IDEAS home Printed from https://ideas.repec.org/a/spr/jbuscr/v13y2017i1d10.1007_s41549-017-0013-x.html
   My bibliography  Save this article

Are Microstates Necessarily Led by Their Bigger Neighbors’ Business Cycle? The Case of Liechtenstein and Switzerland

Author

Listed:
  • Andreas Brunhart

    (Liechtenstein Institute)

Abstract

This paper investigates Liechtenstein’s business cycle compared to its neighboring countries (Switzerland, Austria) and other countries with strong economic relations with Liechtenstein (Germany, Italy, France, USA). In contrast to the widespread notion of small countries “importing” the business cycle from bigger nations, it is shown that the real GDP of the microstate Liechtenstein is a leading indicator for the economy of its bigger neighbor Switzerland, regarding the growth rates as well as the output gap. This finding is based on cross correlation analyses and single- and multi-equation Granger causality tests, applying annual data from 1972 until 2014 or 2015. The significant GDP lead of one year is robust across all the various time frames and model specifications and seems to be driven by the goods exports. Also, Liechtenstein seems to react earlier to US business cycle fluctuations. This finding is not only interesting in the context of Liechtenstein and Switzerland but also encourages further research as it indicates the possibility that very small states are not only more exposed to foreign shocks, react more sensitively to international economic fluctuations, and are more volatile than their big “patron” nations—all stylized facts from small state economics literature—, but that their business cycles could be affected earlier.

