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A Macroeconomic Model of Price Swings in the Housing Market

机译:房地产市场价格波动宏观经济模型

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摘要

This paper shows that a macro model with segmented financial markets can generate sizable movements in housing prices in response to changes in credit conditions. We establish - theoretically that reductions in mortgage rates always have a positive effect on prices, whereas the relaxation of loan-to-value constraints has ambiguous effects. A quantitative version of the model under perfect foresight accounts for about one-half of the observed price increase in the United States in the 2000s. When we include shocks to expectations about housing finance conditions, the model's ability to match house values improves significantly. The framework reconciles the observed disconnect between house prices and rents since, in general equilibrium, financial shocks can decrease rents and increase prices. (JEL E44, G21, R31)
机译:本文表明,具有分段金融市场的宏观模型可以根据信贷条件的变化,在房价中产生相当大的运动。我们建立 - 理论上,抵押贷款率的减少总是对价格产生积极影响,而贷款对价约束的放松具有含糊不清的效果。完美远见下的模型的量化版本占美国2000年代观察价格上涨的一半。当我们包括对住房资助条件的预期震动时,模型匹配房价的能力显着提高。该框架与观察到的票据与房价与租金之间的断开进行了解,因为一般均衡,金融冲击可以减少租金并提高价格。 (JEL E44,G21,R31)

著录项

  • 来源
    《The American economic review》 |2019年第6期|2036-2072|共37页
  • 作者单位

    Fed Reserve Bank St Louis Res Div POB 442 St Louis MO 63166 USA;

    Washington Univ Dept Econ Campus Box 1208 One Brookings Dr St Louis MO 63130 USA|Fed Reserve Bank St Louis St Louis MO USA;

    Int Monetary Fund Fiscal Affairs Dept 1900 Penn Ave NW Washington DC 20431 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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