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Forecasting regional growth in Germany: A panel approach using business survey data

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  • Wenzel, Lars
Abstract
This paper is a first attempt to construct quantitative forecasts for regional growth in Germany using business survey data (BSD) from the German chambers of commerce. A panel approach is used to model the growth rates of the Bundesländer from the year 2000 onwards. The proposed model does well in explaining regional growth and the coefficients on the BSD are relatively stable. Results suggest that an indicator that is 10 points higher reflects growth rates that are 0.3-0.4 percentage points higher, while a 10 point increase from the previous year suggests an increase in growth by 0.25 percentage points. Fixed effects are found to play a negligible role. The BSD provides additional information on regional growth and outperforms the benchmark without BSD by up to 14 per cent for the full time period. For the period from 2000 to 2007 this value is as much as 20 per cent. However, for the time period from 2008 onwards, BSD does not provide significant information content over the benchmark. This reflects several shortcomings of the BSD, which nonetheless appears a valuable source of information in forecasting regional growth.

Suggested Citation

  • Wenzel, Lars, 2013. "Forecasting regional growth in Germany: A panel approach using business survey data," HWWI Research Papers 133, Hamburg Institute of International Economics (HWWI).
    • Handle: RePEc:zbw:hwwirp:133
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    Cited by:

    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    2. Robert Lehmann & Klaus Wohlrabe, 2014. "Regional economic forecasting: state-of-the-art methodology and future challenges," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 218-231.
    3. Lehmann Robert & Wohlrabe Klaus, 2015. "Forecasting GDP at the Regional Level with Many Predictors," German Economic Review, De Gruyter, vol. 16(2), pages 226-254, May.
    4. Konstantin A. Kholodilin & Boriss Siliverstovs, 2017. "Think national, forecast local: a case study of 71 German urban housing markets," Applied Economics, Taylor & Francis Journals, vol. 49(42), pages 4271-4297, September.
    5. Nina Vujanovic & Bruno Casella & Richard Bolwijn, . "Forecasting global FDI: a panel data approach," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    6. Konstantin A. Kholodilin & Boriss Siliverstovs, 2014. "Business Confidence and Forecasting of Housing Prices and Rents in Large German Cities," Discussion Papers of DIW Berlin 1360, DIW Berlin, German Institute for Economic Research.

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