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Quasi-Real-Time Data of the Economic Tendency Survey

Author

Listed:
  • Maria Billstam

    (National Institute of Economic Research)

  • Kristina Frändén

    (Statistics Sweden)

  • Johan Samuelsson

    (National Institute of Economic Research)

  • Pär Österholm

    (Örebro University)

Abstract

Survey data from businesses and households are widely used for forecasting and economic analysis. In Sweden, the most important survey of this kind is the Economic Tendency Survey of the National Institute of Economic Research. A shortcoming with this survey is that real-time data of it largely are unavailable. In this paper, we describe how two quasi-real-time data sets of this survey have been constructed—one monthly and one quarterly. The term “quasi-real-time data” refers to data which are not actual real-time data but have been created in order to provide a close approximation to real-time data. The data sets consist of monthly/quarterly vintages of the most important series of the survey, including the main confidence indicators. A natural usage of these data sets is evaluations of model-based forecasts and nowcasts. We illustrate this with an application to Swedish GDP growth. This shows that several of the studied indicators from the Economic Tendency Survey appear to have positive nowcast content for GDP growth.

Suggested Citation

  • Maria Billstam & Kristina Frändén & Johan Samuelsson & Pär Österholm, 2017. "Quasi-Real-Time Data of the Economic Tendency Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 105-138, May.
    • Handle: RePEc:spr:jbuscr:v:13:y:2017:i:1:d:10.1007_s41549-017-0016-7
    DOI: 10.1007/s41549-017-0016-7
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    Cited by:

    1. Sorić, Petar & Lolić, Ivana & Claveria, Oscar & Monte, Enric & Torra, Salvador, 2019. "Unemployment expectations: A socio-demographic analysis of the effect of news," Labour Economics, Elsevier, vol. 60(C), pages 64-74.
    2. Kristian Jönsson, 2020. "Machine Learning and Nowcasts of Swedish GDP," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 123-134, November.

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    More about this item

    Keywords

    Data revisions; Nowcasting;

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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