scholarly journals What Drives House Price Cycles? International Experience and Policy Issues

2021 ◽  
Vol 59 (3) ◽  
pp. 773-864
Author(s):  
John V. Duca ◽  
John Muellbauer ◽  
Anthony Murphy
Keyword(s):  
Financial Stability ◽  
House Prices ◽  
Supply And Demand ◽  
Housing Prices ◽  
House Price ◽  
Policy Makers ◽  
Price Expectations ◽  
Data Tracking ◽  
House Price Expectations

The role of real estate during the global financial and economic crisis has prompted efforts to better incorporate housing and financial channels into macro models, improve housing models, develop macroprudential tools, and reform the financial system. This article provides an overview of major, recent contributions to the literature in relation to earlier research on what drives housing prices and how they affect economic activity. Particularly emphasized are studies, both theoretical and more strongly evidence-based, that connect housing markets with credit markets, house price expectations, financial stability, and the wider economy. The literature reveals much diversity in the international and regional behavior of house prices and the need to improve data tracking key housing supply and demand influences. Also reviewed are studies examining how monetary, macroprudential, and other policies affect house prices and access to housing. This survey is designed to help readers navigate the plethora of recent studies and understand the unsettled issues and avenues for further research. The findings should be of interest to policy makers concerned with financial stability as well as those dealing with the role of housing in the wider economy (JEL E32, E44, E63, G01, G21, R31).

scholarly journals Accuracy of Households’ Dwelling Valuations, Housing Demand and Mortgage Decisions: Israeli Case

2021 ◽  
Author(s):  
Alla Koblyakova ◽  
Larisa Fleishman ◽  
Orly Furman
Keyword(s):  
Academic Research ◽  
House Price ◽  
Housing Demand ◽  
Empirical Estimation ◽  
Cross Sectional ◽  
Price Expectations ◽  
Housing Services ◽  
House Price Expectations ◽  
Supply Side Factors

AbstractHousing policy, as well as academic research, are increasingly concerned with the role of bias in subjective dwelling valuations as a proximate measure of households’ house price expectations and their relationship with housing demand. This paper contributes to this area of study by exploring the possibility of simultaneous relationships between households’ price expectations and incentive to maximise the size of housing services demanded also accounting for the supply side factors and regional perspective. The empirical estimation takes the form of a system of a two simultaneous equations model applying two stage least squares estimation technique. Cross sectional estimations utilise data extracted from the Israeli Longitudinal Panel Survey (LPS) data. Applying the best available proxy for households’ price expectations, calculated as the ratio between subjective dwelling valuations (LPS) and the estimated market value of the same properties, research has identified the interrelated factors that simultaneously influence householders’ price expectations and housing demand. Results offer conceptual and empirical advantages, highlighting the imperfect nature of the housing market, as reflected by the inseparability of bias in subjective valuations and housing decisions.

scholarly journals The House Price Dynamics and the Macro-Economy: an Empirical Perspective of UAE

2019 ◽  
Vol 2 (1) ◽  
pp. 28-33
Author(s):  
Yahya Hamad Al Zaabi ◽  
Genanew Bekele
Keyword(s):  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Housing Price ◽  
Future Research ◽  
Hedonic Price ◽  
Policy Makers ◽  
Empirical Perspective ◽  
House Condition ◽  
Internal And External Factors

Objective: The paper aims to examine house price drivers in Dubai, addressing the effect of internal and external factors afecting house prices   Design/methedology/approach: Using the Hedonic price model, the study examined the implications of house size (space), the availability of bathrooms, bedrooms, waterfronts, and pool and cell phone towers within residential area as auxiliary determinant factors to housing price within developed cities by using the Hedonic Modelling. Also, study highlight the effect of the green strategies that been followed by developer on the housing prices.   Findings: The study is expected to reveal results with significant ramifications for researchers, practitioners and policy makers. From a policy perspective, there is an obvious interest in understanding whether the price of housing is affected by different attributes differently along its distribution.   Research limitations/implications: The data used in this study could be limited, and depends on information to be provided by the Dubai Land Department. There is a room for future research to include more data (such as on other house attributes such as house condition, plot numbers and configuration).

