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Smooth and timely business cycle indicators for noisy Swedish data

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  • Oller, Lars-Erik
  • Tallbom, Christer
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    File URL: http://www.sciencedirect.com/science/article/B6V92-3VV43BD-7/2/4ae7c2072cbf328dc49208871dede046
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    Bibliographic Info

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

    Volume (Year): 12 (1996)
    Issue (Month): 3 (September)
    Pages: 389-402

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    Handle: RePEc:eee:intfor:v:12:y:1996:i:3:p:389-402

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

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    1. Engle, Robert F, 1974. "Band Spectrum Regression," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 1-11, February.
    2. Howrey, E Philip, 1978. "The Use of Preliminary Data in Econometric Forecasting," The Review of Economics and Statistics, MIT Press, vol. 60(2), pages 193-200, May.
    3. Hendry, David F. & Richard, Jean-Francois, 1982. "On the formulation of empirical models in dynamic econometrics," Journal of Econometrics, Elsevier, vol. 20(1), pages 3-33, October.
    4. Brodsky, Noel & Newbold, Paul, 1994. "Late forecasts and early revisions of United States GNP," International Journal of Forecasting, Elsevier, vol. 10(3), pages 455-460, November.
    5. de Leeuw, Frank, 1990. "The Reliability of U.S. Gross National Product," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 191-203, April.
    6. Entorf, Horst, 1993. "Constructing leading indicators from non-balanced sectoral business survey series," International Journal of Forecasting, Elsevier, vol. 9(2), pages 211-225, August.
    7. Oller, Lars-Erik, 1990. "Forecasting the business cycle using survey data," International Journal of Forecasting, Elsevier, vol. 6(4), pages 453-461, December.
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    Cited by:
    1. Lemmens, Aurelie & Croux, Christophe & Dekimpe, Marnik G., 2005. "On the predictive content of production surveys: A pan-European study," International Journal of Forecasting, Elsevier, vol. 21(2), pages 363-375.
    2. Boriss Siliverstovs, 2010. "Assessing Predictive Content of the KOF Barometer in Real Time," KOF Working papers 10-249, KOF Swiss Economic Institute, ETH Zurich.
    3. Hansson, Jesper & Jansson, Per & Löf, Mårten, 2003. "Business Survey Data: Do They Help in Forecasting the Macro Economy?," Working Paper Series 151, Sveriges Riksbank (Central Bank of Sweden).
    4. 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.
    5. 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.
    6. Garcia-Ferrer, Antonio & Bujosa-Brun, Marcos, 2000. "Forecasting OECD industrial turning points using unobserved components models with business survey data," International Journal of Forecasting, Elsevier, vol. 16(2), pages 207-227.
    7. Ahmad Jafari-Samimi & Babak Shirazi & Hamed Fazlollahtabar, 2007. "A Comparison Between Time Series, Exponential Smoothing, and Neural Network Methods To Forecast GDPof Iran," Iranian Economic Review, Economics faculty of Tehran university, vol. 12(2), pages 19-35, spring.
    8. Hansson, Jesper & Jansson, Per & Lof, Marten, 2005. "Business survey data: Do they help in forecasting GDP growth?," International Journal of Forecasting, Elsevier, vol. 21(2), pages 377-389.
    9. Lemmens, Aurélie & Croux, Christophe & Dekimpe, Marnik G., 2008. "Measuring and testing Granger causality over the spectrum: An application to European production expectation surveys," International Journal of Forecasting, Elsevier, vol. 24(3), pages 414-431.
    10. Bergvall, Anders & Forsfält, Tomas & Hjelm, Göran & Nilsson, Jonny & Vartiainen, Juhana, 2007. "KIMOD 1.0 Documentation of NIER´s Dynamic Macroeconomic General Equilibrium Model of the Swedish Economy," Working Paper 100, National Institute of Economic Research.
    11. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2004. "Decomposing Granger Causality over the Spectrum," ERIM Report Series Research in Management ERS-2004-102-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    12. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2004. "On The Predictive Content Of Production Surveys: A Pan-European Study," ERIM Report Series Research in Management ERS-2004-017-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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