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Models and relations in economics and econometrics

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Author Info

  • Katarina Juselius

Abstract

Based on a money market analysis using the cointegrated VAR model the paper demonstrates some possible pitfalls in macroeconomic inference as a direct consequence of inadequate stochastic model formulation. A number of questions related to concepts such as empirical and theoretical steady-states, speed of adjustment, feedback and interaction effects, and driving forces are addressed within the framework of the cointegrated VAR model. The interpretation and analysis of common driving trends are related to the notion of shocks or disturbances to a system, distinguishing between permanent and transitory, and anticipated and unanticipated effects.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/13501789900000017
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Bibliographic Info

Article provided by Taylor and Francis Journals in its journal Journal of Economic Methodology.

Volume (Year): 6 (1999)
Issue (Month): 2 ()
Pages: 259-290

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Handle: RePEc:taf:jecmet:v:6:y:1999:i:2:p:259-290

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Related research

Keywords: econometric methodology; macroeconomic inference; cointegrated VAR; monetary policy;

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Cited by:
  1. Cushman, David O., 2008. "Long-run PPP in a system context: No favorable evidence after all for the U.S., Germany, and Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 413-424, December.
  2. Gilberto A. Libanio, 2004. "Unit roots in macroeconomic time series: theory, implications, and evidence," Textos para Discussão Cedeplar-UFMG td228, Cedeplar, Universidade Federal de Minas Gerais.
  3. Cushman, David O., 2007. "A portfolio balance approach to the Canadian-U.S. exchange rate," Review of Financial Economics, Elsevier, vol. 16(3), pages 305-320.
  4. Gilberto A. Libanio, 2004. "Unit roots in macroeconomic time series: a post Keynesian interpretation," Textos para Discussão Cedeplar-UFMG td233, Cedeplar, Universidade Federal de Minas Gerais.
  5. Peter Rowland & Hugo Oliveros, 2003. "Colombian Purchasing Power Parity Analysed Using A Framework of Multivariate Cointegration," BORRADORES DE ECONOMIA 002150, BANCO DE LA REPÚBLICA.
  6. Gebhard Kirchgässner & Jürgen Wolters, 2010. "The Role of Monetary Aggregates in the Policy Analysis of the Swiss National Bank," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(I), pages 221-253, March.
  7. Christer Ljungwall, 2006. "Export-led Growth: Application to China's Provinces, 1978-2001," Journal of Chinese Economic and Business Studies, Taylor and Francis Journals, vol. 4(2), pages 109-126.
  8. Imke Brüggemann, 2003. "Measuring Monetary Policy in Germany: A Structural Vector Error Correction Approach," German Economic Review, Verein für Socialpolitik, vol. 4, pages 307-339, 08.
  9. Everaert, Gerdie, 2003. "Balanced growth and public capital: an empirical analysis with I(2) trends in capital stock data," Economic Modelling, Elsevier, vol. 20(4), pages 741-763, July.
  10. Schreiber, Sven & Wolters, Jurgen, 2007. "The long-run Phillips curve revisited: Is the NAIRU framework data-consistent?," Journal of Macroeconomics, Elsevier, vol. 29(2), pages 355-367, June.
  11. Iootty, Mariana & Pinto Jr., Helder & Ebeling, Francisco, 2009. "Automotive fuel consumption in Brazil: Applying static and dynamic systems of demand equations," Energy Policy, Elsevier, vol. 37(12), pages 5326-5333, December.
  12. Juselius, Katarina & Toro, Juan, 2005. "Monetary transmission mechanisms in Spain: The effect of monetization, financial deregulation, and the EMS," Journal of International Money and Finance, Elsevier, vol. 24(3), pages 509-531, April.

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