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Article
Publication date: 25 May 2018

Asifa Iqbal and Mats Wilhelmsson

There is a lack of understanding in the literature on the relation between parks and house price in relation to crime in Scandinavian context. This paper aims to…

Abstract

Purpose

There is a lack of understanding in the literature on the relation between parks and house price in relation to crime in Scandinavian context. This paper aims to investigate the effect of the amenity value of accessibility to parks on apartment prices with reference to crime rates in parks in Stockholm.

Design/methodology/approach

This paper analyses the effects of park proximity and crime in parks on apartment prices by using geographic information systems and hedonic modelling.

Findings

Findings show that the proximity of parks as an environmental amenity has an effect on apartment prices. The results also demonstrate that the impact of parks on apartment prices is different in the different segments of the apartment market in Stockholm. Moreover, various types of parks may differ in their impact, for instance, grass parks and park blocks are more desirable in Stockholm than landscape parks and neighbourhood parks. The effects of crimes in parks influence apartment prices negatively.

Originality/value

This paper provides a new methodology by using the shortest distance to a park as a main variable. The shortest distance to a park variable is considered a better choice than using park as an aggregate measure. To the best of the author’s knowledge, this is the first study that investigates the effect of specific park types, for instance, grass parks, neighbourhood parks, landscape parks and park blocks, in Stockholm housing market.

Details

International Journal of Housing Markets and Analysis, vol. 11 no. 4
Type: Research Article
ISSN: 1753-8270

Keywords

Open Access
Article
Publication date: 6 July 2021

Mats Wilhelmsson, Vania Ceccato and Manne Gerell

This study aims to analyse the effect of gun-related violence on housing values, controlling for the area's crime levels and locational factors. Previous studies that…

Abstract

Purpose

This study aims to analyse the effect of gun-related violence on housing values, controlling for the area's crime levels and locational factors. Previous studies that aimed to find a causal connection between crime and housing values used instrument variables to solve the endogeneity problem. Here, the authors have instead been able to take advantage of the fact that shootings have occurred in random time and space. This has made it possible to estimate models to create windows around the shooting (event) and to estimate the causal effects of the shootings. Thus, the authors aim to contribute to the regression discontinuity design method in this context to estimate the short-term effects.

Design/methodology/approach

Using the regression discontinuity design method, the authors can estimate the short-term effects of shootings.

Findings

Findings from the analysis indicate that shootings directly affect those who are impacted by shootings and indirectly affect the environments where shootings occur. The indirect effect of shootings is momentary as it is capitalised directly in housing values in the immediate area. The effect also appears to be relatively long-term and persistent as housing values have not returned to the price level before the shooting 100–200 days after the shooting. The capitalisation effect is higher the closer one gets to the central parts of the city. On the other hand, the capitalisation effect is not higher or lower in areas with a higher crime rate per capita.

Originality/value

The article contributes to the previous literature in several ways. First and foremost, it provides an explicit analysis of shootings in built-up areas and their hypothesised effect on property prices through the impact on attractiveness and perceived safety. As far as the authors know, no study has analysed this issue on the international level or in Sweden. In this way, the authors aim to develop a study that can provide critical knowledge about one of the adverse effects of shootings. The authors also contribute to the literature by utilising unique data material, which allows the authors to merge information from the police about the exact location of shootings in the Stockholm area with data on sales of apartments in the same residential areas. In addition to the exact location of the shootings (coordinates), the authors also have access to data about whether the shootings led to injuries or deaths. Thus, the authors have separated the effect of shootings and fatal shootings, which has not been done before. Finally, the authors set out to highlight the results as a contribution to the debate on shootings.

Details

Journal of European Real Estate Research, vol. 15 no. 1
Type: Research Article
ISSN: 1753-9269

Keywords

Open Access
Article
Publication date: 27 May 2021

Mohammad Ismail, Abukar Warsame and Mats Wilhelmsson

The purpose of this study is to analyse the trends regarding housing segregation over the past 10–20 years and determine whether housing segregation has a spillover effect…

Abstract

Purpose

The purpose of this study is to analyse the trends regarding housing segregation over the past 10–20 years and determine whether housing segregation has a spillover effect on neighbouring housing areas. Namely, the authors set out to determine whether proximity to a specific type of segregated housing market has a negative impact on nearby housing markets while proximity to another type of segregated market has a positive impact.

