Forecasting GDP all over the World: Evidence from Comprehensive Survey Data

Johanna Garnitz, Robert Lehmann and Klaus Wohlrabe

MPRA Paper from University Library of Munich, Germany

Abstract: Comprehensive and international comparable leading indicators across countries and continents are rare. In this paper, we use a free and fast available source of leading indicators, the World Economic Survey (WES) conducted by the ifo Institute, to forecast growth of Gross Domestic Product (GDP) in 44 countries and three country aggregates separately. We come up with three major results. First, for 35 countries as well as the three aggregates a model containing one of the major WES indicators produces on average lower forecast errors compared to an autoregressive benchmark model. Second, the most important WES indicators are either the economic climate or the expectations on future economic development for the next six months. And last, 70% of all country-specific models contain WES information from at least one of the main trading partners. Thus, by allowing WES indicators from economic important partners to forecast GDP of the country under consideration, increases forecast accuracy.

Keywords: World Economic Survey; Economic Climate; Forecasting GDP (search for similar items in EconPapers)
JEL-codes: E17 E27 E37 (search for similar items in EconPapers)
Date: 2017-10-04
New Economics Papers: this item is included in nep-for and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Forecasting GDP all over the world using leading indicators based on comprehensive survey data (2019)
Journal Article: Forecasting GDP all over the world using leading indicators based on comprehensive survey data (2019)
Working Paper: Forecasting GDP all over the world using leading indicators based on comprehensive survey data (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:81772

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