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GDP Data Revisions and Forward-Looking Monetary Policy in Switzerland

Author

Listed:
  • Jordan, Thomas J.
  • Kugler, Peter

    (University of Basel)

  • Lenz, Carlos

    (University of Basel)

  • Savioz, Marcel R.

Abstract

This paper analyzes forward-looking rules for Swiss monetary policy in a small structural VAR model consisting of four variables taking into account data revisions for GDP. First, the paper develops an analytical method to analyze the effect of data revision errors in GDP on the ex ante or conditional inflation-output-growth volatility trade-off and applies it to Swiss data. Second, the effects of different targets in a forward-looking monetary policy on ex post or unconditional volatility of inflation and output growth is explored by a simulation exercise. In general, the results obtained suggest that focusing monetary policy on GDP growth instead on inflation may lead to an inefficient policy with both increased medium term inflation and GDP growth volatility in the presence of GDP data revisions.

Suggested Citation

  • Jordan, Thomas J. & Kugler, Peter & Lenz, Carlos & Savioz, Marcel R., 2005. "GDP Data Revisions and Forward-Looking Monetary Policy in Switzerland," Working papers 2005/05, Faculty of Business and Economics - University of Basel.
    • Handle: RePEc:bsl:wpaper:2005/05
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    References listed on IDEAS

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    1. Kenneth Rogoff, 1985. "The Optimal Degree of Commitment to an Intermediate Monetary Target," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(4), pages 1169-1189.
    2. Jordan, Thomas J. & Kugler, Peter & Lenz, Carlos & Savioz, Marcel R., 2005. "The Analysis of Forward-Looking Monetary Policy in a SVAR Framework," Working papers 2005/10, Faculty of Business and Economics - University of Basel.
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    11. Peter Kugler & Georg Rich, 2002. "Monetary Policy Under Low Interest Rates: The Experience of Switzerland in the late 1970s," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(III), pages 241-269, September.
    12. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
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    14. Peter Kugler & Thomas J. Jordan, 2004. "Structural Vector Autoregressions and the Analysis of Monetary Policy Interventions: The Swiss Case," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 140(I), pages 67-87, March.
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    Cited by:

    1. Ronald Indergand & Stefan Leist, 2014. "A Real-Time Data Set for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(IV), pages 331-352, December.
    2. Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
    3. Katrin Assenmacher-Wesche, 2008. "Modeling Monetary Transmission in Switzerland with a Structural Cointegrated VAR Model," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 197-246, June.
    4. Dean Croushore, 2011. "Frontiers of Real-Time Data Analysis," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 72-100, March.
    5. Marek RUSNAK, 2013. "Revisions to the Czech National Accounts: Properties and Predictability," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(3), pages 244-261, July.

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    Keywords

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    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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