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Individual Responses to Business Tendency Surveys and the Forecasting of Manufacturing Production

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  • Olivier Biau

    (INSEE)

  • Hélène Erkel-Rousse

    (INSEE)

  • Nicolas Ferrari

    (INSEE)

Abstract

We compare the performances of balances of opinion to those of indicators introduced by Mitchell, Smith and Weale for the one-quarter forecasting of the manufacturing production growth rate. These indicators take into account the heterogeneity of the response behaviours of the entrepreneurs taking part in the Business Tendency Survey. The responses which are the most tightly linked to the overall fluctuations of manufactured production contribute to the variability of these indicators to a larger extent than the responses of the other surveyed. The application of Mitchell, Smith and Weale to British and German data seems to suggest that these indicators perform better in short-term forecasting than the balances of opinion, but their application to Swedish and Portuguese data suggests not. In our study carried out using French data, their predictive performances turn out to be inferior or, at best, equivalent to those of the balances of opinion.

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Bibliographic Info

Article provided by Institut National de la Statistique et des Etudes Economiques in its journal Economie et Statistique.

Volume (Year): 395-396 (2007)
Issue (Month): (January)
Pages: 91-116

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Handle: RePEc:crs:ecosta:es395-396e

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Keywords: Business Tendency Surveys; Quantification; Dis-Aggregate Indicators; Short-Term Forecasting;

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  1. Fishe, Raymond P. H. & Lahiri, Kajal, 1981. "On the estimation of inflationary expectations from qualitative responses," Journal of Econometrics, Elsevier, vol. 16(1), pages 89-102, May.
  2. Carlson, John A & Parkin, J Michael, 1975. "Inflation Expectations," Economica, London School of Economics and Political Science, vol. 42(166), pages 123-38, May.
  3. Kaiser, Ulrich & Spitz, Alexandra, 2000. "Quantification of qualitative data using ordered probit models with an application to a business survey in the German service sector," ZEW Discussion Papers 00-58, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  4. Stéphane Grégoir & Fabrice Lenglart, 1998. "Measuring the Probability of a Business Cycle Turning Point by Using a Multivariate Qualitative Hidden Markov Model," Working Papers 98-48, Centre de Recherche en Economie et Statistique.
  5. Smith, Jeremy & McAleer, Michael, 1995. "Alternative Procedures for Converting Qualitative Response Data to Quantitative Expectations: An Application to Australian Manufacturing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 165-85, April-Jun.
  6. Ashley, Richard, 2003. "Statistically significant forecasting improvements: how much out-of-sample data is likely necessary?," International Journal of Forecasting, Elsevier, vol. 19(2), pages 229-239.
  7. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
  8. Jan Marc Berk, 1999. "Measuring inflation expectations: a survey data approach," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1467-1480.
  9. Ciaran Driver & Giovanni Urga, 2004. "Transforming Qualitative Survey Data: Performance Comparisons for the UK," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 71-89, 02.
  10. Doz, C. & Lenglart, F., 1998. "Analyse factorielle dynamique: test du nombre de facteurs, estimation, et application a l'enquete de conjoncture dans l'industrie," Papers 9831, Paris X - Nanterre, U.F.R. de Sc. Ec. Gest. Maths Infor..
  11. Balcombe, Kelvin, 1996. "The Carlson-Parkin method applied to NZ price expectations using QSBO survey data," Economics Letters, Elsevier, vol. 51(1), pages 51-57, April.
  12. Lucrezia Reichlin & Mario Forni & Marc Hallin & Marco Lippi, 2001. "Coincident and leading indicators for the Euro area," ULB Institutional Repository 2013/10137, ULB -- Universite Libre de Bruxelles.
  13. Stéphane Gregoir & Fabrice Lenglart, 1998. "Un nouvel indicateur pour saisir les retournements de conjoncture," Économie et Statistique, Programme National Persée, vol. 314(1), pages 39-60.
  14. Lahiri, Kajal & Teigland, Christie & Zaporowski, Mark, 1988. "Interest Rates and the Subjective Probability Distribution of Inflation Forecasts," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(2), pages 233-48, May.
  15. Thomas J. Sargent & Christopher A. Sims, 1977. "Business cycle modeling without pretending to have too much a priori economic theory," Working Papers 55, Federal Reserve Bank of Minneapolis.
  16. Batchelor, R. A., 1981. "Aggregate expectations under the stable laws," Journal of Econometrics, Elsevier, vol. 16(2), pages 199-210, June.
  17. Dasgupta, Susmita & Lahiri, Kajal, 1992. "A Comparative Study of Alternative Methods of Quantifying Qualitative Survey Responses Using NAPM Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 391-400, October.
  18. Michela Nardo, 2003. "The Quantification of Qualitative Survey Data : A Critical Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 645-668, December.
  19. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-44, January.
  20. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
  21. James Mitchell & Richard J. Smith & Martin R. Weale, 2005. "Forecasting Manufacturing Output Growth Using Firm-Level Survey Data," Manchester School, University of Manchester, vol. 73(4), pages 479-499, 07.
  22. Ray Barrell, 1999. "Employment Security and European Labour Demand: A Panel Study Across 16 Industries," NIESR Discussion Papers 194, National Institute of Economic and Social Research.
  23. Pilar Bengoechea & Gabriel Pérez-Quirós, 2004. "A useful tool to identify recessions in the euro-area," Banco de Espa�a Working Papers 0419, Banco de Espa�a.
  24. Lee, Kevin C, 1994. "Formation of Price and Cost Inflation Expectations in British Manufacturing Industries: A Multi-Sectoral Analysis," Economic Journal, Royal Economic Society, vol. 104(423), pages 372-85, March.
  25. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
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