Design/methodology/approach

For the purposes of this paper, the authors must combine information on segregation within a city with information on property values in the city. The authors have, therefore, used data on the income of the population and data on housing values taken from housing transactions. The case study used is the city of Stockholm, the capital of Sweden. The empirical analysis will be the estimation of the traditional hedonic pricing model. It will be estimated for the condominium market.

Findings

The results indicate that segregation, when measured as income sorting, has increased over time in some of the housing markets. Its effects on housing values in neighbouring housing areas are significant and statistically significant.

Research limitations/implications

A better understanding of the different potential spillover effects on housing prices in relation to the spatial distribution of various income groups would be beneficial in determining appropriate property assessment levels. In other words, awareness of this spillover effect could improve existing property assessment methods and provide local governments with extra information to make an informed decision on policies and services needed in different neighbourhoods.

Practical implications

On housing prices emanating from proximity to segregated areas with high income differs from segregated areas with low income, policies that address socio-economic costs and benefits, as well as property assessment levels, should reflect this pronounced difference. On the property level, positive spillover on housing prices near high-income segregated areas will cause an increase in the number of higher income groups and exacerbate segregation based on income. Contrarily, negative spillover on housing prices near low-income areas might discourage high-income households from moving to a location near low-income segregated areas. Local government should be aware of these spillover effects on housing prices to ensure that policies intended to reduce socioeconomic segregation, such as residential and income segregation, produce desirable results.

Social implications

Furthermore, a good estimation of these spillover effects on housing prices would allow local governments to carry out a cost–benefit analysis for policies intended to combat segregation and invest in deprived communities.

Originality/value

The main contribution of this paper is to go beyond the traditional studies of segregation that mainly emphasise residential segregation based on income levels, i.e. low-income or high-income households. The authors have analysed the spillover effect of proximity to hot spots (high income) and cold spots (low income) on the housing values of nearby condominiums or single-family homes within segregated areas in Stockholm Municipality in 2013.

Details

Journal of European Real Estate Research , vol. 14 no. 2
Type: Research Article
ISSN: 1753-9269

Keywords

Article
Publication date: 8 March 2022

Zisheng Song, Mats Wilhelmsson and Zan Yang

This paper aims to construct rental housing indices and identify market segmentation for more effective property-management strategies.

Abstract

Purpose

This paper aims to construct rental housing indices and identify market segmentation for more effective property-management strategies.

Design/methodology/approach

The hedonic model was employed to construct the rental indices. Using the k-means++ and REDCAP (Regionalisation with Dynamically Constrained Agglomerative Clustering and Partitioning) approaches, the authors conducted clustering analysis and identified different market segmentation. The empirical study relied on the database of 80,212 actual rental transactions in Beijing, China, spanning 2016–2018.

Findings

Rental housing market segmentation may distribute across administrative boundaries. Properly segmented indices could provide a better account for the heterogeneity and spatial continuity of rental housing and as well be crucial for effective property management.

Research limitations/implications

Residential rent might not only vary over space but also interplays with housing price. It would be worth studying how the rental market functions together with the owner-occupied sector in the future.

Practical implications

Residential rental indices are of great importance for policymakers to be able to evaluate housing policies and for property managers to implement competitive strategies in the rental market. Their constructions largely depend on the analysis of market segmentation, a trade-off between housing spatial heterogeneity and continuity.

Originality/value

This paper fills the gap in knowledge concerning segmented rental indices construction, particularly in China. The spatial constrained clustering approach (REDCAP) was also initially introduced to identify regionalised market segmentation due to its superior performance.

Details

Property Management, vol. 40 no. 3
Type: Research Article
ISSN: 0263-7472

Keywords

Open Access
Article
Publication date: 5 March 2020

Fredrik Brunes, Cecilia Hermansson, Han-Suck Song and Mats Wilhelmsson

This paper aims to analyze how nearby property prices are affected by new construction projects in Stockholm. If there is an impact on property prices, the authors…

2058

Abstract

Purpose

This paper aims to analyze how nearby property prices are affected by new construction projects in Stockholm. If there is an impact on property prices, the authors endeavor to investigate whether the effects vary among different areas within the municipality, for different groups of inhabitants and for different types of housing (i.e. public versus private housing).

