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Modeling Nonlinearity over the Business Cycle

In: Business Cycles, Indicators and Forecasting

Author Info

Listed author(s):
  • Clive W. Granger
  • Timo Terasvirta
  • Heather M. Anderson

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This chapter was published in:
  • James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1, June.
    • This item is provided by National Bureau of Economic Research, Inc in its series NBER Chapters with number 7196.
    Handle: RePEc:nbr:nberch:7196
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    National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.

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    1. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    2. Lee, Tae-Hwy & White, Halbert & Granger, Clive W. J., 1993. "Testing for neglected nonlinearity in time series models : A comparison of neural network methods and alternative tests," Journal of Econometrics, Elsevier, vol. 56(3), pages 269-290, April.
    3. Granger, C. W. J. & Newbold, Paul, 1986. "Forecasting Economic Time Series," Elsevier Monographs, Elsevier, edition 2, number 9780122951831 edited by Shell, Karl.
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    Cited by:

    1. Apergis, Nicholas, 2015. "Financial portfolio choice: Do business cycle regimes matter? Panel evidence from international household surveys," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 14-27.
    2. Luis Eduardo Arango & Luis Fernando Melo, 2001. "Expansions and Contractions in Some Latin American Countries: A view Throught Non-Linear Models," Borradores de Economia 186, Banco de la Republica de Colombia.
    3. Luis Arango & Andres Gonzalez, 2001. "Some evidence of smooth transition nonlinearity in Colombian inflation," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 155-162.
    4. Camacho, Maximo & Pérez Quirós, Gabriel, 2000. "This is what the US leading indicators lead," Working Paper Series 0027, European Central Bank.
    5. Nath, Hiranya K., 2016. "A note on the cyclical behavior of sectoral employment in the U.S," Economic Analysis and Policy, Elsevier, vol. 50(C), pages 52-61.
    6. Donayre, Luiggi & Panovska, Irina, 2016. "State-dependent exchange rate pass-through behavior," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 170-195.
    7. Luis Eduardo Arango Thomas, 1998. "Some univariate time series properties of output," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 49, pages 7-46, Julio Dic.
    8. Maximo Camacho & Gabriel Perez-Quiros, 2002. "This is what the leading indicators lead," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(1), pages 61-80.
    9. Luis Eduardo Arango & Fernando Arias & Luz Adriana Flórez, 2008. "Trends, Fluctuations, and Determinants of Commodity Prices," BORRADORES DE ECONOMIA 004734, BANCO DE LA REPÚBLICA.
    10. Blake LeBaron, 1994. "Chaos and Nonlinear Forecastability in Economics and Finance," Finance 9411001, EconWPA.
    11. Huh, Hyeon-seung, 2002. "GDP growth and the composite leading index: a nonlinear causality analysis for eleven countries," Economics Letters, Elsevier, vol. 77(1), pages 93-99, September.
    12. Granger, Clive W. J. & Jeon, Yongil, 2003. "A time-distance criterion for evaluating forecasting models," International Journal of Forecasting, Elsevier, vol. 19(2), pages 199-215.
    13. James H. Stock & Mark W. Watson, 1998. "A Comparison of Linear and Nonlinear Univariate Models for Forecasting Macroeconomic Time Series," NBER Working Papers 6607, National Bureau of Economic Research, Inc.

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