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Are apparent findings of nonlinearity due to structural instability in economic time series?

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Author Info
Gary Koop
Simon M. Potter

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Abstract

Many modeling issues and policy debates in macroeconomics depend on whether macroeconomic times series are best characterized as linear or nonlinear. If departures from linearity exist, it is important to know whether these are endogenously generated (as in, for example, a threshold autoregressive model) or whether they merely reflect changing structure over time. We advocate a Bayesian approach and show how such an approach can be implemented in practice. An empirical exercise involving several macroeconomic time series shows that apparent findings of threshold-type nonlinearities could be due to structural instability.

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Paper provided by Federal Reserve Bank of New York in its series Staff Reports with number 59.

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Date of creation: 1999
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Handle: RePEc:fip:fednsr:59

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Keywords: Time-series analysis;

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  1. Aaron Smallwood, 2004. "Joint Tests for Long Memory and Non-linearity: The Case of Purchasing Power Parity," Computing in Economics and Finance 2004 23, Society for Computational Economics. [Downloadable!]
  2. Alfred A. Haug & Pierre L. Siklos, 2002. "The Term Spread International Evidence of Non-Linear Adjustment," Working Papers 2002_08, York University, Department of Economics, revised Jul 2004. [Downloadable!]
  3. Anthony Garratt & Gary Koop & Shaun P. Vahey, 2006. "Forecasting Substantial Data Revisions in the Presence of Model Uncertainty," Birkbeck Working Papers in Economics and Finance 0617, Birkbeck, School of Economics, Mathematics & Statistics. [Downloadable!]
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  4. KIANI, Khurshid M., 2007. "Business Cycle Asymmetries In Stock Returns: Robust Evidence," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 4(2), pages 99-120. [Downloadable!]
  5. M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2004. "Forecasting Time Series Subject to Multiple Structural Breaks," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
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  6. Gary Koop & Simon Potter, 2007. "A flexible approach to parametric inference in nonlinear time series models," Staff Reports 285, Federal Reserve Bank of New York. [Downloadable!]
  7. 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!]
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  8. Gary Koop & Herman K. van Dijk, 1999. "Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach," Tinbergen Institute Discussion Papers 99-072/4, Tinbergen Institute. [Downloadable!]
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  9. Gary M. Koop & Simon M. Potter, 2004. "Prior elicitation in multiple change-point models," Staff Reports 197, Federal Reserve Bank of New York. [Downloadable!]
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  10. John M Maheu & Stephen Gordon, 2007. "Learning, Forecasting and Structural Breaks," Working Papers tecipa-284, University of Toronto, Department of Economics. [Downloadable!]
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  11. Michael G. Arghyrou & Andros Gregoriou & Alexandros Kontonikas, 2007. "Do real interest rates converge? Evidence from the European Union," Working Papers 2007_21, Department of Economics, University of Glasgow. [Downloadable!]
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  12. Gary M. Koop & Simon M. Potter, 2004. "Forecasting and estimating multiple change-point models with an unknown number of change points," Staff Reports 196, Federal Reserve Bank of New York. [Downloadable!]
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