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Der neue Konjunkturindex "KonSens": Ein gleichlaufender, vierteljährlicher Sammelindikator für Liechtenstein

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  • Brunhart, Andreas

Abstract

Die Basis konjunkturell relevanter Daten ist für Liechtenstein spärlich, zudem ist die Publikationsverzögerung teilweise hoch und die Frequenz oft tief. Das BIP liegt nur auf Jahresbasis vor und weist eine Publikationsverzögerung von 15 Monaten auf. Im vorliegenden Papier wird durch die Erarbeitung eines vierteljährlichen Konjunkturindexes „KonSens“ („Konjunktursensor“) ein gemeinsames konjunkturelles Signal („Business Cycle as a Consensus“) generiert. Dies geschieht per Hauptkomponentenanalysen-Aggregation von 16 liechtensteinischen, konjunkturellen Einzelindikatoren, die zeitnah und auf Quartalsbasis zur Verfügung stehen. Dadurch wird eine wertvolle Ergänzung zum üblichen Konjunkturbegriff bereitgestellt, der sich meistens nur auf die zyklische Trendabweichung einer einzelnen Wirtschaftsreihe stützt (üblicherweise der BIP-Produktionslücke). Der KonSens schafft ein gesamtwirtschaftliches Konjunktursignal mit schnellerer Verfügbarkeit, höherer Frequenz, guter Verlässlichkeit und einfacher Interpretation sowie eine breiter abgestützte konzeptionelle analytische Grundlage als bis anhin verfügbar. Er verbessert darauf aufbauend die liechtensteinische Konjunkturanalyse und damit auch die Prognosebasis, sowohl für Liechtenstein wie möglicherweise auch für die Schweiz (gegenüber der die liechtensteinische Volkswirtschaft einen signifikanten Konjunkturvorlauf aufweist). Der KonSens könnte auch für andere Klein(st)staaten, welche ähnliche Datenrestriktionen kennen, oder für autonome Gebiete, subnationale Regionen und gar Städte als Vorbild dienen.

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  • Brunhart, Andreas, 2019. "Der neue Konjunkturindex "KonSens": Ein gleichlaufender, vierteljährlicher Sammelindikator für Liechtenstein," EconStor Preprints 225261, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:225261
    DOI: 10.13091/li-ap-62
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    1. Ataman Ozyildirim & Brian Schaitkin & Victor Zarnowitz, 2010. "Business cycles in the euro area defined with coincident economic indicators and predicted with leading economic indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 6-28.
    2. Alain Galli, 2018. "Which Indicators Matter? Analyzing the Swiss Business Cycle Using a Large-Scale Mixed-Frequency Dynamic Factor Model," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(2), pages 179-218, November.
    3. Brunhart, Andreas, 2018. "Konjunktur Liechtensteins weist der Schweiz die Richtung," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 91(4), pages 52-54.
    4. Christian Glocker & Philipp Wegmueller, 2020. "Business cycle dating and forecasting with real-time Swiss GDP data," Empirical Economics, Springer, vol. 58(1), pages 73-105, January.
    5. Geoffrey H. Moore, 1950. "Statistical Indicators of Cyclical Revivals and Recessions," NBER Books, National Bureau of Economic Research, Inc, number moor50-1, March.
    6. Klaus Abberger & Michael Graff & Boriss Siliverstovs & Jan-Egbert Sturm, 2014. "The KOF Economic Barometer, Version 2014," KOF Working papers 14-353, KOF Swiss Economic Institute, ETH Zurich.
    7. Schips, Bernd, 2002. "Konjunkturtheorie und empirische Konjunkturanalyse," HWWA Discussion Papers 177, Hamburg Institute of International Economics (HWWA).
    8. Victor Gómez & Agustín Maravall, 1996. "Programs TRAMO and SEATS, Instruction for User (Beta Version: september 1996)," Working Papers 9628, Banco de España.
    9. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    10. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    11. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    12. Wolfgang Nierhaus & Jan-Egbert Sturm, 2003. "Methods of business cycle forecasting," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(04), pages 7-23, February.
    13. Filippo Altissimo & Riccardo Cristadoro & Mario Forni & Marco Lippi & Giovanni Veronese, 2010. "New Eurocoin: Tracking Economic Growth in Real Time," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1024-1034, November.
    14. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    15. Schips, Bernd, 2002. "Konjunkturtheorie und Empirische Konjunkturanalyse," Discussion Paper Series 26357, Hamburg Institute of International Economics.
    16. Findley, David F, et al, 1998. "New Capabilities and Methods of the X-12-ARIMA Seasonal-Adjustment Program," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 127-152, April.
    17. Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-247, July-Sept.
    18. Ghysels,Eric & Osborn,Denise R., 2001. "The Econometric Analysis of Seasonal Time Series," Cambridge Books, Cambridge University Press, number 9780521565882.
    19. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, March.
    20. Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters, in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1, National Bureau of Economic Research, Inc.
    21. Abberger, Klaus & Graff, Michael & Siliverstovs, Boriss & Sturm, Jan-Egbert, 2018. "Using rule-based updating procedures to improve the performance of composite indicators," Economic Modelling, Elsevier, vol. 68(C), pages 127-144.
    22. Kellermann, Kersten & Schlag, Carsten-Henning, 2012. "Ausländerbeschäftigung in Liechtenstein: Fluch oder Segen?," KOFL Working Papers 12, Konjunkturforschungsstelle Liechtenstein (KOFL), Vaduz.
    23. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1, March.
    24. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
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    1. Brunhart, Andreas & Geiger, Martin & Hasler, Elias & Lehmann, Johannes, 2020. "Wachstumsmonitor 2020. Eine mehrdimensionale Darstellung der Wachstumsentwicklung der liechtensteinischen Volkswirtschaft," EconStor Research Reports 230685, ZBW - Leibniz Information Centre for Economics.

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    More about this item

    Keywords

    Liechtenstein; Konjunkturanalyse; Konjunkturindex; Hauptkomponentenanalyse; Sammelindikator; Saisonbereinigung;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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