Quasi-Real-Time Data of the Economic Tendency Survey

Maria Billstam (), Kristina Frändén, Johan Samuelsson () and Pär Österholm
Additional contact information
Maria Billstam: National Institute of Economic Research, Postal: National Institute of Economic Research, P.O. Box 3116, SE-103 62 Stockholm, Sweden, http://www.konj.se
Kristina Frändén: National Institute of Economic Research, Postal: National Institute of Economic Research, P.O. Box 3116, SE-103 62 Stockholm, Sweden, http://www.konj.se
Johan Samuelsson: National Institute of Economic Research, Postal: National Institute of Economic Research, P.O. Box 3116, SE-103 62 Stockholm, Sweden, http://www.konj.se

No 143, Working Papers from National Institute of Economic Research

Abstract: Survey data from businesses and households are widely used for fore-casting 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 and made publicly available – one monthly and one quarterly. 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 all models based on indicators from the Economic Tendency Survey, except the one relying on the confidence indicator for the construction industry, have higher forecast precision than the benchmark models.

Keywords: Data revisions; Nowcasting (search for similar items in EconPapers)
JEL-codes: C83 E17 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2016-04-26
New Economics Papers: this item is included in nep-for and nep-mac
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Related works:
Journal Article: Quasi-Real-Time Data of the Economic Tendency Survey (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:nierwp:0143

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