The impact of monetary policy shocks on net worth and consumption across races in the United States
Juan-Francisco Albert and
Nerea Gómez-Fernández
Economic Systems, 2024, vol. 48, issue 1
Abstract:
The aim of this paper is to determine whether monetary policy has a heterogeneous impact on net worth and consumption across races in the United States by applying several empirical methodologies and combining macro and micro data. The results suggest that an expansionary monetary shock increases the race gap in the short run in terms of net worth and that this is explained by differences in portfolio composition, especially between black and white households. Consequently, the heterogeneous wealth effect among these racial groups means that white households retain a higher elasticity than some minorities with respect to different forms of consumption as a consequence of a monetary policy shock. Although the heterogeneous effects of monetary policy across race are primarily explained by the different observable characteristics of households, a non-negligible part of this heterogeneity could be explained by the credit constraints faced by racial minorities that determine the composition of their wealth.
Keywords: Monetary policy; Racial inequality; Net worth; Consumption (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0939362523001176
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:ecosys:v:48:y:2024:i:1:s0939362523001176
DOI: 10.1016/j.ecosys.2023.101178
Access Statistics for this article
Economic Systems is currently edited by R. Frensch
More articles in Economic Systems from Elsevier Contact information at EDIRC.
Bibliographic data for series maintained by Catherine Liu ().