Examining the effectiveness of macroprudential policy in India
Sanjiv Kumar,
K.P. Prabheesh and
Omar Bashar
Economic Analysis and Policy, 2022, vol. 75, issue C, 91-113
Abstract:
This study empirically examines the effectiveness of macroprudential policy (MaPP) on bank credit, housing credit, and housing prices in the Indian context. The study uses structural vector autoregression (SVAR) during 2004M04–2020M03 and reveals that MaPP effectively limits bank credit, housing credit, and housing price appreciations. Furthermore, the study provides evidence of the asymmetric effect of MaPP, implying that MaPP tightening considerably affects bank credit and housing prices, whereas MaPP loosening considerably affects housing credit. Finally, our analysis indicates that MaPP effectively limits housing prices across cities in India.
Keywords: Credit; Housing prices; Macroprudential policy; Structural vector autoregression (search for similar items in EconPapers)
JEL-codes: E32 F41 G15 G28 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0313592622000637
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:75:y:2022:i:c:p:91-113
DOI: 10.1016/j.eap.2022.04.011
Access Statistics for this article
Economic Analysis and Policy is currently edited by Clevo Wilson
More articles in Economic Analysis and Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().