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A Bayesian Indicator of Manufacturing Output from Qualitative Business Panel Survey Data

Author

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  • Dr Martin Weale
  • Dr. James Mitchell

Abstract

Qualitative business survey data are used widely to provide indicators of economic activity ahead of the publication of official data. Traditional indicators exploit only aggregate survey information, namely the proportions of respondents who report "up" and "down". This paper considers disaggregate or firm-level survey responses. It derives an alternative Bayesian indicator of economic activity relating firms' categorical responses to official data using ordered discrete-choice models. An application to firm-level survey data from the Confederation of British Industry shows that the proposed indicator of manufacturing output growth can provide more accurate early estimates of manufacturing output growth than traditional indicators.

Suggested Citation

  • Dr Martin Weale & Dr. James Mitchell, 2006. "A Bayesian Indicator of Manufacturing Output from Qualitative Business Panel Survey Data," National Institute of Economic and Social Research (NIESR) Discussion Papers 261, National Institute of Economic and Social Research.
    • Handle: RePEc:nsr:niesrd:261
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    Citations

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    Cited by:

    1. Troy D. Matheson & James Mitchell & Brian Silverstone, 2010. "Nowcasting and predicting data revisions using panel survey data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 313-330.
    2. Maurizio Bovi, 2006. "Consumers Sentiment and Cognitive Macroeconometrics Paradoxes and Explanations," ISAE Working Papers 66, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    3. Silvia Lui & James Mitchell & Martin Weale, 2011. "Qualitative business surveys: signal or noise?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(2), pages 327-348, April.
    4. Troy Matheson & James Mitchell & Brian Silverstone, 2007. "Nowcasting and predicting data revisions in real time using qualitative panel survey data," Reserve Bank of New Zealand Discussion Paper Series DP2007/02, Reserve Bank of New Zealand.
    5. Luboš Marek & Stanislava Hronová & Richard Hindls, 2019. "Možnosti odhadů krátkodobých makroekonomických agregátů na základě výsledků konjunkturních průzkumů [Possibilities of Estimations of Short-term Macroeconomic Aggregates Based on Business Survey Res," Politická ekonomie, Prague University of Economics and Business, vol. 2019(4), pages 347-370.
    6. Olivier Biau & Hélène Erkel-Rousse & Nicolas Ferrari, 2006. "Réponses individuelles aux enquêtes de conjoncture et prévision de la production manufacturière," Économie et Statistique, Programme National Persée, vol. 395(1), pages 91-116.

    More about this item

    Keywords

    Survey data; Indicators; Quantification; Forecasting; Forecast Combination;
    All these keywords.

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