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Predicting the Probability of a Recession with Nonlinear Autoregressive Leading Indicator Models

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Author Info
Anderson, H.M.
Vahid, F.

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Abstract

We develop nonlinear leading indicator models for GDP growth, with the interest rate spread and growth in M2 as leading indicators. Since policy makers are typically interested in whether or not 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.

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File URL: http://www.buseco.monash.edu.au/depts/ebs/pubs/wpapers/2000/wp3-00.pdf
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Publisher Info
Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number 3/2000.

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Length: 29 pages
Date of creation: Mar 2000
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Handle: RePEc:msh:ebswps:2000-3

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Related research
Keywords: Event probabilities; Leading Indicators; Nonlinear Models;

Other versions of this item:

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation

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  1. Nektarios Aslanidis & Andrea Cipollini, 2007. "Leading indicator properties of the US corporate spreads," Money Macro and Finance (MMF) Research Group Conference 2006 115, Money Macro and Finance Research Group. [Downloadable!]
  2. Clements, Michael P & Harvey, David I, 2006. "Forecast Encompassing Tests and Probability Forecasts," The Warwick Economics Research Paper Series (TWERPS) 774, University of Warwick, Department of Economics. [Downloadable!]
  3. D R Osborn & P J Perez & M Sensier, 2005. "Business Cycle Linkages for the G7 Countries:Does the US Lead the World?," Centre for Growth and Business Cycle Research Discussion Paper Series 50, Economics, The Univeristy of Manchester. [Downloadable!]
    Other versions:
  4. W.A. Bruinshoofd & B. Candelon, 2004. "Nonlinear monetary policy in europe: fact or myth?," WO Research Memoranda (discontinued) 758, Netherlands Central Bank, Research Department. [Downloadable!]
    Other versions:
  5. Heather M. Anderson & George Athanasopoulos & Farshid Vahid, 2002. "Nonlinear Autoregresssive Leading Indicator Models of Output in G-7 Countries," Monash Econometrics and Business Statistics Working Papers 20/02, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
    Other versions:
  6. Galvão, Ana Beatriz C., 2003. "Structural Break Threshold VARs for Predicting US Recessions using the Spread," Ibmec Working Papers wpe_37, Ibmec Working Paper, Ibmec São Paulo. [Downloadable!]
    Other versions:
  7. Ivan Paya & Agustín Duarte & Ioannis A. Venetis, 2004. "Predicting Real Growth And The Probability Of Recession In The Euro Area Using The Yield Spread," Working Papers. Serie AD 2004-31, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie). [Downloadable!]
    Other versions:
  8. Ralf Becker & Denise Osborn, 2007. "Weighted smooth transition regressions," The School of Economics Discussion Paper Series 0724, Economics, The University of Manchester. [Downloadable!]
  9. M Sensier & D R Osborn & N Öcal, 2002. "Asymmetric Interest Rate Effects for the UK Real Economy," Centre for Growth and Business Cycle Research Discussion Paper Series 10, Economics, The Univeristy of Manchester. [Downloadable!]
    Other versions:
  10. Heather M. Anderson, 2002. "Choosing Lag Lengths in Nonlinear Dynamic Models," Monash Econometrics and Business Statistics Working Papers 21/02, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
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