House price expectations, mortgages, and subjective well‐being in urban China

Author(s):  
Zhifang Su ◽  
Jr‐Tsung Huang ◽  
Arthur Jin Lin
2013 ◽  
Author(s):  
Jan K. Brueckner ◽  
Paul S. Calem ◽  
Leonard I. Nakamura

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.


2015 ◽  
Author(s):  
Jan K. Brueckner ◽  
Paul S. Calem ◽  
Leonard I. Nakamura

2018 ◽  
Vol 10 (10) ◽  
pp. 3480 ◽  
Author(s):  
Shuai Zhang ◽  
Binbin Liu ◽  
Dajian Zhu ◽  
Mingwang Cheng

A growing body of literature explains subjective well-being (SWB) from different perspectives. The statement of “built, human, social, and natural capital are necessary determinants of SWB” is named the four-capital model. Based on a cross-sectional dataset in 2013, which included 3293 individuals and covered the urban areas of most provinces in China, this paper employs the four-capital model to explain individual SWB of urban China. We select individual income and household income per capita as proxies of built capital; physical health and education as proxies of human capital; social connection and social trust as proxies of social capital; and air quality as a proxy of natural capital. In the four-capital model, household income per capita and physical health have almost the same and larger positive impacts on individual SWB of urban China; social connection, social trust, and air quality have smaller and diminishing positive impacts on individual SWB of urban China; and individual income and education are statistically insignificant. The empirical results offer guidance on how to achieve human-centered urbanization for China. This paper provides insights into how to further improve human well-being of urban residents in China and the applicability of the four-capital model in explaining SWB at the individual level.


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