The effects of monetary policy on income and wealth inequality in the U.S. Exploring different channels

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Títol: The effects of monetary policy on income and wealth inequality in the U.S. Exploring different channels
Autors: Albert, Juan‐Francisco | Peñalver Benavent, Antonio | Pérez-Bernabeu, Alberto
Centre, Departament o Servei: Universidad de Alicante. Departamento de Fundamentos del Análisis Económico
Paraules clau: Monetary policy | Income and wealth inequality | BVAR | Proxy SVAR | High-frequency identification
Àrees de coneixement: Fundamentos del Análisis Económico
Data de publicació: de desembre-2020
Editor: Elsevier
Citació bibliogràfica: Structural Change and Economic Dynamics. 2020, 55: 88-106. https://doi.org/10.1016/j.strueco.2020.07.002
Resum: We assess the effects of monetary policy shocks on income and wealth inequality through direct inequality measures and by analyzing several transmission channels explored in recent literature. Furthermore, we analyze two additional channels: the Housing and the Fiscal channels. The methodology adopted is a Bayesian proxy SVAR using a high-frequency identification based on the external instruments approach. Our own policy shocks are constructed for this purpose. The results show that an expansionary monetary policy shock does not have a significant effect on income inequality due to the existence of opposite channels, whereas it increases wealth inequality mainly through the portfolio channel.
Patrocinadors: This research was supported by the FPU grant (FPU16/03957) from the Ministerio de Ciencia e Innovación/Universidades (Spain) to the first author of this research. This work is also partially funded by the Ministerio de Economia y Cometitividad (Spain) with the project TIN2016-80565-R : Design and development of high performance algorithms for finding the best econometric model and its application to health science problems.
URI: http://hdl.handle.net/10045/112010
ISSN: 0954-349X (Print) | 1873-6017 (Online)
DOI: 10.1016/j.strueco.2020.07.002
Idioma: eng
Tipus: info:eu-repo/semantics/article
Drets: © 2020 Elsevier B.V.
Revisió científica: si
Versió de l'editor: https://doi.org/10.1016/j.strueco.2020.07.002
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