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A Structured VAR for Denmark under Changing Monetary Regimes

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  • Juselius, Katarina

Abstract

Using recently developed statistical tools for analyzing cointegrated I(2) data, this article models money, income, prices, and interest rates in Denmark. The final model describes the dynamic adjustment to short-run changes of the process, to deviations from long-run steady states, and to several political interventions. It provides new insights about the effects of the liberalization of trade and capital in a small open European economy.

Suggested Citation

  • Juselius, Katarina, 1998. "A Structured VAR for Denmark under Changing Monetary Regimes," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 400-411, October.
    • Handle: RePEc:bes:jnlbes:v:16:y:1998:i:4:p:400-411
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    Citations

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    Cited by:

    1. Diamandis, Panayiotis F. & Georgoutsos, Dimitris A. & Kouretas, Georgios P., 2000. "The monetary model in the presence of I(2) components: long-run relationships, short-run dynamics and forecasting of the Greek drachma," Journal of International Money and Finance, Elsevier, vol. 19(6), pages 917-941, December.
    2. Saten Kumar & Don J. Webber, 2013. "Australasian money demand stability: application of structural break tests," Applied Economics, Taylor & Francis Journals, vol. 45(8), pages 1011-1025, March.
    3. Jung, Alexander, 2020. "An empirical analysis of loan supply and demand in the euro area," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 187-201.
    4. Garcés Díaz Daniel, 2017. "Explaining Inflation with a Classical Dichotomy Model and Switching Monetary Regimes: Mexico 1932-2013," Working Papers 2017-20, Banco de México.
    5. Jung, Alexander & Carcel Villanova, Hector, 2020. "The empirical properties of euro area M3, 1980-2017," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 37-49.
    6. Mohammad Khanssa & Wafaa Nasser & Abbas Mourad, 2018. "An Econometric Analysis of Inflation and Unemployment in Lebanon: A Vector Error Correction Model (VECM)," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(2), pages 133-141, February.
    7. Katarina Juselius, 2011. "On the Role of Theory and Evidence in Macroeconomics," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 17, Edward Elgar Publishing.
    8. Oliver Holtemöller, 2004. "A monetary vector error correction model of the Euro area and implications for monetary policy," Empirical Economics, Springer, vol. 29(3), pages 553-574, September.
    9. Irandoust Manuchehr & Sjoo Boo, 2000. "The Behavior of the Current Account in Response to Unobservable and Observable Shocks," International Economic Journal, Taylor & Francis Journals, vol. 14(4), pages 41-57.
    10. Anindya Banerjee & Lynne Cockerell & Bill Russell, 2001. "An I(2) analysis of inflation and the markup," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 221-240.
    11. Holtemöller, Oliver, 2002. "Structural vector autoregressive models and monetary policy analysis," SFB 373 Discussion Papers 2002,7, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    12. Kurita, Takamitsu, 2020. "Likelihood-based tests for parameter constancy in I(2) CVAR models with an application to fixed-term deposit data," Journal of Multivariate Analysis, Elsevier, vol. 178(C).
    13. Budina, Nina & Maliszewski, Wojciech & de Menil, Georges & Turlea, Geomina, 2006. "Money, inflation and output in Romania, 1992-2000," Journal of International Money and Finance, Elsevier, vol. 25(2), pages 330-347, March.
    14. 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.
    15. Takamitsu Kurita & Heino Bohn Nielsen & Anders Rahbek, 2009. "An I(2) Cointegration Model With Piecewise Linear Trends: Likelihood Analysis And Application," Discussion Papers 09-13, University of Copenhagen. Department of Economics.
    16. Krusec, Dejan, 2010. "The "price puzzle" in the monetary transmission VARs with long-run restrictions," Economics Letters, Elsevier, vol. 106(3), pages 147-150, March.
    17. J. M. Gil & M. BenKaabia & H. E. Chebbi, 2009. "Macroeconomics and agriculture in Tunisia," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 105-124.
    18. Nikolaus A. Siegfried, 2002. "An information-theoretic extension to structural VAR modelling," Econometrics 0203005, University Library of Munich, Germany.
    19. Holtemöller, Oliver, 2002. "Money and prices: An I(2) analysis for the euro area," SFB 373 Discussion Papers 2002,12, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    20. Kumar, Saten & Rao, B. Bhaskara, 2012. "Error-correction based panel estimates of the demand for money of selected Asian countries with the extreme bounds analysis," Economic Modelling, Elsevier, vol. 29(4), pages 1181-1188.
    21. Rocco Mosconi & Paolo Paruolo, 2022. "A Conversation with Katarina Juselius," Econometrics, MDPI, vol. 10(2), pages 1-21, April.
    22. Takamitsu Kurita, 2019. "A Recursive Monte Carlo Study of Structural-Break Sensitivity of Adjustment Coefficients in Cointegrated VAR Systems," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 251-270, June.
    23. Shushanik Papanyan, 2010. "The transmission of shocks between Europe, Japan and the United States," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 54-70.
    24. Anindya Banerjee & Bill Russell, 2000. "The Relationship between the Markup and Inflation in the G7 Economies and Australia," Dundee Discussion Papers in Economics 119, Economic Studies, University of Dundee.

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