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The purpose of this paper is on developing and implementing a model which provides a fuller and more comprehensive reflection of the interaction of house prices at the suburb level.

The authors examine how changes in housing prices evolve across space within the suburban context. In doing so, the authors developed a model which allows for suburbs to be connected both because of their geographic proximity but also by non-spatial factors, such as similarities in socioeconomic or demographic characteristics. This approach is applied to modelling home price dynamics in Melbourne, Australia, from 2007 to 2018.

The authors found that including both spatial and non-spatial linkages between suburbs provides a better representation of the data. It also provides new insights into the way spatial shocks are transmitted around the city and how suburban housing markets are clustered.

The authors have generalized the widely used SAR model and advocated building a spatial weights matrix that allows for both geographic and socioeconomic linkages between suburbs within the HOSAR framework. As the authors outlined, such a model can be easily estimated using maximum likelihood. The benefits of such a model are that it yields an improved fit to the data and more accurate spatial spill-over estimates.

The purpose of this paper is to investigate area-level labour market dynamics from a spatial perspective. This analysis is aimed at better understanding what socio-economic actors are associated with shifts in unemployment rates across a major metropolitan city.

Based on two waves of New Zealand census data, this paper combines a seemingly unrelated regression approach (allowing for relaxation of the assumption that residuals from models of different employment states are unrelated) with a spatial lag model.

The key socio-economic drivers associated with intra-city employment dynamics were vehicle access, dependency rates and educational attainment. Importantly, the identification of spatial autocorrelation with respect to employment status patterns within this major New Zealand city motivates a case for heterogeneous employment policies across the city.

This research improves the understanding of changes in labour market status rates within a city region. This is done by inclusion of two important considerations: a spatial perspective to labour market dynamics at an intra-city level; and formally modelling the interdependence across the four potential labour market outcomes (being full-time, part-time, unemployed or out of the labour force). Overall, there was clear empirical support for the need to include spatial considerations when using targeted policy to help lift areas out of unemployment.

The COVID-19 pandemic has significantly raised economic risk and uncertainty worldwide. How does COVID-19 affect urban housing markets? Is there any difference when different areas encounter COVID-19? This study aims to investigate the impacts of the pandemic on housing prices by using Beijing’s housing markets data in 2020.

The authors use transaction-level data from April to September in 2020 to conduct a hedonic price analysis of the housing markets in Beijing. The data included 70,843 transactions scraped from a real estate agent’s website. The authors use the difference-in-differences approach to evaluate the impacts of the COVID-19 outbreak from the Beijing Xinfadi market (the largest and most important food wholesale market in Beijing) in 2020.

This outbreak of COVID-19 caused a 6.3% drop in housing prices in Beijing from April to September in 2020. However, the impacts of COVID-19 on housing prices in different urban neighbourhoods were spatially heterogeneous. Housing prices in neighbourhoods with industries that rely on face-to-face communication were more affected by the pandemic, while those that can work remotely were less affected.

By investigating the impacts of COVID-19 on housing prices in Beijing, this study illustrates that urban housing prices would be impacted by the pandemic, at least in the short term. While the rise and fall of housing prices were found spatially heterogeneous in Beijing, it suggests that urban neighbourhoods with specific socioeconomic characteristics and geographic locations would unfold different resilience when encountering pandemic. By using data scraping and rigorous statistical tools, the study is probably one of the first ones examining the consequences of COVID-19 in intra-urban housing markets.

The purpose of this paper is to focus on inter‐neighbourhood variation in the rental apartment market in Greater Cairo, Egypt, and its potential influence on property prices and performance of hedonic pricing models.

The paper delves into the issue of whether comparables from different neighbourhoods are homogeneous enough to be aggregated in hedonic pricing models. This paper extends the research on rental‐property market segmentation by investigating the existence of apartment submarkets determined by neighbourhoods.

Results show that parameters are unstable across neighbourhoods and Chow test provides further support for utilising spatial hedonic pricing models.

This paper provides further support for spatial hedonic pricing models using empirical evidence from Greater Cairo, Egypt. The paper finds that explanatory and predictive powers of hedonic pricing models are improved when separate hedonic equations are estimated for each neighbourhood in Greater Cairo. The paper does not provide an elaborate solution for implementing spatial models in Greater Cairo but rather supports the notion that one has to be developed.

This paper aims to understand the spatiotemporal influence of metro rail connectivity on housing prices in surrounding areas. The study assesses the average annual price shift for apartments around metro stations in Delhi during the previous decade, specifically from 2010 to 2019. The authors examine the spatiotemporal extents to which housing prices are determined by the prominence of metro stations and spatial development around metro stations.

The authors perform the cross-tabulation analysis to calculate chi-square values to test the hypotheses concerning the responsiveness of the housing market in Delhi to the number of locational variables in the areas connected with the mass public transportation system.

The empirical findings verify the existence of a housing market overvaluation in Delhi around metro stations until 2013, which was eventually re-adjusted after 2014. The key findings of the study suggest the role of location variables concerning metro rails in the shooting up of the housing prices in the city. In addition, the research establishes the association of annual housing price shifts to the metro rails in the short-term, mid-term and long-term in conjunction with the distance from the metro station.

In the market, the prices are often overvalued by real estate agents due to better connectivity to the metro stations. The overvaluation eventually causes massive downfalls in housing markets and rollouts as a risk for the investors. However, the effect of mass transportation on housing prices is mixed in nature, limited to a certain extent only and not as influential as frequently portrayed by the market forces. This effect loses colour with time.

