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The global financial crisis has led to increased attention on the relationship of household indebtedness and systemic risks. As a result, macroprudential measures aimed at reducing the risks have been introduced in many countries. The purpose of this paper is to review the recent empirical literature on the measures targeted at households in the housing markets.

This note reviews and discusses the recent empirical literature on macroprudential measures targeted at households in the housing market as well as housing-related tax policy measures.

To date, the literature mostly consists of cross-country studies using aggregate data and looking at a large set of different measures. The studies typically report associations between the measures and the outcome variables of interest (often credit growth and house price appreciation), but do not assess the causal effects of the different measures or the underlying mechanisms.

Exploiting household data together with policy reforms should be a useful step forward in understanding the effects of the measures and uncovering the mechanisms through which they operate. This would also allow studying the distributional effects of the measures. Understanding the distributional effects is important in its own right, but it is also required because the ultimate goals of the macroprudential policies are related not only to the aggregate level of credit but also to the distribution of leverage.

The Irish fiscal position was significantly affected by the recent financial crisis. Budgetary surpluses quickly gave way to significant deficits post 2007, culminating into a lengthy excessive deficit procedure and entry into a formal EU/IMF assistance programme in 2010. Much of the deterioration in the public finances was caused by a sharp decline in property-related taxes because the Irish housing market rapidly contracted. In this paper, the authors quantify the extent to which disequilibria in the housing market can affect the tax take, finding significant implications over an extended period.

The authors attempt to quantify the extent of housing-related tax windfall gains and losses in Ireland over a 30-year period as a result of disequilibrium in the housing market. This involves a three-step modelling approach where we relate property-dependent taxes to the housing market while estimating equilibrium in the latter before solving for the tax take consistent with that equilibrium. In so doing, the authors find that the fiscal position compatible with equilibrium in the housing market has at times diverged greatly from actual outturns.

This paper confirms the significant role played by the housing market in influencing both the tax-take and the overall fiscal position. The authors find that there have been a number of instances where excesses in the housing market have spilled over into fiscal aggregates, notably in the housing bubble period between 2003 and 2008. However, with the on-going adjustments in the housing market, it would appear that prices and volumes have overcorrected in recent years. Overall, much greater emphasis should be given to the role of the housing market in forecasting key taxation aggregates.

The recent crisis highlighted how domestic policy mistakes (both in terms of budgetary planning and financial market regulation) can greatly amplify economic shocks. Irish budgetary policy in the run up to the financial crisis of 2008/2009 was clearly based on unsustainable levels of housing-related tax receipts. This paper highlights the need for a much more granular approach in framing tax forecasts and in assessing the public finances by more explicitly factoring in housing market developments.

It was not until the late 1960s that housing attracted much attention from academic social scientists. Since that time the literature has expanded widely and diversified, establishing housing with a specialised status in economics, sociology, politics, and in related subjects. As we would expect, the new literature covers a technical, statistical, theoretical, ideological, and historical range. Housing studies have not been conceived and interpreted in a monolithic way, with generally accepted concepts and principles, or with uniformly fixed and precise methodological approaches. Instead, some studies have been derived selectively from diverse bases in conventional theories in economics or sociology, or politics. Others have their origins in less conventional social theory, including neo‐Marxist theory which has had a wider intellectual following in the modern democracies since the mid‐1970s. With all this diversity, and in a context where ideological positions compete, housing studies have consequently left in their wake some significant controversies and some gaps in evaluative perspective. In short, the new housing intellectuals have written from personal commitments to particular cognitive, theoretical, ideological, and national positions and experiences. This present piece of writing takes up the two main themes which have emerged in the recent literature. These themes are first, questions relating to building and developing housing theory, and, second, the issue of how we are to conceptualise housing and relate it to policy studies. We shall be arguing that the two themes are closely related: in order to create a useful housing theory we must have awareness and understanding of housing practice and the nature of housing.

This article considers the effects of UK government cuts across the housing, care and support sector on vulnerable people. The article urges that the human and financial costs of savings are fully considered, as these could outweigh the short‐term financial savings. The article also sets out what the National Housing Federation is doing to urge the government to consider the impact of the cuts on vulnerable people in particular.

