财富不平等和最高贷款价值比政策的分配效应

IF 1.9 3区 经济学 Q2 ECONOMICS
William Gatt
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引用次数: 0

摘要

宏观审慎政策通过降低金融危机的可能性和严重性来改善经济成果。然而,引入宏观审慎政策制度是否会产生意想不到的长期后果,这些后果是否取决于财富不平等的程度?为了回答这些问题,我研究了两个初始财富分散度不同的经济体降低最高贷款价值比(LTV)对住房拥有率、房价和住房财富不平等的影响。我使用了一个异质代理模型,在该模型中,家庭面临抵押品约束形式的内生借贷限制。按揭成数限制的降低会收紧借贷约束,并改变家庭租房或成为受限或无约束业主的财富水平。本文的主要发现是初始条件很重要;当财富分配更平均时,受影响的家庭比例更大。这种对总需求的更大影响会导致房价更大幅度的下跌,以及受限业主比例和住房财富不平等的更大幅度上升。按揭成数的影响也是非线性的,按揭成数越低,影响越大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wealth inequality and the distributional effects of maximum loan-to-value ratio policy

Macroprudential policy improves economic outcomes by reducing the likelihood and severity of financial crises. Yet, are there unintended long run consequences to the introduction of a macroprudential policy regime, and are they conditional on the level of wealth inequality? I answer these questions by looking at the effect of a reduction in the maximum loan-to-value (LTV) ratio on homeownership rates, house prices and housing wealth inequality across two economies with different initial wealth dispersion. I use a heterogeneous agent model in which households face an endogenous borrowing limit in the form of a collateral constraint. A reduction in the LTV limit tightens the borrowing constraint and changes the levels of wealth at which households rent or become constrained or unconstrained owners. The key finding of this paper is that initial conditions matter; a greater share of households is affected when wealth is distributed more equally. This larger impact on aggregate demand leads to a stronger fall in house prices and a larger rise in the share of constrained homeowners and housing wealth inequality. The effects are also non-linear in the LTV ratio, with progressively stronger effects at lower LTV ratios.

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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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