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Survey data and short-term forecasts of Swedish GDP growth

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  • P�r Österholm

Abstract

In this article, we evaluate 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, we conduct an out-of-sample forecast exercise. 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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  • P�r Österholm, 2014. "Survey data and short-term forecasts of Swedish GDP growth," Applied Economics Letters, Taylor & Francis Journals, vol. 21(2), pages 135-139, January.
    • Handle: RePEc:taf:apeclt:v:21:y:2014:i:2:p:135-139
    DOI: 10.1080/13504851.2013.844317
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    Cited by:

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    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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    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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