Acknowledging that housing forms a large part of households’ and country’s long-term wealth, the South African Government has implemented various housing-related policies towards that end. Among these, the government has extended transfer duty exemption to house buyers – both individuals or natural persons and companies or other parties – to enable them buy houses of their choices since January 1950 to date. This paper aims to investigate the relationship between historical transfer duty exemption and housing demand in the City of Johannesburg (CoJ) over a longer period, where a comprehensive data set on house sales and other predictors was available.

This paper uses multi-year data on repeat house sales from 2010 to 2020 and other macro- and socio-economic variables to test the relationship between transfer duty exemption and housing demand in the CoJ, a core part of Gauteng province, South Africa. After cleaning the original data, final analysis was based on 139,121 repeat sales transactions. Data was analyzed in R.

Findings suggest that, when macro-, socio-economic and yearly effects are controlled, transfer duty has a damping effect on housing demand in the CoJ. The results were consistent across all the estimated models. While the motivation behind the implementation of transfer duty exemption in South Africa continues to encourage home ownership, these findings are unexpected because they do not offer support to that policy intention. These unexpected results are partly explained by the prevailing complexities of the housing market and related policies and the progressive tax regime. However, there are welfare effects that all buyers achieve across the housing market ecosystem.

This paper extends work on housing markets research in South Africa through the investigation of mortgage-based housing market in the CoJ that presents one of the densest, developed, bustling and growing housing market in the country. It also presents a fertile ground where all the effects of all the housing policies coalesce – in the statistical sense, one can control the effect of some aspects of housing policies, while appropriately testing the link between a specific policy (in this case, transfer duty exemption) and housing dynamics.

For almost two years, the economic shocks and financial uncertainty created by the Covid-19 pandemic have affected all sectors. The private sector employees may be the worst hit. This is because of the lockdown across many countries, including the Kingdom of Saudi Arabia (KSA), leading to income irregularities. Studies exploring private-sector employees concerning housing finance for the houses purchased and how the lockdown has affected their sources of income for repayment plans are scarce. Therefore, this study aims to investigate the possible early negative impacts of Covid-19 on private sector employees’ housing finance homeownership in KSA.

A phenomenology type of qualitative research was used. Data were sourced from three cities (Riyadh, Al-Qassim and Medina) and three mortgage banks across KSA. Virtual interviews via Zoom and WhatsApp video calls were conducted with engaged participants (bankers, government agencies and private sector employees). Thematic analysis was adopted, and the analysed data was presented in themes.

Findings show that the partial and full lockdown resulted in income irregularities in many private businesses. Also, findings identified downsizing, leading to large-scale unemployment, half-monthly income for employees, loss of profit, human resources wastage, etc. Findings reveal that because of the economic shock, many homeowners have not been able to meet up with their monthly mortgage repayment obligation. Also, the absence of financial support in form of socioeconomic needs has not helped the matter.

The paper is limited to the early negative impacts of Covid-19 on private sector employees’ housing finance homeownership in KSA and data collected via Zoom and WhatsApp video calls across the three main cities. The recommendations that will emerge from this study may be adopted by other Gulf and Islamic countries with similar homeownership repayment challenges.

This study would stir key stakeholders, especially the policymakers and mortgage institutions to consider future policy principles that focus on who is at the highest risk for housing-related hardships because of the Covid-19 or future pandemic. The outcome can be used to develop an equitable housing policy framework to foster long-term economic mobility and be validated in the future by scholars.

Similar research in this area is limited, which makes this study one of the pioneering attempts to investigate the early negative impacts of Covid-19 on private sector employees’ housing finance homeownership in KSA. The paper sheds light on the emerged early negative impacts and proffer feasible possible solutions to promote homeownership amongst Saudi citizens.

This study aims to explore the effect of Saudi Vision 2030 and its government initiatives on macroeconomic variables related to housing.

This exploratory study used an empirical–analytical approach. Based on secondary data, a set of hypotheses was contrasted to verify whether there has been any change in the trends of macroeconomic variables related to housing after Saudi Vision 2030 entered into force.

The results show that the trend of percentage of housing ownership went from a continuous decrease to accelerated growth since the implementation of Saudi Vision 2030. However, the effect of these advances is not observed in non-oil gross domestic product (GDP) or in the economic activities of the construction, real estate and financial services sectors.

