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Forecasting Recessions: Can We Do Better on MARS
16 references·2 citing·39 second hop
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this work references cited by second hop

References

  • 1998Unit-Root Tests and Asymmetric Adjustment With an Example Using the Term Structure of Interest Rates1,203 cited
  • 1998Predicting U.S. Recessions: Financial Variables as Leading Indicators1,180 cited
  • 1998Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates380 cited
  • 1995Predicting U.S. Recessions: Financial Variables as Leading Indicators366 cited
  • 2007Is the Price Level Tied to the M2 Monetary Aggregate in the Long Run362 cited
  • 1994Modelling nonlinear economic relationships296 cited
  • 1998Does the term structure predict recessions? The international evidence264 cited
  • 1996Predicting Real Growth Using the Yield Curve206 cited
  • 1997Strengthening the Case for the Yield Curve as a Predictor of U.S. Recessions194 cited
  • 1999Nonlinear Predictability of Stock Returns Using Financial and Economic Variables175 cited
  • 1998Indicator Properties of the Paper—Bill Spread: Lessons from Recent Experience150 cited
  • 1995Modelling Nonlinear Relationships between Extended-Memory Variables145 cited
  • 1998Beyond shocks: what causes business cycles?107 cited
  • 1999Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS99 cited
  • 2000

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P∗ revisited: money-based inflation forecasts with a changing equilibrium velocity
86 cited
  • 2005Does the Term Structure Predict Recessions? The International Evidence83 cited
  • Cited by

    • 2015Forecasting Daily and Monthly Exchange Rates with Machine Learning Techniques72 cited
    • 2017Determining Influencing Factors of Currency Exchange Rate for Decision Making in Global Economy Using MARS Method33 cited