Prior Elicitation In Multiple Change-Point Models
Abstract
This article discusses Bayesian inference in change-point models. The main existing approaches treat all change-points equally, a priori, using either a Uniform prior or an informative hierarchical prior. Both approaches assume a known number of change-points. Some undesirable properties of these approaches are discussed. We develop a new Uniform prior that allows some of the change-points to occur out of sample. This prior has desirable properties, can be interpreted as "noninformative," and treats the number of change-points as unknown. Artificial and real data exercises show how these different priors can have a substantial impact on estimation and prediction. Copyright � (2009) by the Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.Download Info
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Bibliographic Info
Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.
Volume (Year): 50 (2009)
Issue (Month): 3 (08)
Pages: 751-772
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Related research
Keywords:Other versions of this item:
- Gary Koop & Simon M. Potter, 2004. "Prior Elicitation in Multiple Change-point Models," Discussion Papers in Economics 04/26, Department of Economics, University of Leicester.
- Gary Koop & Simon M. Potter, 2007. "Prior Elicitation in Multiple Change-point Models," Working Paper Series 17-07, The Rimini Centre for Economic Analysis, revised Jul 2007.
- Gary M. Koop & Simon M. Potter, 2004. "Prior elicitation in multiple change-point models," Staff Reports 197, Federal Reserve Bank of New York.
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Pesaran, M.H. & Pettenuzzo, D. & Timmermann, A., 2006.
"Learning, Structural Instability and Present Value Calculations,"
Cambridge Working Papers in Economics
0602, Faculty of Economics, University of Cambridge.
- Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2007. "Learning, Structural Instability, and Present Value Calculations," Econometric Reviews, Taylor and Francis Journals, vol. 26(2-4), pages 253-288.
- M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Learning, structural instability and present value calculations," Computing in Economics and Finance 2006 529, Society for Computational Economics.
- Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Learning, Structural Instability and Present Value Calculations," IEPR Working Papers 06.42, Institute of Economic Policy Research (IEPR).
- M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Learning, Structural Instability and Present Value Calculations," CESifo Working Paper Series 1650, CESifo Group Munich.
- Pesaran, Mohammad Hashem & Pettenuzzo, Davide & Timmermann, Allan, 2006. "Learning, structural instability and present value calculations," Discussion Paper Series 1: Economic Studies 2006,27, Deutsche Bundesbank, Research Centre.
- Gary Koop & Markus Jochmann & Rodney W. Strachan, 2008.
"Bayesian Forecasting using Stochastic Search Variable Selection in a VAR Subject to Breaks,"
Working Paper Series
19-08, The Rimini Centre for Economic Analysis, revised Jan 2008.
- Jochmann, Markus & Koop, Gary & Strachan, Rodney W., 2010. "Bayesian forecasting using stochastic search variable selection in a VAR subject to breaks," International Journal of Forecasting, Elsevier, vol. 26(2), pages 326-347, April.
- Chun Liu & John M Maheu, 2007.
"Are there Structural Breaks in Realized Volatility?,"
Working Papers
tecipa-304, University of Toronto, Department of Economics.
- Chun Liu & John M. Maheu, 2008. "Are There Structural Breaks in Realized Volatility?," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 6(3), pages 326-360, Summer.
- Giordani, Paolo & Villani, Mattias, 2009.
"Forecasting Macroeconomic Time Series With Locally Adaptive Signal Extraction,"
Working Paper Series
234, Sveriges Riksbank (Central Bank of Sweden).
- Giordani, Paolo & Villani, Mattias, 2010. "Forecasting macroeconomic time series with locally adaptive signal extraction," International Journal of Forecasting, Elsevier, vol. 26(2), pages 312-325, April.
- Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006.
"Econometrics: A Bird's Eye View,"
IZA Discussion Papers
2458, Institute for the Study of Labor (IZA).
- Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
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- Gary M. Koop & Simon M. Potter, 2004.
"Forecasting and Estimating Multiple Change-point Models with an Unknown Number of Change-points,"
Discussion Papers in Economics
04/31, Department of Economics, University of Leicester.
- 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.
- Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2008. "On the Evolution of Monetary Policy," Working Paper Series 24-08, The Rimini Centre for Economic Analysis, revised Jan 2008.
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