This study notes that despite successful housing outcomes, it appears that Saudi Vision 2030 does not have a positive impact on non-oil GDP. Consequently, government entities should review the degree to which other economic activities contribute to non-oil GDP. A limitation of the study was that the GDP of housing construction and marketing and that of granting mortgage loans were not specifically available, nor were data on public and private investment made for implementing government initiatives.

To the best of the authors’ knowledge, this is the first study to explore the effect of Saudi Vision 2030 on housing and its contribution to the economy.

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 paper is to provide an overview of the economics of providing well-located housing in the inner city of Cape Town. The paper emphasises the need to maintain an appropriate balance between the viability and affordability of the product offered to the market and overcoming the value versus cost challenges. While developers have limited influence over value, they do have influence over cost structures through the development approach that is chosen. Moreover, local authorities influence the viability of projects through standards and regulations. The conclusion drawn from the research has considerable implications for the formulation of market-driven housing policy interventions.

In addition to the review of urban economics theory and the literature on the drivers and costs of inner-city, higher-density residential development, a series of interviews with inner-city residential developers was conducted to access current property development cost data and to identify the parameters that determine the viability of inner-city, high-density residential development.

Cape Town, like other South African cities, suffers from being inefficient and inequitable largely due to its low density and sprawling nature. As a result, most planning- and housing-related policy interventions advocate the provision the higher-density, more affordable residential housing in well-located areas such as the inner city. However, to date, these policies have, on the whole, been unsuccessful in achieving these outcomes. This paper argues that this is because these policies largely do not take urban economics into account and fail to address the value versus cost tension that needs to be overcome to allow for the provision of such accommodation. Based on the viability calculations provided, the research illustrates the main cost drivers associated with higher-density, inner-city residential development and makes certain recommendations as to how these cost barriers can be reduced.

Financing arrangements and taxation implications have not been accounted for as these are often specific to the developer and thus cannot be generalised.

The solutions put forward by the paper offer lower-income households the ability to successfully compete with higher-income households and other land uses for well-located space in Cape Town’s inner city.

The findings of this research illustrate the type of interventions that the public and private sectors can consider to improve the viability and affordability of affordable housing units in city centres located in emerging countries.

While traditional urban economic concepts are drawn upon, the paper contributes to addressing the challenge of providing higher-density, more affordable accommodation in South African inner cities. It does this by applying these well-known concepts to the inner city of Cape Town and draws on current data and developer views to accurately diagnose the problem and, in turn, to offer pragmatic solutions.

The global financial crisis (GFC) of 2008‐2009 has highlighted the need for understanding fluctuations in housing variables and how, as such, they contribute to understanding how housing markets work. The contention of this paper is to present a univariate structural time series analysis of the Australian Housing Finance Commitments (HFCs) covering the period 1988:6‐2009:5. The empirical analysis aims to focus on establishing whether monthly HFCs exhibit the expected cyclical and seasonal variations. The presence of a monthly seasonal pattern in HFCs is to be ascertained by way of testing possible hypotheses that explain such a pattern.

A structural time series framework approach, used in this paper, is in line with that promulgated by Harvey. Such models can be interpreted as regressions on functions of time in which the parameters are time‐varying. This makes them a natural vehicle for handling changing seasonality of a complex form. The structural time series model is applied to seasonally unadjusted monthly HFCs, between 1988:6 and 2009:5. The data have been sourced from the ABS. For consistency, the sample for each variable is standardised to start with the first available July observation and end with the latest available June observation.

The modelling results confirm the presence of cyclicality in HFCs. The magnitude of the observed cycle‐related changes is A$817m. A structural time series model incorporating trigonometric specification reveals that seasonality is also present and that it is stochastic (as implied by the inconsistency of the monthly seasonal factors over the sample period). The magnitude of monthly seasonal changes is A$435.8m. The results show the presence of statistically significant factors for January, February, March, April, May, September, October and November, which are attributed to “spring”, “summer” and “autumn” seasonal effects.

Empirical evidence of variations in housing‐related variables is relatively limited. A study of the literature uncovered that most studies focus on house prices and found no empirical research focusing on fluctuations in HFCs. Consequently, this research aims to be the first to explain the presence of seasonal and cyclical fluctuations in such an important housing variable as HFCs. Moreover, the paper aims to enhance the practice of modelling seasonal influences on housing variables.