It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
This study develops a dynamic model to analyze the optimal consumption and portfolio choices of households acquiring housing services through renting or owning. The model incorporates time-varying financial constraints, represented by the liquid wealth-to-house value ratio, to provide a unified framework for decision-making. We examine the optimal timing and size of house purchases, highlighting the role of intergenerational transfers in facilitating homeownership. By employing a recursive utility function that disentangles risk aversion from the elasticity of intertemporal substitution, the model extends beyond the limitations of standard CRRA utility. Empirical validation using data from the China Household Finance Survey reveals strong consistency between theoretical predictions and observed household behaviors, offering new insights into housing and portfolio decisions under financial constraints.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Department of Marketing, Beijing Technology and Business University , Beijing , China
2 Credit Reference Center of The People’s Bank of China , Beijing , China
3 Department of Marketing, Business School, Beijing International Studies University , No.1 Dingfuzhuangnanli , Chaoyang District , Beijing, 100024 , China
4 Department of Marketing, Southwestern University of Finance and Economics , Sichuan , China