The Role of Housing and Mortgage Markets in the Financial Crisis

2018 ◽  
Vol 10 (1) ◽  
pp. 25-41 ◽  
Author(s):  
Manuel Adelino ◽  
Antoinette Schoar ◽  
Felipe Severino
Keyword(s):  
Financial Crisis ◽  
Middle Class ◽  
House Price ◽  
Mortgage Lending ◽  
Subprime Crisis ◽  
Price Expectations ◽  
The Great Recession ◽  
Widespread Agreement ◽  
House Price Expectations

Ten years after the financial crisis of 2008, there is widespread agreement that the boom in mortgage lending and its subsequent reversal were at the core of the Great Recession. We survey the existing evidence, which suggests that inflated house-price expectations across the economy played a central role in driving both the demand for and the supply of mortgage credit before the crisis. The great misnomer of the 2008 crisis is that it was not a subprime crisis but rather a middle-class crisis. Inflated house-price expectations led households across all income groups, especially the middle class, to increase their demand for housing and mortgage leverage. Similarly, banks lent against increasing collateral values and underestimated the risk of defaults. We highlight how these emerging facts have essential implications for policy.

House-Price Expectations, Alternative Mortgage Products, and Default

2013 ◽  
Author(s):  
Jan K. Brueckner ◽  
Paul S. Calem ◽  
Leonard I. Nakamura
Keyword(s):  
House Price ◽  
Price Expectations ◽  
House Price Expectations

scholarly journals The role and significance of planning in the determination of house prices in Australia: Recent policy debates

2021 ◽  
pp. 0308518X2198894
Author(s):  
Peter Phibbs ◽  
Nicole Gurran
Keyword(s):  
Land Use ◽  
Housing Market ◽  
Land Use Planning ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Evidence Base ◽  
Urban Housing ◽  
Price Inflation ◽  
Depth Analysis

On the world stage, Australian cities have been punching above their weight in global indexes of housing prices, sparking heated debates about the causes of and remedies for, sustained house price inflation. This paper examines the evidence base underpinning such debates, and the policy claims made by key commentators and stakeholders. With reference to the wider context of Australia’s housing market over a 20 year period, as well as an in depth analysis of a research paper by Australia’s central Reserve Bank, we show how economic theories commonly position land use planning as a primary driver of new supply constraints but overlook other explanations for housing market behavior. In doing so, we offer an alternative understanding of urban housing markets and land use planning interventions as a basis for more effective policy intervention in Australian and other world cities.

scholarly journals Assessing the impacts of Airbnb listings on London house prices

2021 ◽  
pp. 239980832110018
Author(s):  
James Todd ◽  
Anwar Musah ◽  
James Cheshire
Keyword(s):  
Random Effects ◽  
Rapid Growth ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Positive Association ◽  
Sharing Economy ◽  
Local Context ◽  
Fixed And Random Effects ◽  
The World

Over the course of the last decade, sharing economy platforms have experienced significant growth within cities around the world. Airbnb, which is one of the largest and best-known platforms, provides the focus for this paper and offers a service that allows users to rent properties or spare rooms to guests. Its rapid growth has led to a growing discourse around the consequences of Airbnb rentals within the local context. The research within this paper focuses on determining impact on local housing prices within the inner London boroughs by constructing a longitudinal panel dataset, on which a fixed and random effects regression was conducted. The results indicate that there is a significant and modest positive association between the frequency of Airbnb and the house price per square metre in these boroughs.

scholarly journals Liquidity, interest rates and house prices in the euro area: a DSGE analysis

2016 ◽  
Vol 9 (1) ◽  
pp. 4-25 ◽  
Author(s):  
Margarita Rubio ◽  
José A. Carrasco-Gallego
Keyword(s):  
Interest Rates ◽  
Monetary Union ◽  
Euro Area ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Dsge Model ◽  
Content Type ◽  
The Core ◽  
Dynamic Stochastic

Purpose This study aims to build a two-country monetary union dynamic stochastic general equilibrium (DSGE) model with housing to assess how different shocks contributed to the increase in housing prices and credit in the European Economic and Monetary Union. One of the countries is calibrated to represent the core group in the euro area, while the other one corresponds to the periphery. Design/methodology/approach In this paper, the authors explore how a liquidity shock (or a decrease in the interest rate) affects house prices and the real economy through the asset price and the collateral channel. Then, they analyze how a house price shock in the periphery and a technology shock in the core countries are transmitted to both economies. Findings The authors find that a combination of an increase in liquidity in the euro area coming from the common monetary policy, together with asymmetric house price and technology shocks, contributed to an increase in house prices in the euro area and a stronger credit growth in the peripheral economies. Originality/value This paper represents the theoretical counterpart to empirical studies that show, through macroeconometric models, the interrelation between liquidity and other shocks with house prices. Using a DSGE model with housing, the authors disentangle the mechanisms behind these empirical findings.

