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An I(2) Cointegration Analysis of Price and Quantity Formation in Danish Manufactured Exports

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  • Nielsen, Heino Bohn

Abstract

The long-run and short-run structure of the Danish manufacturing export sector is analyzed within a cointegrated vector autoregressive model. The price variables of the analysis can be characterized as integrated of second order, I(2), but long-run homogeneity seems to cancel the I(2)-trend allowing the analysis of a transformed data set to take place within the cointegrated I(1)-framework. Two long-run relations are found and identified as a demand-relation for Danish exports and a polynomially cointegrated price relation. In the price formation a large weight to foreign prices and an effect from the rate of inflation to the steady-state markup are found. The latter effect is interpreted as an element of caution in the price setting in an inflationary environment. To characterize the short-run behavior of the Danish export-sector a structural representation of the model is developed. Copyright 2002 by Blackwell Publishing Ltd

Suggested Citation

  • Nielsen, Heino Bohn, 2002. "An I(2) Cointegration Analysis of Price and Quantity Formation in Danish Manufactured Exports," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 449-472, December.
    • Handle: RePEc:bla:obuest:v:64:y:2002:i:5:p:449-72
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    Cited by:

    1. Cerqueti, Roy & Costantini, Mauro, 2005. "Asymptotic convergence of weighted random matrices: nonparametric cointegration analysis for I(2) processes," Economics & Statistics Discussion Papers esdp05027, University of Molise, Department of Economics.
    2. 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).
    3. Antonio E. Noriega & School of Economics, University of Guanajuato & Daniel Ventosa-Santaulà ria & School of Economics, University of Guanajuato, 2006. "Spurious regression and econometric trends," Computing in Economics and Finance 2006 151, Society for Computational Economics.
    4. Boriss Siliverstovs, 2006. "Multicointegration in US consumption data," Applied Economics, Taylor & Francis Journals, vol. 38(7), pages 819-833.
    5. 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.
    6. Antonio E. Noriega & Daniel Ventosa‐Santaulària, 2007. "Spurious Regression and Trending Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(3), pages 439-444, June.
    7. D. Ventosa-Santaulària, 2009. "Spurious Regression," Journal of Probability and Statistics, Hindawi, vol. 2009, pages 1-27, August.
    8. Noriega Antonio E. & Ventosa-Santaulària Daniel, 2010. "Spurious Long-Horizon Regression in Econometrics," Working Papers 2010-06, Banco de México.
    9. De la Cruz Gallegos Jose Luis & Ivanova Boncheva Antonina & Ruiz-Porras Antonio, 2008. "Competition between Latin America and China for US Direct Investment," Global Economy Journal, De Gruyter, vol. 8(2), pages 1-22, June.
    10. Juergen Amann & Paul Middleditch, 2017. "Growth in a time of austerity: evidence from the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(4), pages 349-375, September.
    11. Ventosa-Santaulària, Daniel & Noriega, Antonio E., 2015. "Long-run monetary neutrality under stochastic and deterministic trends," Economic Modelling, Elsevier, vol. 47(C), pages 372-382.

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