Quasi-Real-Time Data of the Economic Tendency Survey
Johan Samuelsson and
Pär Österholm ()
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Maria Billstam: National Institute of Economic Research
Kristina Frändén: Statistics Sweden
Johan Samuelsson: National Institute of Economic Research
Journal of Business Cycle Research, 2017, vol. 13, issue 1, 105-138
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.
Keywords: Data revisions; Nowcasting; C83; E17 (search for similar items in EconPapers)
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Working Paper: Quasi-Real-Time Data of the Economic Tendency Survey (2016)
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