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This study aims to examine the impact of housing construction on single-family housing values and the implications for urban development.

To achieve this objective, the author used the difference-in-difference methodology to examine the effect of multifamily and single-family housing construction on surrounding single-family homes in Stockholm, Sweden. The author analysed data from approximately 480 housing construction projects between 2009 and 2014 and 17,000 single-family detached house transactions between 2005 and 2018.

The research found that multifamily construction projects did not affect the value of surrounding single-family homes, while single-family home construction had a negative impact. The author attributes this result to single-family housing projects typically located in areas with initially positive externalities, while multifamily housing projects are often located on the edge of areas with negative externalities before construction.

The research is limited by its focus on a specific geographic area and time frame, and future research could expand the scope to include other cities and regions and different periods. Additionally, further research could examine the impact of housing construction on other economic factors beyond housing values.

The research has practical implications for urban planners and policymakers. They should consider the potential negative impact of new single-family home construction on existing single-family housing areas while balancing the need for new housing in urban areas. By carefully evaluating construction locations, policymakers can create more sustainable, livable and equitable urban environments that benefit all members of society.

This research paper contributes to the field of housing economics by examining the impact of housing construction on single-family housing values in the context of urban development and climate change mitigation. Using a difference-in-difference methodology, the study provides evidence of the price effect of multifamily and single-family housing construction on surrounding single-family homes, which has important policy implications for urban planners and policymakers. By identifying the negative impact of single-family home construction on surrounding areas and highlighting the need for careful evaluation of construction locations, the research provides valuable insights for creating sustainable, livable and equitable urban environments that benefit all members of society.

The purpose of this paper is to analyze factors that determine the demand for single family houses in Alabama urbanized areas, commonly referred to as metropolitan statistical areas (MSAs).

This paper builds and estimates a housing demand model that incorporates both macroeconomic and housing‐related variables using a panel time series data for 1988‐2007. The study is different from past research, which mainly focuses on housing demand at the state or national level, by looking at the factors influencing demand for housing at the MSAs level.

The study finds that demand for new single family houses in Alabama MSAs is influenced by both national economic factors and local factors. Population growth and increased sale of existing houses increase demand for new single family houses in the MSAs. On the contrary, increased cost of building a new house, higher real mortgage interest rates and unemployment rates are found to reduce the demand for new houses.

This study is one of the few studies that focus on housing demand at the local level, particularly in the US housing market. Since demand for housing will always be local and therefore influenced mostly by local conditions, the result reveal unique dynamics that are specific to the MSAs.

The purpose of this study is to gauge and compare the impact of surface street traffic externalities on residential properties. Limited previous research indicates that negative externalities dominate for single-family houses. Our objective is to verify that this result applies to our sample, and to determine if the same result extends to multi-unit rental properties.

Hedonic regression is used to analyze data from 9,680 single-family house transactions and 455 multi-unit rental properties to measure the influence of surface street traffic on the price of the two property types.

Houses located adjacent to an arterial street sold at a 7.8 per cent discount, on average, compared to similar houses located on collector streets. Limiting the analysis to houses adjacent to an arterial street (where traffic counts were available), price and traffic count are negatively related. The results for multi-unit rental dwellings are dramatically different. Multi-unit properties adjacent to an arterial street sold at a 13.75 per cent premium compared to similar properties on collector streets, and when limiting the analysis to properties on arterial streets, no significant relationship was detected between price and traffic volume.

This is the first empirical study of the influence of surface street traffic on both single-family houses and multi-unit rental residential property. Evidence is provided that traffic externalities impact the two types of properties quite differently. To the extent that this result applies to other locations, the authors suggest planners may be able to use such information to reduce the negative effect of traffic externalities on residential property associated with changes that will increase traffic flow.

The purpose of this study is to identify the preferred characteristics of buyers of single-family homes in Saudi Arabia with an emphasis on the city of Dammam.

Data were collected using face-to-face structured interviews conducted from November 2016 to May 2017 with 177 owners of single-family homes that were purchased between 2010 and the first quarter of 2017.

The findings indicate that homes can be divided into three types: villas, detached duplexes and semi-detached duplexes. Also, more than three-quarters of the respondents purchased their homes through mortgages from either lenders or the government. It seems we find that the advantages of the detached duplex, particularly its privacy level, over other types of single-family homes induce homebuyers to choose this home type.

In this study, the authors analyze housing preferences among various segments of the Saudi society, in the city of Dammam, to understand the housing supply in Saudi Arabia. Only a few studies have investigated the preferences of homebuyers in Saudi Arabia. Below the authors provide a literature review, discuss data and methods and results, as well as provide concluding remarks.

With a view to the unconventional monetary policy measures implemented in the euro area in recent years, this study aims to investigate whether the recent house price increases in Germany are signals of an incipient overheating of the German housing market.

This paper presents a valuation measure for residential property based on a large and exhaustive regional panel data set for Germany. The fitted house prices from a panel regression at the district level, taking into account spatial spillovers, are taken as a measure of the fundamental equilibrium house prices, which can be aggregated for various regional subsets.

