EconPapers    
Economics at your fingertips  
 

A Large Bayesian VAR of the U.S. Economy

Richard Crump, Stefano Eusepi, Domenico Giannone, Eric Qian and Argia Sbordone
Additional contact information
Stefano Eusepi: Brown University
Eric Qian: Princeton University
Argia Sbordone: Federal Reserve Bank of New York

International Journal of Central Banking, 2025, vol. 21, issue 2, 351-409

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.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.ijcb.org/journal/ijcb25q2a8.pdf (application/pdf)

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:ijc:ijcjou:y:2025:q:2:a:8

Access Statistics for this article

International Journal of Central Banking is currently edited by Loretta J. Mester

More articles in International Journal of Central Banking from International Journal of Central Banking
Bibliographic data for series maintained by Bank for International Settlements ().

 
Page updated 2025-04-20
Handle: RePEc:ijc:ijcjou:y:2025:q:2:a:8