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Survey Data and Short-Term Forecasts of Swedish GDP Growth

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In this paper, the author evaluates forecasting models for Swedish GDP growth which make use of data from Sweden´s most important business survey, the Economic Tendency Survey. Employing nine years of quarterly real-time data, an out-of-sample forecast exercise is conducted. Results indicate that the survey data have informational value that can be used to improve forecasts, thereby confirming the empirical relevance of survey data for GDP forecasters.

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  • Österholm, Pär, 2013. "Survey Data and Short-Term Forecasts of Swedish GDP Growth," Working Papers 130, National Institute of Economic Research.
    • Handle: RePEc:hhs:nierwp:0130
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    Cited by:

    1. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    2. 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.
    3. Мекенбаева Камила // Mekenbayeva Kamila & Karel Musil, 2017. "Система прогнозирования в Национальном Банке Казахстана: наукаст на основа опросов // Forecasting system at the National Bank of Kazakhstan: survey-based nowcasting," Working Papers #2017-1, National Bank of Kazakhstan.

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    More about this item

    Keywords

    Out-of-sample forecasts; Real-time data;

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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