The estimation results suggest that apartment prices over the past years substantially exceeded the fundamental price suggested by the model, in particular in the big cities. Single-family houses appear to be markedly overvalued mainly in the cities. The low level of interest rates in recent years appears to have contributed to the emergence of misalignments.

Exploiting the variation across local housing markets, the estimation approach provides value-add for the estimation of house price valuation results in various regional subsets, as conventional time-series approaches to valuing property are subject to severe data limitations in the case of Germany.

Even as many countries are facing changes in demographic profile and new types of senior housing developments are becoming more important, there is limited evidence for the development impact of a senior house on surrounding residential property values. The purpose of this paper is to address the void in knowledge, investigating the impact of senior house developments on apartment values in Tampere, Finland.

To specify valuation effects of proximate senior house development projects, advanced research design combining propensity score matching procedure and hedonic pricing models is used.

The results show that a senior house development has a significant positive impact on proximate residential property values within a 500 metre radius. The impact is found to be the highest in underdeveloped neighbourhoods. Nevertheless, in neighbourhoods where property values and demand for housing units are higher and senior house developments fall into the criteria of infill development, a premium is lower, but still statistically significant and notable in magnitude.

This paper studies apartment values only in Tampere, Finland, and it is important to notice that local regulations and market conditions may have a notable impact on the outcomes from senior house developments.

This study is the first of its kind to address a number of empirical issues and provide with statistically significant evidence for positive impacts from senior house developments – encouraging investors and developers to build senior houses.

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.

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.

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.

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.

The aim of this study is to investigate why housing prices differ between regions, and to estimate the speed‐of‐adjustment.

A variety of factors explains the differences in the prices of single‐family houses. Changes in disposable income over time and across regions as well as the cost of capital are important determinants. The model is based on a DiPasquale and Wheaton model where the developments of the house prices are a function of macroeconomic factors such as economic growth, changes in employment and interest rate. It is estimated on a two‐equation error correction model: first, the long‐run price equation and, second, a short‐run price model.

The estimates suggest that the speed‐of‐adjustment ranges from 16 to 78 per cent (around 50 per cent on average) depending on the region. In regions with a low population density, higher price adjustment rates are observed. Moreover, the speed‐of‐adjustment is higher in an upturn economy than in a downturn reflecting that negative housing stock adjustments is much slower than positive adjustments.

The main contribution is that the speed‐of‐adjustment to the long‐run equilibrium price for 21 regions is estimated instead of at a national level and, furthermore, cyclical asymmetry in responses is tested and such differences are found. It is estimated that the rate of adjustment to long‐run equilibrium price varies considerably between regions.

As an important indicator of the quality of life of individuals, residential environments are continuing to evolve, due to the rapidly changing production–consumption relations. However, in this evolving process, the effect of the differentiated residential environments on the individuals' residential satisfaction remains unclear. This paper aims to measure the effects of the varying residential environments on the overall quality of urban life (QoUL) in Kayseri, one of the most developed cities in Central Anatolia.

It is based on empirical data on the quality of life in the different residential environments of Kayseri. The research method used stratified purposeful sampling, and the household survey data were analyzed using factor analysis, multiple regression and ANOVA statistical methods.

The most influential factors on the overall QoUL of individuals living in different Kayseri residential neighborhoods were satisfaction with neighborhood and city-level urban services, neighborhood relations and belonging factor groups. The critical finding obtained in this study is that residential satisfaction in low-rise and compact form housing areas in Kayseri is higher compared to residential satisfaction in high-rise neighborhoods. This result reveals that the high-rise building typology that is dominant in Turkey's big cities should be seriously questioned, and urban development policies should be re-evaluated.

The study was designed to produce baseline data so that future changes in residential conditions as perceived by the residents of Kayseri could be monitored to support decisions for residential areas.

Comparative case studies, particularly on low-rise versus high-rise environments, are scarce. As a result, this research contributes to the field of comparative studies on residential environments.

The purpose of this paper is to explore the extent that interest subsidies have impacted on the total production of Swedish single‐ and multifamily houses. It also intends to examine whether tenure neutrality provision of interest subsidy that subsidy policy advocates was maintained.

Using a multiple regression of two models, a balanced panel data from 1975 to 2006 that consist of various related construction cost variables of all regions of Sweden will be analyzed. Instrumental variable (IV) and seemingly unrelated regressions (SUR) will be utilized to examine the role of subsidy on housing production and tenure neutrality, respectively.

The results seem to indicate that a general subsidy is expected to be ineffective since it may increase the existing stocks of a low demand region but not the housing stocks of big regions where the demand is high. Moreover, a targeted subsidy may change the balance between different types of housings since lower construction costs due to the subsidy could favor the development of certain profitable housing types.

The paper tries to substantiate (empirically) the assertion that subsidy policies contributed both to the production of housing units in low demand regions and distortion of the preference of different tenures.