scholarly journals HOUSING POLICIES IN SINGAPORE: EVALUATION OF RECENT PROPOSALS AND RECOMMENDATIONS FOR REFORM

2014 ◽  
Vol 59 (03) ◽  
pp. 1450025 ◽  
Author(s):  
SOCK-YONG PHANG ◽  
DAVID LEE ◽  
ALAN CHEONG ◽  
KOK-FAI PHOON ◽  
KAROL WEE
Keyword(s):  
Housing Market ◽  
House Prices ◽  
Supply And Demand ◽  
Housing Prices ◽  
Housing Affordability ◽  
Property Taxes ◽  
Housing Supply ◽  
Housing Policies ◽  
Global Liquidity ◽  
The Government

The Singapore housing market is unusual in its high homeownership rate, the dominance of HDB housing, and the extensive intervention of the government in regulating housing supply and demand in both the HDB and private housing sectors. Recent rapid population increases in a low interest rate and high global liquidity environment has resulted in accelerated house prices increases in Singapore. Earlier this year, the government launched "Our Singapore Conversation" of which discussion on housing policies constitutes one major component. This "conversation" comes in the wake of several consecutive rounds of measures to stabilize housing prices using various instruments. This paper evaluates the main policy changes proposed and makes recommendations for housing market reforms: (i) the government need to clarify goals of housing policies and make available more detailed data on the foreign component of our population for better analysis of housing markets; (ii) the housing supply regime should target an overall effective vacancy rate that encompasses both the Housing and Development Board (HDB) and private sector; (iii) policy makers need to monitor carefully excess demand indicators for housing in addition to housing affordability indicators over the entire spectrum of incomes and household types; (iv) housing REITs should be established to provide an alternative investment option as well as to develop an efficient and affordable rental sector; and (v) in addition to macroprudential measures, owner-occupancy requirements and fiscal measures such as stamp duties and property taxes could be further utilized to reduce the foreign demand for Singapore housing and real estate.

scholarly journals A dynamic model for housing price spillovers with an evidence from the US and the UK markets

2018 ◽  
Vol 2 (1) ◽  
pp. 70-81 ◽  
Author(s):  
Alper Ozun ◽  
Hasan Murat Ertugrul ◽  
Yener Coskun
Keyword(s):  
New York ◽  
Real Estate ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Housing Markets ◽  
Content Type ◽  
Real Estate Markets ◽  
Country Level ◽  
The Us

Purpose The purpose of this paper is to introduce an empirical model for house price spillovers between real estate markets. The model is presented by using data from the US-UK and London-New York housing markets over a period of 1975Q1-2016Q1 by employing both static and dynamic methodologies. Design/methodology/approach The research analyzes long-run static and dynamic spillover elasticity coefficients by employing three methods, namely, autoregressive distributed lag, the fully modified ordinary least square and dynamic ordinary least squares estimator under a Kalman filter approach. The empirical method also investigates dynamic correlation between the house prices by employing the dynamic control correlation method. Findings The paper shows how a dynamic spillover pricing analysis can be applied between real estate markets. On the empirical side, the results show that country-level causality in housing prices is running from the USA to UK, whereas city-level causality is running from London to New York. The model outcomes suggest that real estate portfolios involving US and UK assets require a dynamic risk management approach. Research limitations/implications One of the findings is that the dynamic conditional correlation between the US and the UK housing prices is broken during the crisis period. The paper does not discuss the reasons for that break, which requires further empirical tests by applying Markov switching regime shifts. The timing of the causality between the house prices is not empirically tested. It can be examined empirically by applying methods such as wavelets. Practical implications The authors observed a unidirectional causality from London to New York house prices, which is opposite to the aggregate country-level causality direction. This supports London’s specific power in the real estate markets. London has a leading role in the global urban economies residential housing markets and the behavior of its housing prices has a statistically significant causality impact on the house prices of New York City. Social implications The house price co-integration observed in this research at both country and city levels should be interpreted as a continuity of real estate and financial integration in practice. Originality/value The paper is the first research which applies a dynamic spillover analysis to examine the causality between housing prices in real estate markets. It also provides a long-term empirical evidence for a dynamic causal relationship for the global housing markets.

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