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Controlling Inflation in a Cointergrated Vector Autoregressive Model with an Application to US Data

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  • Soren JOHANSEN
  • Katarina JUSELIUS

Abstract

The notions of instrument, intermediate target and final target are defined in the context of the cointegrated VAR. A target variable is said to be controllable if it can be made stationary around a desired target value by using the instrument. This can be expressed as a condition on the long-run impact matrix. Applying a control rule to intervene in the market changes the dynamics of the process and the properties of the new controlled process have to be derived. The theoretical results are applied to US monetary data on a daily and monthly basis. The empirical results do not provide support for the widely held belief that the Federal Reserve Bank can bring US CPI inflation down by increasing the federal funds rate.
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Suggested Citation

  • Soren JOHANSEN & Katarina JUSELIUS, 2001. "Controlling Inflation in a Cointergrated Vector Autoregressive Model with an Application to US Data," Economics Working Papers ECO2001/02, European University Institute.
    • Handle: RePEc:eui:euiwps:eco2001/02
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    Cited by:

    1. Fabrizio Coricelli & Bostjan Jazbec & Igor Masten, 2004. "Linfluence du régime de change sur linflation dans les pays adhérents," Économie et Prévision, Programme National Persée, vol. 163(2), pages 51-61.
    2. Martin C. Arnold & Christoph Hanck, 2019. "On Combining Evidence from Heteroskedasticity Robust Panel Unit Root Tests in Pooled Regressions," JRFM, MDPI, vol. 12(3), pages 1-22, July.
    3. Ansgar Belke & Marcel Wiedmann, 2018. "Dissecting long-run and short-run causalities between monetary policy and stock prices," International Economics and Economic Policy, Springer, vol. 15(4), pages 761-786, October.
    4. Kurita, Takamitsu, 2018. "A note on potential one-way policy instruments in cointegrated VAR systems," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 55-59.
    5. Anders Møller Christensen & Heino Bohn Nielsen, 2009. "Monetary Policy in the Greenspan Era: A Time Series Analysis of Rules vs. Discretion," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 69-89, February.
    6. Fabrizio Coricelli & Bo??tjan Jazbec & Igor Masten, 2004. "Exchange Rate Policy and Inflation in Acceding Countries: The Role of Pass-through," William Davidson Institute Working Papers Series 2004-674, William Davidson Institute at the University of Michigan.
    7. Eleftheriou, Maria & Kouretas, Georgios P., 2023. "Monetary policy rules and inflation control in the US," Economic Modelling, Elsevier, vol. 119(C).
    8. Ali Shah Mohd & Danish Ahmed Siddiqui, 2020. "Effect of Macroeconomic Factors on Firms ROA: A Comparative Sectorial Analysis from Pakistan," International Journal of Publication and Social Studies, Asian Economic and Social Society, vol. 5(1), pages 1-17, March.
    9. Jennifer Castle & Takamitsu Kurita, 2022. "Structural relationships between cryptocurrency prices and monetary policy indicators," Economics Series Working Papers 972, University of Oxford, Department of Economics.
    10. Coricelli, Fabrizio & Jazbec, Boštjan & Masten, Igor, 2003. "Exchange Rate Pass-Through in Candidate Countries," CEPR Discussion Papers 3894, C.E.P.R. Discussion Papers.
    11. Cassola, Nuno & Morana, Claudio, 2004. "Monetary policy and the stock market in the euro area," Journal of Policy Modeling, Elsevier, vol. 26(3), pages 387-399, April.
    12. Emerson Fernandes Marçal & Priscila Fernandes Ribeiro, 2011. "Levado pelos Fundamentos? Estimando o Desalinhamento Cambial Norte-Americano a partir de Técnicas de Cointegração," Discussion Papers 1674, Instituto de Pesquisa Econômica Aplicada - IPEA.
    13. repec:zbw:rwirep:0435 is not listed on IDEAS
    14. Ansgar Belke & Marcel Wiedmann, 2013. "Monetary Policy, Stock Prices and Central Banks - Cross-Country Comparisons of Cointegrated VAR Models," Ruhr Economic Papers 0435, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    15. Reimers, Hans-Eggert, 2002. "Analysing Divisia Aggregates for the Euro Area," Discussion Paper Series 1: Economic Studies 2002,13, Deutsche Bundesbank.
    16. Eleftheriou, Maria, 2009. "Monetary policy in Germany: A cointegration analysis on the relevance of interest rate rules," Economic Modelling, Elsevier, vol. 26(5), pages 946-960, September.
    17. White, Halbert & Pettenuzzo, Davide, 2014. "Granger causality, exogeneity, cointegration, and economic policy analysis," Journal of Econometrics, Elsevier, vol. 178(P2), pages 316-330.
    18. Cassola, Nuno & Morana, Claudio, 2004. "Monetary policy and the stock market in the euro area," Journal of Policy Modeling, Elsevier, vol. 26(3), pages 387-399, April.
    19. Belke, Ansgar & Wiedmann, Marcel, 2013. "Monetary Policy, Stock Prices and Central Banks - Cross-Country Comparisons of Cointegrated VAR Models," Ruhr Economic Papers 435, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    20. Blake LeBaron, 2013. "Heterogeneous Agents and Long Horizon Features of Asset Prices," Working Papers 63, Brandeis University, Department of Economics and International Business School, revised Sep 2013.
    21. Fabrizio CORICELLI & Bostjan JAZBEC & Igor MASTEN, 2004. "Exchange Rate Pass-Through in Acceding Countries: The Role of Exchange Rate Regimes," Economics Working Papers ECO2004/16, European University Institute.
    22. Ansgar Belke & Marcel Wiedmann, 2013. "Money, Stock Prices and Central Banks – Cross-Country Comparisons of Cointegrated VAR Models," ROME Working Papers 201308, ROME Network.
    23. 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.
    24. Katarina Juselius, 2001. "European integration and monetary transmission mechanisms: the case of Italy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 341-358.

    More about this item

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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