Bayesian State‐Space Modeling for Analyzing Heterogeneous Network Effects of US Monetary Policy

B-Tier
Journal: Scandanavian Journal of Economics
Year: 2021
Volume: 123
Issue: 4
Pages: 1261-1291

Authors (2)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We extend the econometric literature on the role of production networks in the propagation of monetary policy shocks along two dimensions. First, we allow for time‐varying industry‐specific responses, reflecting non‐linearities and heterogeneity in direct transmission channels. Second, we allow for time‐varying network structures and dependence. This captures both variation in the structure of the production network and differences in cross‐industry demand elasticities. Spillover effects among industries appear to be important in periods of elevated economic and financial uncertainty, often coinciding with tight credit market conditions and financial stress. Cross‐sectional differentials can be explained by how close industries are to end‐consumers.

Technical Details

RePEc Handle
repec:bla:scandj:v:123:y:2021:i:4:p:1261-1291
Journal Field
General
Author Count
2
Added to Database
2026-01-29