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Time-Varying Pass-Through from Import Prices to Consumer Prices: Evidence from an Event Study with Real-Time Data

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  • Marlene Amstad
  • Andreas M. Fischer

Abstract

This paper analyzes the pass-through from import prices to CPI inflation in real time. Our strategy follows an event-study approach, which compares inflation forecasts before and after import price releases. Inflation forecasts are modelled using a dynamic factor procedure that relies on daily panels of Swiss data. We find strong evidence that monthly import price releases provide important information for CPI inflation forecasts and that the behavior of updated forecasts is consistent with a time-varying pass-through. The robustness of this latter result is underpinned in two ways: an alternative CPI measure that excludes price components subject to administered pricing and panels capturing different levels of information breadth. Besides implying a time-varying pass-through, our empirical findings cast doubt on a prominent role of sticky prices for the low pass-through findings.

Suggested Citation

  • Marlene Amstad & Andreas M. Fischer, 2006. "Time-Varying Pass-Through from Import Prices to Consumer Prices: Evidence from an Event Study with Real-Time Data," Working Papers 2006-06, Swiss National Bank.
    • Handle: RePEc:snb:snbwpa:2006-06
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    1. Filippo Altissimo & Antonio Bassanetti & Riccardo Cristadoro & Lucrezia Reichlin & Giovanni Veronese, 2001. "The construction of coincident and leading indicators for the euro area business cycler of the euro area business cycle," Temi di discussione (Economic working papers) 434, Bank of Italy, Economic Research and International Relations Area.
    2. Andreas Fischer & Marlene Amstad, 2004. "Sequential Information Flow and Real-Time Diagnosis of Swiss Inflation: Intra-Monthly DCF Estimates for a Low-Inflation Environment," Working Papers 04.06, Swiss National Bank, Study Center Gerzensee.
    3. Jeannine Bailliu & Eiji Fujii, 2004. "Exchange Rate Pass-Through and the Inflation Environment in Industrialized Countries: An Empirical Investigation," Staff Working Papers 04-21, Bank of Canada.
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    9. Boivin, Jean & Ng, Serena, 2006. "Are more data always better for factor analysis?," Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
    10. Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario & Altissimo, Filippo & Cristadoro, Riccardo & Veronese, Giovanni & Bassanetti, Antonio, 2001. "EuroCOIN: A Real Time Coincident Indicator of the Euro Area Business Cycle," CEPR Discussion Papers 3108, C.E.P.R. Discussion Papers.
    11. Mark Bils & Peter J. Klenow, 2004. "Some Evidence on the Importance of Sticky Prices," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 947-985, October.
    12. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    13. Fischer, Andreas & Amstad, Marlene, 2004. "Sequential Information Flow and Real-Time Diagnosis of Swiss Inflation: Intra-Monthly DCF Estimates for a Low-Inflation Environ," CEPR Discussion Papers 4627, C.E.P.R. Discussion Papers.
    14. Filippo Altissimo & Antonio Bassanetti & Riccardo Cristadoro & Mario Forni & Marco Lippi & Lucrezia Reichlin & Giovanni Veronese, 2001. "A real time coincident indicator of the euro area business cycle," Temi di discussione (Economic working papers) 436, Bank of Italy, Economic Research and International Relations Area.
    15. Marlene Amstad & Andreas Fischer, 2005. "Shock Identification of Macroeconomic Forecasts based on Daily Panels," Working Papers 05.02, Swiss National Bank, Study Center Gerzensee.
    16. Jeannine Bailliu & Hafedh Bouakez, 2004. "Exchange Rate Pass-Through in Industrialized Countries," Bank of Canada Review, Bank of Canada, vol. 2004(Spring), pages 19-28.
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    Cited by:

    1. Miguel A. León-Ledesma & Reginaldo P. Nogueira Júnior, 2010. "Is low inflation really causing the decline in exchange rate pass-through?," Studies in Economics 1002, School of Economics, University of Kent.
    2. Dr. Jonas Stulz, 2007. "Exchange rate pass-through in Switzerland: Evidence from vector autoregressions," Economic Studies 2007-04, Swiss National Bank.
    3. Toshitaka Sekine, 2006. "Time-varying exchange rate pass-through: experiences of some industrial countries," BIS Working Papers 202, Bank for International Settlements.
    4. Reginaldo Pinto Nogueira, Jr., 2014. "A causality test of inflation environment and lower exchange rate pass-through," Economics Bulletin, AccessEcon, vol. 34(3), pages 1679-1686.
    5. Marlene Amstad & Simon M. Potter, 2009. "Real time underlying inflation gauges for monetary policymakers," Staff Reports 420, Federal Reserve Bank of New York.
    6. Beirne, John & Bijsterbosch, Martin, 2011. "Exchange rate pass-through in central and eastern European EU Member States," Journal of Policy Modeling, Elsevier, vol. 33(2), pages 241-254, March.
    7. Chayawadee Chai-anant & Runchana Pongsaparn & Kessarin Tansuwanarat, 2008. "Roles of Exchange Rate in Monetary Policy under Inflation Targeting: A Case Study for Thailand," Working Papers 2008-03, Monetary Policy Group, Bank of Thailand.
    8. Marlene Amstad & Andreas M. Fischer, 2009. "Are Weekly Inflation Forecasts Informative?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(2), pages 237-252, April.

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    More about this item

    Keywords

    Common Factors; Pass-Through; Daily Panels;
    All these keywords.

    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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