Arbeitspapier

What predicts U.S. recessions?

We reassess the predictability of U.S. recessions at horizons from three months to two years ahead for a large number of previously proposed leading-indicator variables. We employ an efficient probit estimator for partially missing data and assess relative model performance based on the receiver operating characteristic (ROC) curve. While the Treasury term spread has the highest predictive power at horizons four to six quarters ahead, adding lagged observations of the term spread significantly improves the predictability of recessions at shorter horizons. Moreover, balances in broker-dealer margin accounts significantly improve the precision of recession predictions, especially at horizons further out than one year.

Sprache
Englisch

Erschienen in
Series: Staff Report ; No. 691

Klassifikation
Wirtschaft
Model Evaluation, Validation, and Selection
Forecasting Models; Simulation Methods
Business Fluctuations; Cycles
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Thema
recession predictability
ROC
term spread
leading indicators
efficient probit estimator

Ereignis
Geistige Schöpfung
(wer)
Liu, Weiling
Moench, Emanuel
Ereignis
Veröffentlichung
(wer)
Federal Reserve Bank of New York
(wo)
New York, NY
(wann)
2014

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Liu, Weiling
  • Moench, Emanuel
  • Federal Reserve Bank of New York

Entstanden

  • 2014

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