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Forecasting OECD industrial turning points using unobserved components models with business survey data

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  • Garcia-Ferrer, Antonio
  • Bujosa-Brun, Marcos

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Bibliographic Info

Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 16 (2000)
Issue (Month): 2 ()
Pages: 207-227

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Handle: RePEc:eee:intfor:v:16:y:2000:i:2:p:207-227

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Web page: http://www.elsevier.com/locate/ijforecast

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References

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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  1. García-Ferrer Antonio & Queralt Ricardo A., 1998. "Using Long-, Medium-, and Short-Term Trends to Forecast Turning Points in the Business Cycle: Some International Evidence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(2), pages 1-29, July.
  2. Canova, Fabio, 1994. "Detrending and turning points," European Economic Review, Elsevier, vol. 38(3-4), pages 614-623, April.
  3. Zellner, Arnold & Hong, Chansik & Min, Chung-ki, 1991. "Forecasting turning points in international output growth rates using Bayesian exponentially weighted autoregression, time-varying parameter, and pooling techniques," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 275-304.
  4. Eduardo Morales & Antoni Espasa & María Luisa Rojo, 1992. "Univariate methods for the analysis of the industrial sector in Spain," Investigaciones Economicas, Fundación SEPI, vol. 16(1), pages 127-149, January.
  5. Fildes, Robert, 1992. "The evaluation of extrapolative forecasting methods," International Journal of Forecasting, Elsevier, vol. 8(1), pages 81-98, June.
  6. Garcia-Ferrer, Antonio & Queralt, Ricardo A., 1998. "Can univariate models forecast turning points in seasonal economic time series?," International Journal of Forecasting, Elsevier, vol. 14(4), pages 433-446, December.
  7. Andrews, Rick L, 1994. "Forecasting Performance of Structural Time Series Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(1), pages 129-33, January.
  8. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
  9. Hanssens, Dominique M & Vanden Abeele, Pierre M, 1987. "A Time-Series Study of the Formation and Predictive Performance of EEC Production Survey Expectations," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 507-19, October.
  10. Oller, Lars-Erik & Tallbom, Christer, 1996. "Smooth and timely business cycle indicators for noisy Swedish data," International Journal of Forecasting, Elsevier, vol. 12(3), pages 389-402, September.
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Cited by:
  1. Antonis A Michis, 2011. "Denoised least squars forecasting of GDP changes using indexes of consumer and business sentiment," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 383-392 Bank for International Settlements.
  2. Bruno, Giancarlo, 2009. "Non-linear relation between industrial production and business surveys data," MPRA Paper 42337, University Library of Munich, Germany.
  3. Javier J. Pérez & Jesús Rodríguez López & Teresa Leal, 2002. "Pautas cíclicas de la economía andaluza en el período 1984-2001: un análisis comparado," Economic Working Papers at Centro de Estudios Andaluces E2002/18, Centro de Estudios Andaluces.
  4. Giancarlo Bruno & Edoardo Otranto, 2003. "Dating the Italian Business Cycle: A Comparison of Procedures," Econometrics 0312003, EconWPA.
  5. Javier J. Pérez & Jesús Rodríguez López & Carlos Usabiaga, 2002. "Análisis Dinámico de la Relación entre Ciclo Económico y Ciclo del Desempleo en Andalucía en Comparación con el Resto de España," Economic Working Papers at Centro de Estudios Andaluces E2002/07, Centro de Estudios Andaluces.
  6. Bujosa, Marcos & Garcia-Ferrer, Antonio & Young, Peter C., 2007. "Linear dynamic harmonic regression," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 999-1024, October.
  7. Bengoechea, Pilar & Camacho, Maximo & Perez-Quiros, Gabriel, 2006. "A useful tool for forecasting the Euro-area business cycle phases," International Journal of Forecasting, Elsevier, vol. 22(4), pages 735-749.
  8. Marcos Bujosa & Antonio García Ferrer & Peter Young, 2002. "An ARMA Representation of Unobserved Component Models under Generalized Random Walk Specifications: New Algorithms and Examples," Documentos del Instituto Complutense de Análisis Económico 0204, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.
  9. de Bondt, Gabe & Dieden, Heinz Christian & Muzikarova, Sona & Vincze, Istvan, 2013. "Introducing the ECB indicator on euro area industrial new orders," Occasional Paper Series 149, European Central Bank.
  10. Antonis A. Michis, 2010. "Denoised Least Squares Forecasting of GDP Changes Using Indexes of Consumer and Business Sentiment," Working Papers 2010-9, Central Bank of Cyprus.
  11. Bruno Giancarlo & Lupi Claudio, 2003. "Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data," ISAE Working Papers 33, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
  12. Bruno, Giancarlo & Otranto, Edoardo, 2008. "Models to date the business cycle: The Italian case," Economic Modelling, Elsevier, vol. 25(5), pages 899-911, September.

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