Estimating and Forecasting Production and Orders in Manufacturing Industry from Business Survey Data: Evidence from Switzerland, 1990-2003
Richard Etter and
Michael Graff
Swiss Journal of Economics and Statistics (SJES), 2003, vol. 139, issue IV, 507-533
Abstract:
A fundamental issue for policy-oriented business cycle research is access to leading - or at least coincident - and reliable indicators of economic activity in manufacturing industry. Therefore, we analyse how the quickly disposable, qualitative information of the business tendency survey conducted by the Swiss Institute for Business Cycle Research (KOF) is related to the official production and order statistics of Switzerland. Pairs of high cross-correlations were selected for further analyses (Granger causality, pattern of turning points). In the next step, the remaining variables are used as predictors of the official statistics in a bivariate and multivariate approach. The results show a very high and stable relationship between the two data-sets particularly for nowcasts and - though to a somewhat lesser degree - for short term prognostics.
Keywords: Coincident and leading indicators; forecasting; manufacturing industry (search for similar items in EconPapers)
JEL-codes: E37 (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (10)
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Persistent link: https://EconPapers.repec.org/RePEc:ses:arsjes:2003-iv-3
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