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ifo Import Climate – a First Lead Indicator for Forecasting German Imports

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  • Christian Grimme
  • Robert Lehmann
  • Marvin Nöller

Abstract

Imports are typically one of the factors in economic forecasts that generate the greatest errors. In addition to the high volatility of import growth rate, this is due to the fact there is currently no reliable lead indicator for Germany’s imports. This article proposes such an indicator – the ifo Import Climate -for forecasting German imports based on corporate and consumer surveys. The import climate uses the export expectations of Germany’s most important trade partners to project German demand for imports. A forecasting experiment for this quarter and the next three months underlines the forecasting quality of the ifo Import Climate, which gives rise to fewer forecasting errors than other indicators like, for example, special trade or order intake. This makes the ifo Import Climate a promising indicator for preparing forecasts.

Suggested Citation

  • Christian Grimme & Robert Lehmann & Marvin Nöller, 2018. "ifo Import Climate – a First Lead Indicator for Forecasting German Imports," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(12), pages 27-32, June.
  • Handle: RePEc:ces:ifosdt:v:71:y:2018:i:12:p:27-32
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    References listed on IDEAS

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    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    3. Steffen Elstner & Christian Grimme & Ulrich Haskamp, 2013. "The Ifo Export Climate – an Early Indicator for the German Export Forecast," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(04), pages 36-43, March.
    4. Heinrich, Markus & Carstensen, Kai & Reif, Magnus & Wolters, Maik, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168206, Verein für Socialpolitik / German Economic Association.
    5. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    6. Grimme, Christian & Lehmann, Robert & Noeller, Marvin, 2021. "Forecasting imports with information from abroad," Economic Modelling, Elsevier, vol. 98(C), pages 109-117.
    7. Döhrn Roland & Schmidt Christoph M., 2011. "Information or Institution?: On the Determinants of Forecast Accuracy," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 9-27, February.
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    Cited by:

    1. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    2. Timo Wollmershäuser & Silvia Delrio & Marcell Göttert & Christian Grimme & Jochen Güntner & Carla Krolage & Stefan Lautenbacher & Robert Lehmann & Sebastian Link & Wolfgang Nierhaus & Magnus Reif & Ra, 2018. "ifo Economic Forecast Summer 2018: Storm Clouds Gather over German Economy," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(12), pages 33-87, June.

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    More about this item

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • F10 - International Economics - - Trade - - - General

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