Housing prices and macroprudential policies: Evidence from microdata

被引:0
|
作者
Singh, Bhupal [1 ,2 ]
机构
[1] Int Monetary Fund, Washington, DC USA
[2] Int Monetary Fund, 1900 Penn Ave NW, Washington, DC 20431 USA
关键词
Housing prices; Bank credit; Macroprudential policies; MONETARY-POLICY; REAL-ESTATE; CREDIT; BUSINESS; MARKET; MODEL; HOUSEHOLDS; CYCLES; SHOCKS; BUST;
D O I
10.1016/j.ecosys.2022.101008
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper examines the efficacy of macroprudential policies in addressing housing prices in a developing country like India, utilizing two novel databases on city-level house prices in India. Though the empirical models provide evidence of a sizable effect of the fundamental factors in influencing house price dynamics, they also reveal strong countercyclical properties of macroprudential tools i.e., loan-to-value (LTV) limit, risk weights, and provisioning requirements, in influencing housing price movements. Among the macroprudential policy tools, the LTV limit emerges as the most potent one in influencing the price dynamics. A granular investigation of the effectiveness of macroprudential tools suggests that the countercyclical effect of the regulatory ratios for large-sized mortgages is much stronger as compared with those for the small-sized mortgages, attributed mainly to investment motives associated with the large-sized loans. We also find the presence of asymmetry in the impact of loosening versus the tightening of the LTV limit, which can be attributed to the procyclical behavior of the house prices. (c) 2022 Elsevier B.V. All rights reserved.
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页数:21
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