Suggested Citation

  • Andreas Brunhart, 2017. "Are Microstates Necessarily Led by Their Bigger Neighbors’ Business Cycle? The Case of Liechtenstein and Switzerland," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 29-52, May.
  • Handle: RePEc:spr:jbuscr:v:13:y:2017:i:1:d:10.1007_s41549-017-0013-x
    DOI: 10.1007/s41549-017-0013-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41549-017-0013-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s41549-017-0013-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gerhard Fenz & Martin Schneider, 2006. "Is Germany’s Influence on Austria Waning?," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 24-45.
    2. Periklis Gogas, 2013. "Business cycle synchronisation in the European Union: The effect of the common currency," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(1), pages 1-14.
    3. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    4. Michael Graff, 2005. "Internationale Konjunkturverbunde," KOF Working papers 05-108, KOF Swiss Economic Institute, ETH Zurich.
    5. Travis J. Berge, 2012. "Has globalization increased the synchronicity of international business cycles?," Economic Review, Federal Reserve Bank of Kansas City, vol. 97(Q III).
    6. Johansen, Soren, 1992. "Determination of Cointegration Rank in the Presence of a Linear Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 383-397, August.
    7. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    8. Easterly, William & Kraay, Aart, 2000. "Small States, Small Problems? Income, Growth, and Volatility in Small States," World Development, Elsevier, vol. 28(11), pages 2013-2027, November.
    9. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    10. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    11. Yin-Wong Cheung & Frank Westermann, 1999. "An analysis of German effects on the Austrian business cycle," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 135(3), pages 522-531, September.
    12. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    13. Filippo Altissimo & Domenico J. Marchetti & Gian Paolo Oneto, 2000. "The Italian Business Cycle: Coincident and Leading Indicators and Some Stylized Facts," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 59(2), pages 147-220, September.
    14. Mark Meyer & Peter Winker*, 2005. "Using HP Filtered Data for Econometric Analysis: Some Evidence from Monte Carlo Simulations," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 89(3), pages 303-320, August.
    15. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    16. Aguiar-Conraria, LuI´s & Joana Soares, Maria, 2011. "Business cycle synchronization and the Euro: A wavelet analysis," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 477-489, September.
    17. Klaus Prettner & Robert Kunst, 2012. "The dynamic interrelations between unequal neighbors: an Austro-German case study," Empirical Economics, Springer, vol. 43(2), pages 741-761, October.
    18. Michael Graff, 2011. "International business cycles," KOF Working papers 11-291, KOF Swiss Economic Institute, ETH Zurich.
    19. Matteo M. Pelagatti & Valeria Negri, 2010. "The Industrial Cycle of Milan as an Accurate Leading Indicator for the Italian Business Cycle," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(2), pages 1-17.
    20. Marcus Scheiblecker, 2007. "Datierung von Konjunkturwendepunkten in Österreich," WIFO Monatsberichte (monthly reports), WIFO, vol. 80(9), pages 715-730, September.
    21. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    22. Andreas Brunhart, 2013. "Der Klein(st)staat Liechtenstein und seine grossen Nachbarländer: Eine wachstums- und konjunkturanalytische Gegenüberstellung," Arbeitspapiere 44, Liechtenstein-Institut.
    23. Brunhart, Andreas, 2012. "Identification of Liechtenstein's historic economic growth and business cycles by econometric extensions of data series," KOFL Working Papers 14, Konjunkturforschungsstelle Liechtenstein (KOFL), Vaduz.
    24. Schlag, Carsten-Henning, 2012. "Konjunktur- und Wachstumsanalyse für das Fürstentum Liechtenstein: Frankenraum im Gegenwind," KOFL Konjunkturberichte 2012, Konjunkturforschungsstelle Liechtenstein (KOFL), Vaduz.
    25. Michael Dueker & Katrin Wesche, 2003. "European Business Cycles: New Indices and Their Synchronicity," Economic Inquiry, Western Economic Association International, vol. 41(1), pages 116-131, January.
    26. Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-193, January.
    27. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    28. Allan Layton & Anirvan Banerji & Lakshman Achuthan, 2015. "The world and “The world business cycle chronology”," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(1), pages 23-40.
    29. Boriss Siliverstovs, 2011. "The Real-Time Predictive Content of the KOF Economic Barometer," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 147(III), pages 353-375, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brunhart, Andreas, 2022. "Country Size and Exposure to International Economic Shocks: New Evidence from the Financial Crisis," EconStor Preprints 263310, ZBW - Leibniz Information Centre for Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brunhart, Andreas, 2015. "The Swiss business cycle and the lead of small neighbor Liechtenstein," EconStor Preprints 130154, ZBW - Leibniz Information Centre for Economics.
    2. Andreas Brunhart, 2013. "Der Klein(st)staat Liechtenstein und seine grossen Nachbarländer: Eine wachstums- und konjunkturanalytische Gegenüberstellung," Arbeitspapiere 44, Liechtenstein-Institut.
    3. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    4. Chien-Chiang Lee & Chun-Ping Chang, 2006. "The Long-Run Relationship Between Defence Expenditures And Gdp In Taiwan," Defence and Peace Economics, Taylor & Francis Journals, vol. 17(4), pages 361-385.
    5. Xiaojie Xu, 2017. "The rolling causal structure between the Chinese stock index and futures," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(4), pages 491-509, November.
    6. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    7. Eleni Constantinou & Avo Kazandjian & Georgios P. Kouretas & Vera Tahmazian, 2008. "Common Stochastic Trends Among The Cyprus Stock Exchange And The Ase, Lse And Nyse," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 327-349, October.
    8. de Meulemeester, Jean-Luc & Rochat, Denis, 1995. "A causality analysis of the link between higher education and economic development," Economics of Education Review, Elsevier, vol. 14(4), pages 351-361, December.
    9. repec:adr:anecst:y:1998:i:52:p:01 is not listed on IDEAS
    10. André van Stel & Roy Thurik & Chantal Hartog & Simon Parker, 2010. "The two-way relationship between entrepreneurship and economic performance," Scales Research Reports H200822, EIM Business and Policy Research.
    11. Stern, David I., 2000. "A multivariate cointegration analysis of the role of energy in the US macroeconomy," Energy Economics, Elsevier, vol. 22(2), pages 267-283, April.
    12. Climent, Francisco & Meneu, Vicente, 2003. "Has 1997 Asian crisis increased information flows between international markets," International Review of Economics & Finance, Elsevier, vol. 12(1), pages 111-143.
    13. Judith A. Clarke & Sadaf Mirza, 2003. "Some Finite Sample Results On Testing For Granger Noncausality," Econometrics Working Papers 0305, Department of Economics, University of Victoria.
    14. In Choi, 2013. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    15. Singh, Manish K. & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2021. "Quantifying sovereign risk in the euro area," Economic Modelling, Elsevier, vol. 95(C), pages 76-96.
    16. Abimelech Paye Gbatu & Zhen Wang & Presley K. Wesseh Jr. & Isaac Yak Repha Tutdel, 2017. "Causal Effects and Dynamic Relationship between Exchange Rate Volatility and Economic Development in Liberia," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 119-131.
    17. Gaolu Zou & K. W. Chau, 2019. "Long- and Short-Run Effects of Fuel Prices on Freight Transportation Volumes in Shanghai," Sustainability, MDPI, vol. 11(18), pages 1-12, September.
    18. Mohammad Jaforullah, 2015. "International tourism and economic growth in New Zealand," Working Papers 1502, University of Otago, Department of Economics, revised Apr 2015.
    19. Kalaitzi, Athanasia Stylianou & Chamberlain, Trevor William, 2021. "The validity of the export-led growth hypothesis: some evidence from the GCC," LSE Research Online Documents on Economics 106586, London School of Economics and Political Science, LSE Library.
    20. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911.
    21. Éric Jondeau & Roland Ricart, 1998. "La théorie des anticipations de la structure par terme : test à partir de titres publics français," Annals of Economics and Statistics, GENES, issue 52, pages 1-22.

    More about this item

    Keywords

    Business cycles; Leading indicators; Microstates; Liechtenstein; Switzerland; VAR models; Granger causality;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jbuscr:v:13:y:2017:i:1:d:10.1007_s41549-017-0013-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.