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The CBI Suite of Business Surveys

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Listed:
  • Kevin Lee
  • Michael Mahony
  • Paul Mizen

Abstract

This paper provides an overview of the data sample, structure and uses of the data collected monthly since 2000 through the CBI’s suite of business surveys. The surveys gather information from thousands of firms on various economic outcomes, both retrospectively and in expectation, and provide a rich source of real-time information on the state of the economy. This paper describes the questions posed, the sample frame – including details on the number and participation rates of respondents – the characteristics of the firm participants and a summary of the properties of the data relating to some key business cycle features, namely, movements in output, investment, capacity, and inventories.

Suggested Citation

  • Kevin Lee & Michael Mahony & Paul Mizen, 2020. "The CBI Suite of Business Surveys," Economic Statistics Centre of Excellence (ESCoE) Technical Reports ESCOE-TR-08, Economic Statistics Centre of Excellence (ESCoE).
    • Handle: RePEc:nsr:escoet:escoe-tr-08
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    References listed on IDEAS

    as
    1. Kevin Lee & Kalvinder Shields, 2007. "Overcoming Measurement Error Problems in the Use of Survey Data on Expectations," The Economic Record, The Economic Society of Australia, vol. 83(262), pages 303-316, September.
    2. Lui, Silvia & Mitchell, James & Weale, Martin, 2011. "The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1128-1146, October.
    3. Mitchell, James & Mouratidis, Kostas & Weale, Martin, 2007. "Uncertainty in UK manufacturing: Evidence from qualitative survey data," Economics Letters, Elsevier, vol. 94(2), pages 245-252, February.
    4. Lena Boneva & James Cloyne & Martin Weale & Tomasz Wieladek, 2020. "Firms' Price, Cost and Activity Expectations: Evidence from Micro Data," The Economic Journal, Royal Economic Society, vol. 130(627), pages 555-586.
    5. James Mitchell & Richard J. Smith & Martin R. Weale, 2013. "Efficient Aggregation Of Panel Qualitative Survey Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 580-603, June.
    6. 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, February.
    7. Alain N. Kabundi, 2004. "Estimation of Economic Growth in France Using Business Survey Data," IMF Working Papers 2004/069, International Monetary Fund.
    8. 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 372-385, March.
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    Cited by:

    1. Michael J Mahony & Josh Martin, 2022. "Matching UK Business Microdata – A Study Using ONS and CBI Business Surveys," Economic Statistics Centre of Excellence (ESCoE) Technical Reports ESCOE-TR-14, Economic Statistics Centre of Excellence (ESCoE).
    2. Josh Martin & Kyle Jones, 2023. "An Occupation and Asset-Driven Approach to Capital Utilization Adjustment in Productivity Statistics," NBER Chapters, in: Technology, Productivity, and Economic Growth, National Bureau of Economic Research, Inc.
    3. Josh Martin & Kyle Jones, 2022. "An Occupation and Asset Driven Approach to Capital Utilisation Adjustment in Productivity Statistics," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-11, Economic Statistics Centre of Excellence (ESCoE).

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    More about this item

    Keywords

    survey data; expectations; output; capacity;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E71 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on the Macro Economy

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