This study aims to examine the impact of lending liquidity on house prices especially during black swan events such as the Global Financial Crisis of 2007–08 and COVID-19. Homeownership is an important goal for many, and house prices are a significant driver of household wealth and the wider economy. This study argues that excessive liquidity from central banks may be driving house price increases, despite negative changes to fundamental drivers. This study contributes to the literature by examining lending liquidity as a driver of house prices and evaluating the efficacy of fiscal policies aimed at boosting liquidity during black swan events.

This study aims to examine the impact of quantitative easing on Australian house prices during back swan events using data from 2004 to 2021. All macroeconomic and financial data are freely available from official sources such as the Australian Bureau of Statistics and the nation's Central Bank. Methodology wise, given the problematic nature of the data such as a mixed order of integration and the possibility of cointegration among some of the I(1) variables, the auto-regressive distributed lag model was selected given its flexibility and relative lack of assumptions.

The Australian housing market continued to perform well during the COVID-19 pandemic, with the house price index reaching an unprecedented high towards the end of 2021. Research using data from 2004 to 2021 found a consistent positive relationship between house prices and housing finance, as well as population growth and the value of work commenced on residential properties. Other traditional drivers such as the unemployment rate, economic activity, stock prices and income levels were found to be less significant. This study suggests that quantitative easing implemented during the pandemic played a significant role in the housing market's performance.

Given the severity of COVID-19, policymakers have responded with fiscal and monetary measures that are unprecedented in scale and scope. The full implications of these responses are yet to be completely understood. In Australia, the policy interest rate was reduced to a historic low of 0.1%. In the following periods house prices appreciated by over 20%. The efficacy of quantitative easing and associated fiscal policies aimed at boosting liquidity to mitigate the impact of black swan events such as the pandemic has yet to be tested empirically. This study aims to address that paucity in literature by providing such evidence.

Belfast's “peace walls” exist to physically segregate and provide a measure of security to the communities on the religious divide in Northern Ireland. Whilst they do ostensibly achieve this aim, it may well be that these structures have the capacity to prevent the restoration of normal community interactions and market processes and may also be providing their benefits at a high price with regard to issues such as house price reduction. Indeed, the effect of these structures on surrounding residential property values remains somewhat of an unknown quantity. This paper therefore measures the effect of proximity to locations with social and political conflicts. The paper aims to quantify and measure the disamenity implications and costs of artificial barriers (peace walls) within the Belfast housing market.

This paper attempts to measure the disamenity effect of peace walls on house prices, primarily focusing on the effect of distance, calculated using a hedonic pricing specification and spatially referenced data. The data are derived from 3,836 house sales transactions over a one year period in 2011.

The emerging findings demonstrate that a greater negative pricing effect is evident with proximity to the peace walls, with the exception of the apartment sector. The findings also highlight the complex market pricing structure of Belfast and offer insight as how to best classify submarkets.

The results of the research are of particular interest to property valuers and social policy makers in regions with contested space.

Tactile barriers scar the urban terrain, formalise ethno-segregation across Belfast and have implications for spatial planning in the urban environment and housing studies and policy. Such an externality may have a pervasive and endogenous effect on house prices and the identification of submarkets yet there is implicit acceptance of peace lines as de facto standard and a dearth of empirical evidence relating to direction and magnitude of the location-specific effects of peace walls on house prices in Belfast. This paper is arguably the first to empirically examine the location-specific effects of peace walls on property value across the Belfast area.

This paper aims to discuss the link between socio-economic characteristics of house buyers and their housing location choices. The major objective of the study is an examination of the role of household socio-economic characteristics. The research addresses the importance of previous residence location and latent housing motives for intra-urban housing mobility.

The research examines housing preferences structure and analyzes housing location choices in the city of Krakow (Poland) using discrete choice model (conditional logit model). The research is based on stated preference data from Krakow.

The results of this study suggest that demand for housing alternatives is negatively linked to the distance from current residence. Other factors stay equal, the further the distance, the less likely a household is willing to choose a location within the metropolitan area. The study indicates that housing motives can help explain housing location decisions.

The paper provides an empirical assessment of housing decisions in Krakow, one of the major metropolitan areas in Poland.

The paper contributes to a better understanding of the nature of housing decision and housing preferences in emerging markets in Central and Eastern Europe. As a result, presented research helps to fill the gap in housing market and urban economics literature.

The classical land market model assumes a one‐workplace scenario. However, with the globalization trend, travel between two workplaces is becoming more and more common. This paper therefore aims to study the housing price gradient changes between Macau and Hong Kong to test the two workplaces hypotheses.

The temporal‐spatial difference of housing prices between the two neighboring cities are studied by using a two‐workplace residential location choice model.

This paper found that housing price gradient from Macau to Hong Kong is flattened when more non‐resident workers traveled from Hong Kong to Macau (ceteris paribus).

The results have important implications for polycentric city models and provide a novel method to study neighboring city effects on housing price.

Using the resource‐based view, a study was conducted to identify resources required to successfully compete in the Malaysian housing development industry. Data was collected using postal questionnaires and interviews. From the statistical tests done on the data, it was found that variation in certain firm characteristics influenced the value the respondents attached to certain resources. In addition, the more housing segments the developers operated, the more emphasis are given to organisational strategy and policies. There is an inverted‐U relationship between product diversification and trade secrets and innovation, with the maximum value at four housing segments. The housing developers that practise strategic management emphasised significantly more on management expertise and experience than those that did not. No variation in the value attached to resources was found when the other two firm characteristics, i.e. legal status and geographical diversification, were examined. Given the small number of companies that participated in the study, the results should be treated with circumspect. What the study provided though are grounds for more in‐depth study to be conducted.