Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy

Niko Hauzenberger and Michael Pfarrhofer

Papers from arXiv.org

Abstract: Understanding disaggregate channels in the transmission of monetary policy is of crucial importance for effectively implementing policy measures. We extend the empirical econometric literature on the role of production networks in the propagation of shocks along two dimensions. First, we allow for industry-specific responses that vary over time, reflecting non-linearities and cross-sectional heterogeneities in direct transmission channels. Second, we allow for time-varying network structures and dependence. This feature captures both variation in the structure of the production network, but also differences in cross-industry demand elasticities. We find that impacts vary substantially over time and the cross-section. Higher-order effects appear to be particularly important in periods of economic and financial uncertainty, often coinciding with tight credit market conditions and financial stress. Differentials in industry-specific responses can be explained by how close the respective industries are to end-consumers.

Date: 2019-11, Revised 2020-09
New Economics Papers: this item is included in nep-cba and nep-mac
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Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Bayesian State‐Space Modeling for Analyzing Heterogeneous Network Effects of US Monetary Policy (2021)
Working Paper: Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1911.06206

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