A Large Bayesian VAR of the U.S. Economy

B-Tier
Journal: International Journal of Central Banking
Year: 2025
Volume: 21
Issue: 2
Pages: 351-409

Authors (5)

Richard K. Crump (not in RePEc) Stefano Eusepi (not in RePEc) Domenico Giannone (Centre for Economic Policy Res...) Eric Qian (not in RePEc) Argia Sbordone (Federal Reserve Bank of New Yo...)

Score contribution per author:

0.402 = (α=2.01 / 5 authors) × 1.0x B-tier

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

Abstract

We model the U.S. macroeconomic and financial sectors using a formal and unified econometric model. Through shrinkage, our Bayesian VAR provides a flexible framework for modeling the dynamics of 31 variables, many of which are tracked by the Federal Reserve. We show how the model can be used for understanding key features of the data, constructing counterfactual scenarios, and evaluating the macroeconomic environment both retrospectively and prospectively. Considering its breadth and versatility for policy applications, our modeling approach gives a reliable, reduced-form alternative to structural models.

Technical Details

RePEc Handle
repec:ijc:ijcjou:y:2025:q:2:a:8
Journal Field
Macro
Author Count
5
Added to Database
2026-01-25