PREDICTING THE PROBABILITY OF A RECESSION WITH NONLINEAR AUTOREGRESSIVE LEADING-INDICATOR MODELS

We develop nonlinear leading-indicator models for GDP growth, with the interest-rate spread and growth in M2 as leading indicators. Since policy makers typically are interested in whether a recession is imminent, we evaluate these models according to their ability to predict the probability of a recession. Using data for the United States, we find that conditional on the spread, the marginal contribution of M2 growth in predicting recessions is negligible.

[1]  Ruey S. Tsay,et al.  Testing and Modeling Threshold Autoregressive Processes , 1989 .

[2]  A. Zellner,et al.  Forecasting turning points in international output growth rates using Bayesian exponentially weighted autoregression, time-varying parameter, and pooling techniques , 1991 .

[3]  Timo Teräsvirta,et al.  Testing linearity against smooth transition autoregressive models , 1988 .

[4]  Kenneth N. Kuttner,et al.  Indicator Properties of the PaperBill Spread: Lessons from Recent Experience , 1998, Review of Economics and Statistics.

[5]  J. B. Ramsey,et al.  Tests for Specification Errors in Classical Linear Least‐Squares Regression Analysis , 1969 .

[6]  James D. Hamilton,et al.  What Do the Leading Indicators Lead , 1996 .

[7]  Michael P. Clements,et al.  A Comparison of the Forecast Performance of Markov�?Switching and Threshold Autoregressive Models of Us Gnp , 1998 .

[8]  M. Hashem Pesaran,et al.  Impulse response analysis in nonlinear multivariate models , 1996 .

[9]  Modeling Nonlinearity of Business Cycles: Choosing Between the CDR and STAR Models , 1999, Review of Economics and Statistics.

[10]  Arnold Zellner,et al.  Forecasting turning points in countries' output growth rates: A response to Milton Friedman , 1999 .

[11]  T. Teräsvirta.  Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models , 1994 .

[12]  Marcelle Chauvet,et al.  An Econometric Characterization of Business Cycle Dynamics with Factor Structure and Regime Switching , 1998 .

[13]  J. Stock,et al.  A Procedure for Predicting Recessions with Leading Indicators: Econometric Issues and Recent Experience , 1992 .

[14]  Gary Koop,et al.  Do recessions permanently change output , 1993 .

[15]  Simon M. Potter.  A Nonlinear Approach to U.S. GNP , 1993 .

[16]  Heather M. Anderson,et al.  Transaction Costs and Nonlinear Adjustment Towards Equilibrium in the US Treasury Bill Market , 1997 .

[17]  Timo Teräsvirta,et al.  Testing the adequacy of smooth transition autoregressive models , 1996 .

[18]  R. Fair.  Estimating Event Probabilities from Macroeconomic Models Using Stochastic Simulation , 1991 .

[19]  Salih N. Neftiçi.  Optimal prediction of cyclical downturns , 1982 .

[20]  C. Granger,et al.  Modelling Nonlinear Economic Relationships , 1995 .

[21]  Michael P. Clements,et al.  The Performance of Alternative Forecasting Methods for SETAR Models , 1997 .

[22]  T. Teräsvirta,et al.  Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models , 1992 .

[23]  C. Sims,et al.  Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered , 1980 .

[24]  A. Zellner,et al.  Forecasting international growth rates using Bayesian shrinkage and other procedures , 1989 .

[25]  Martin Sola,et al.  Business cycle dynamics: predicting transitions with macrovariables , 1999 .

[26]  G. Brier.  VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY , 1950 .

[27]  Chris Birchenhall,et al.  Predicting U.S. Business-Cycle Regimes , 1999 .

[28]  G. C. Tiao,et al.  Some advances in non‐linear and adaptive modelling in time‐series , 1994 .

[29]  Frederic S. Mishkin,et al.  Predicting U.S. Recessions: Financial Variables as Leading Indicators , 1995, Review of Economics and Statistics.

[30]  Arthur F. Burns,et al.  Statistical Indicators Of Cyclical Revivals , 1938 .

[31]  C. Sims.  A nine variable probabilistic macroeconomic forecasting model , 1993 .

[32]  Timo Teräsvirta,et al.  Another look at Swedish business cycles, 1861–1988 , 1999 .

[33]  W. Choi.  Asymmetric Monetary Effects on Interest Rates across Monetary Policy Stances , 1999 .

[34]  James D. Hamilton.  A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , 1989 .

[35]  Charles L. Weise.  The asymmetric effects of monetary policy: a nonlinear vector , 1999 .

[36]  G. C. Tiao,et al.  Journal of the American Statistical Association Forecasting the U.s. Unemployment Rate Forecasting the U.s. Unemployment Rate , 2022 .

[37]  Francis X. Diebold,et al.  Scoring the Leading Indicators , 2020, Business Cycles.