Design/methodology/approach

The authors use a difference-in-difference specification in a hedonic model, and the sample consists of more than 90,000 observations over the period 2005-2013.

Findings

The results are robust and indicate that house prices in nearby areas increase following the completion of infill development. The results also indicate that infill development has a positive spillover effect on nearby dwelling prices only in areas with lower incomes, more public housing units and more inhabitants born abroad.

Originality/value

It provides an analysis on how nearby property prices are affected by new construction projects by creating a restricted control area, so as to make the treatment group and the control group more homogeneous. Thus, it mitigates any potential problems with spatial dependency, which can cause biased standard errors.

Details

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

Keywords

Open Access
Article
Publication date: 16 August 2021

Mats Wilhelmsson, Mohammad Ismail and Abukar Warsame

This study aims to measure the occurrence of gentrification and to relate gentrification with housing values.

4848

Abstract

Purpose

This study aims to measure the occurrence of gentrification and to relate gentrification with housing values.

Design/methodology/approach

The authors have used Getis-Ord statistics to identify and quantify gentrification in different residential areas in a case study of Stockholm, Sweden. Gentrification will be measured in two dimensions, namely, income and population. In step two, this measure is included in a traditional hedonic pricing model where the intention is to explain future housing prices.

Findings

The results indicate that the parameter estimate is statistically significant, suggesting that gentrification contributes to higher housing values in gentrified areas and near gentrified neighbourhoods. This latter possible spillover effect of house prices due to gentrification by income and population was similar in both the hedonic price and treatment effect models. According to the hedonic price model, proximity to the gentrified area increases housing value by around 6%–8%. The spillover effect on price distribution seems to be consistent and stable in gentrified areas.

Originality/value

A few studies estimate the effect of gentrification on property values. Those studies focussed on analysing the impacts of gentrification in higher rents and increasing house prices within the gentrifying areas, not gentrification on property prices in neighbouring areas. Hence, one of the paper’s contributions is to bridge the gap in previous studies by measuring gentrification’s impact on neighbouring housing prices.

Details

International Journal of Housing Markets and Analysis, vol. 15 no. 4
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 13 March 2017

Sara Jonsson, Inga-Lill Söderberg and Mats Wilhelmsson

The purpose of this paper is to investigate the impact of financial literacy, risk attitude, and saving motives on the attenuation of mutual fund investors’ disposition…

2556

Abstract

Purpose

The purpose of this paper is to investigate the impact of financial literacy, risk attitude, and saving motives on the attenuation of mutual fund investors’ disposition bias. Specifically, the authors focus on individual characteristics explaining the investors’ propensity to sell shares in a poorly performing mutual fund.

Design/methodology/approach

The study relies on survey data collected from 1,564 Swedish households in 2013. The authors test the hypotheses considering three different portfolio compositions and portfolio performances. Each composition corresponds to a dependent variable and a separate model which are estimated using ordinal logistic regression.

Findings

The authors find that different forms of financial literacy affect attenuation of the disposition effect. Specifically, the authors find that knowledge about mutual funds and knowledge about current market conditions affect the attenuation of the disposition effect, whereas the authors find no support for the effect of “technical financial knowledge” (e.g. the ability to calculate compound interest rates). The authors also find no support for the effects of risk attitude and saving motives on the attenuation of the disposition bias.

Originality/value

The findings suggest a need for a more fine-grained conceptualization of the financial literacy concept and its effect on investors’ disposition bias. Since an important implication of the findings is that financial literacy could potentially help people overcome behavioral bias, the study provides insights for policymakers as well as into the discussion on the design of consumer education programs.

Details

Managerial Finance, vol. 43 no. 3
Type: Research Article
ISSN: 0307-4358

Keywords

Article
Publication date: 7 August 2017

Cecilia Enström-Öst, Bo Söderberg and Mats Wilhelmsson

This paper aims to examine tenure choice in the Swedish housing market with explicit consideration of households’ credit constraints in combination with age and ethnic background.

