effect depends on the spatial scale as well as lack on information about where the crimes are committed. Lack on information suggests low transparency in the market, affecting the transaction decision-taken process, affecting the risk perception and with relevant implications over household welfare.

Originality/value

This paper relates the spatial association among crimes defining the hotspots and their impacts on housing transaction prices.

Article
Publication date: 2 May 2017

Paloma Taltavull, Ion Anghel and Costin Ciora

This paper aims to estimate the green premium effect of retrofitted apartments in Bucharest and draw comparisons with international examples.

Abstract

Purpose

This paper aims to estimate the green premium effect of retrofitted apartments in Bucharest and draw comparisons with international examples.

Design/methodology/approach

A geo-referenced transaction database including information on whether the property had been retrofitted is utilised. The paper uses two approaches to test the green premium. One is a hedonic model controlled by areas to estimate the price incentive of a green building. The second is a STAR GLS model evaluating the diffusion effect of house prices spatially by sub-market and assessment upon the pricing effect of green characteristics.

Findings

The authors’ findings suggest a green premium in two Bucharest areas of between 2.2 per cent and 6.5 per cent. Spatial diffusion effects are shown to contribute positively to house prices, but the unobserved spatial component reduces this effect.

Originality/value

This paper is the first to assess price impacts of green characteristics in Bucharest and one of the first analysing green premium using spatial techniques. The analysis is of significance to policymakers and real estate developers.

Details

Journal of European Real Estate Research, vol. 10 no. 1
Type: Research Article
ISSN: 1753-9269

Keywords

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