scholarly journals The Sensitivity of Housing Demand to Financing Conditions: Evidence from a Survey

2021 ◽  
Vol 13 (1) ◽  
pp. 231-265
Author(s):  
Andreas Fuster ◽  
Basit Zafar

Measuring the sensitivity of housing demand to mortgage rates and available leverage is challenging because there is generally no exogenous variation in these variables. This paper circumvents this issue by designing a strategic survey in which respondents report their willingness to pay (WTP) for a home under different financing scenarios. Relaxation of down payment constraints or an exogenous increase in nonhousing wealth has large effects on WTP, especially for poorer and more credit-constrained households. However, changing the mortgage rate has only moderate effects on WTP. These findings have implications for theoretical models of house price determination and for policy. (JEL G21, G51, R21, R38)

2017 ◽  
Vol 15 (4) ◽  
Author(s):  
Salina Hj Kassim ◽  
Nur Harena Redzuan ◽  
Nor Zalina Harun

The current practise of the Islamic banks to rely on market interest rate as pricing benchmark for their home financing products has been a subject of intense debate among many parties. Muslim scholars have warned that it is highly discouraged as it could lead to a possible convergence between the practices of the Islamic and conventional banks. This paper intends to address the financing issues in the discussion of human settlement or housing policy by presenting the determinants for house price index as well as looking into the possibility of adopting the House Price Index (HPI) to replace the market interest rate as a pricing benchmark for the Islamic home financing. The study applies Auto-Regressive Distributed Lag (ARDL) method on a model comprising HPI as the dependent variable and a set of independent variables consisting of economic, housing demand and housing supply factors. The findings lead to the formulation of recommendations as a way forward for the Islamic banking industry in particular, and the economy in general. This will require a paradigm shift from basic financing products to a more holistic approach which integrates supply of housing factors, as well as urban planning and urban finance, with human rights and recognizes the need to place and shelter people.


Author(s):  
Alla Koblyakova ◽  
Larisa Fleishman ◽  
Orly Furman

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.


2020 ◽  
Vol 38 (6) ◽  
pp. 539-550
Author(s):  
Dario Pontiggia ◽  
Petros Stavrou Sivitanides

PurposeThe purpose of this paper is to assess whether the rapid accumulation of bank deposits before the global financial crisis and their subsequent drastic reduction was the main driving force of the Cyprus house price cycle over the period 2006–2015.Design/methodology/approachTo this aim we estimate a three-equation model in which house prices are determined by housing loans, among other factors, and housing loans are determined by bank deposits. All equations are estimated using partial adjustment model specifications.FindingsOur findings indicate that housing loans, which capture the effect of credit availability on housing demand, had the smallest effect on house prices, thus providing little support to our proposition of a deposits-driven cycle in house prices.Research limitations/implicationsThe main limitation of the study is the use of the housing loan stock instead of the actual volume of housing loans in each period due to lack of such data. As a result our econometric estimates may not accurately capture the magnitude of the effect of housing loans on house prices.Practical implicationsThe study has important practical implications for policy makers as it highlights the importance of availability of credit in supporting effective demand for housing during periods of economic growth. Furthermore, it highlights the key role of house price increases in combination with the collateral effect in driving the house price cycle.Originality/valueThis is among the few studies internationally and the first study in Cyprus that attempts to link econometrically the credit and house price cycles that were caused by the global financial crisis.


2008 ◽  
Vol 17 (2) ◽  
pp. 175-190 ◽  
Author(s):  
Katherine A. Kiel ◽  
Jeffrey E. Zabel

Author(s):  
Keren Sun

According to the data from China Statistical Yearbooks, we can calculate the average annual house price increase rate, and get such results: in the 21st century the average annual house price increase rate of China, Beijing City, Shanghai City, and Shenzhen City are 7.89%, 11.7%,11.23%, and 13.96% respectively. A small part of people is happy this situation, but most people are not. This situation has led to a substantial increase in housing prices, which has severely eroded the housing demand and well-being of the middle and low classes, then interest conflicts emerge. This paper analyzes the similarities between marriage needs and housing needs, they both belong to the physiological needs and existence needs, then marriage needs and housing needs are both needed to be adjusted by the moral system, rather than to allow power and wealth to be unscrupulous and unconstrained in these fields of housing demand and marriage demand.


Author(s):  
Kaiji Chen

The house price boom that has been present in most Chinese cities since the early 2000s has triggered substantial interest in the role that China’s housing policy plays in its housing market and macroeconomy, with an extensive literature employing both empirical and theoretical perspectives developed over the past decade. This research finds that the privatization of China’s housing market, which encouraged households living in state-owned housing to purchase their homes at prices far below their market value, contributed to a rapid increase in homeownership beginning in the mid-1990s. Housing market privatization also has led to a significant increase in both housing and nonhousing consumption, but these benefits are unevenly distributed across households. With the policy goal of making homeownership affordable for the average household, the Housing Provident Fund contributes positively to homeownership rates. By contrast, the effectiveness of housing policies to make housing affordable for low-income households has been weaker in recent years. Moreover, a large body of empirical research shows that the unintended consequences of housing market privatization have been a persistent increase in housing prices since the early 2000s, which has been accompanied by soaring land prices, high vacancy rates, and high price-to-income and price-to-rent ratios. The literature has differing views regarding the sustainability of China’s housing boom. On a theoretical front, economists find that rising housing demand, due to both consumption and investment purposes, is important to understanding China’s prolonged housing boom, and that land-use policy, which influences the supply side of the housing market, lies at the center of China’s housing boom. However, regulatory policies, such as housing purchase restrictions and property taxes, have had mixed effects on the housing market in different cities. In addition to China’s housing policy and its direct effects on the nation’s housing market, research finds that China’s housing policy impacts its macroeconomy via the transmission of house price dynamics into the household and corporate sectors. High housing prices have a heterogenous impact on the consumption and savings of different types of households but tend to discourage household labor supply. Meanwhile, rising house prices encourage housing investment by non–real-estate firms, which crowds out nonhousing investment, lowers the availability of noncollateralized business loans, and reduces productive efficiency via the misallocation of capital and managerial talent.


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