Abstract

Purpose

This paper aims to examine tenure choice in the Swedish housing market with explicit consideration of households’ credit constraints in combination with age and ethnic background.

Design/methodology/approach

Observations of some 940,000 households were used to analyse the Stockholm housing market in 2008, prior to the implementation of the mortgage cap. The tenure choice models were estimated using a two-stage instrument variable (IV) logit and probit model with ownership or renting as outcome.

Findings

The results suggest, as expected, that being financially restricted is negatively related to owning. In particular, financial restriction is more binding for young households and households with a foreign background than for other types of households. These two sub-groups are also known to have difficulties establishing themselves in the rental housing market, and are therefore specifically vulnerable to further financial constraints such as borrowing restrictions or amortization requirements.

Originality/value

The government in Sweden has become concerned with the rapid growth in household indebtedness. As a response, a 0.85 loan-to-value ratio mortgage cap was introduced in 2010. However, critics are concerned with the effects this may have on the possibility for certain households to purchase a dwelling.

Details

Journal of European Real Estate Research, vol. 10 no. 2
Type: Research Article
ISSN: 1753-9269

Keywords

Article
Publication date: 18 December 2018

Bjorn Berggren, Andreas Fili and Mats Wilhelmsson

The purpose of this paper is to analyze the relationship between housing markets and new firm formation in six different industries in all 284 municipalities in Sweden.

Abstract

Purpose

The purpose of this paper is to analyze the relationship between housing markets and new firm formation in six different industries in all 284 municipalities in Sweden.

Design/methodology/approach

The authors have used data from Statistics Sweden and The Swedish Agency for Economic and Regional Growth to develop a model to analyze the relationship between house prices and industry-specific new firm formation, with the interaction effect of financial infrastructure.

Findings

In the data, stable high house prices have no effect on entrepreneurship. However, a market with rising house prices has a positive effect on new firm formation, in retail, construction, business-to-business services and miscellaneous sectors, but produced no effect in either mining, agriculture and fishing or in manufacturing. The interaction between rising house prices and financial infrastructure does not change the positive effect on retail, business-to-business services and miscellaneous sectors, but within the construction industry, the positive effect on new firm formation disappears. In manufacturing, the authors observe the opposite – a positive effect, instead of no effect previously.

Originality/value

The contribution of this study is to provide evidence of how house prices are associated with entrepreneurship in different industries, as well as analyzing how the interaction between house prices and financial infrastructure is associated with entrepreneurship. By separating observations in time, endogeneity is controlled and a causal relationship where higher house prices is postulated, which leads to an increase in entrepreneurial activity in different industries. By using a spatial Durbin model, the authors control for spatial dependency.

Details

International Journal of Housing Markets and Analysis, vol. 12 no. 3
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 10 April 2009

Mats Wilhelmsson

The purpose of this paper is to construct a hedonic property price index in the segmented housing market.

Abstract

Purpose

The purpose of this paper is to construct a hedonic property price index in the segmented housing market.

Design/methodology/approach

Three different research questions are investigated. The first considers how to identify separate local housing markets, with the use of a regression‐tree approach, and the second concerns when it is possible to update a price index, with a recursive regression approach. Finally, the question about seasonal adjustment is investigated.

Findings

Overall, the hedonic approach is the best method to use. Moreover, the County of Stockholm is not one market in the sense that the market can be represented by only one property price index. It can be best described as a number of different sub‐markets where the property prices grow differently. The results suggest that there exist at least five different price indexes in the County of Stockholm. The results also support that recursive regressions are two appropriate methods to answer the research questions. Here, the empirical analysis suggests that the parameter estimates converge relatively fast toward the estimate using all observations.

Practical implications

The paper illustrates how to derive sub‐markets in the construction of a price index and when to update a price index series.

Originality/value

The introduction of new financial products, such as property derivatives, to the market has made the construction and quality of property price indexes more important. High quality price indexes are vital when it comes to, for example, pricing property derivatives. The paper facilitates this.

Details

Property Management, vol. 27 no. 2
Type: Research Article
ISSN: 0263-7472

Keywords

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