Arbeitspapier

A large Bayesian VAR of the United States Economy

We model the United States 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 thirty-one 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.

Sprache
Englisch

Erschienen in
Series: Staff Report ; No. 976

Klassifikation
Wirtschaft
Bayesian Analysis: General
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Forecasting Models; Simulation Methods
Quantitative Policy Modeling
Business Fluctuations; Cycles
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Thema
bayesian vector autoregressions
conditional forecasts
scenario analyses
financial conditions index

Ereignis
Geistige Schöpfung
(wer)
Crump, Richard K.
Eusepi, Stefano
Giannone, Domenico
Qian, Eric
Sbordone, Argia M.
Ereignis
Veröffentlichung
(wer)
Federal Reserve Bank of New York
(wo)
New York, NY
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Crump, Richard K.
  • Eusepi, Stefano
  • Giannone, Domenico
  • Qian, Eric
  • Sbordone, Argia M.
  • Federal Reserve Bank of New York

Entstanden

  • 2021

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