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The Effect of Monetary Policy on Inflation: A Factor Augmented VAR Approach using disaggregated data

Author

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  • Sigal Ribon

    (Bank of Israel)

Abstract

This paper studies the effect of monetary policy on the Israeli consumer price index and its components using a Factor Augmented VAR approach. We identify shocks to two observable variables – the central bank's interest rate and the exchange rate. We find that most prices decline in response to an increase in the interest rate, so there is no "price puzzle". A shock to the interest rate has, at least for some time, an effect on relative prices due to a distinct effect on partial price aggregates of the CPI. Generally, price aggregates that are better correlated with macro factors, or that are characterized by serial correlation in the specific shocks tend to react more to a monetary shock. Housing and energy prices tend to react stronger to a shock in the interest rate. A shock to the exchange rate (depreciation) has a positive effect on all prices with prices of traded goods, energy and housing increasing more than other prices. Our findings suggest that the main transmission channel of monetary policy to prices is through the exchange rate.

Suggested Citation

  • Sigal Ribon, 2011. "The Effect of Monetary Policy on Inflation: A Factor Augmented VAR Approach using disaggregated data," Bank of Israel Working Papers 2011.12, Bank of Israel.
  • Handle: RePEc:boi:wpaper:2011.12
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    References listed on IDEAS

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    1. Bagliano, Fabio C. & Morana, Claudio, 2009. "International macroeconomic dynamics: A factor vector autoregressive approach," Economic Modelling, Elsevier, vol. 26(2), pages 432-444, March.
    2. Jean Boivin & Marc P. Giannoni, 2007. "Global Forces and Monetary Policy Effectiveness," NBER Chapters, in: International Dimensions of Monetary Policy, pages 429-478, National Bureau of Economic Research, Inc.
    3. Gianluca Laganà & Andrew Mountford, 2005. "Measuring Monetary Policy In The Uk: A Factor‐Augmented Vector Autoregression Model Approach," Manchester School, University of Manchester, vol. 73(s1), pages 77-98, September.
    4. Jean Boivin & Marc P. Giannoni & Ilian Mihov, 2009. "Sticky Prices and Monetary Policy: Evidence from Disaggregated US Data," American Economic Review, American Economic Association, vol. 99(1), pages 350-384, March.
    5. Belviso Francesco & Milani Fabio, 2006. "Structural Factor-Augmented VARs (SFAVARs) and the Effects of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(3), pages 1-46, December.
    6. Benjamin Eden, 2001. "Inflation and Price Adjustment: An Analysis of Microdata," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(3), pages 607-636, July.
    7. Mark Gertler & John Leahy, 2008. "A Phillips Curve with an Ss Foundation," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 533-572, June.
    8. Carlos Vargas-Silva, 2008. "The effect of monetary policy on housing: a factor-augmented vector autoregression (FAVAR) approach," Applied Economics Letters, Taylor & Francis Journals, vol. 15(10), pages 749-752.
    9. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    10. Mumtaz, Haroon & Zabczyk, Pawel & Ellis, Colin, 2009. "What lies beneath: what can disaggregated data tell us about the behaviour of prices?," Bank of England working papers 364, Bank of England.
    11. Kapetanios, George & Labhard, Vincent & Price, Simon, 2008. "Forecast combination and the Bank of England's suite of statistical forecasting models," Economic Modelling, Elsevier, vol. 25(4), pages 772-792, July.
    12. Lach, Saul & Tsiddon, Daniel, 1992. "The Behavior of Prices and Inflation: An Empirical Analysis of Disaggregated Price Data," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 349-389, April.
    13. Saul Lach, 2002. "Existence And Persistence Of Price Dispersion: An Empirical Analysis," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 433-444, August.
    14. McCallum, Andrew & Smets, Frank, 2007. "Real wages and monetary policy transmission in the euro area," Kiel Working Papers 1360, Kiel Institute for the World Economy (IfW Kiel).
    15. Rita Soares, 2011. "Assessing monetary policy in the euro area: a factor-augmented VAR approach," Working Papers w201111, Banco de Portugal, Economics and Research Department.
    16. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    17. Hwee Kwan Chow & Keen Meng Choy, 2009. "Monetary Policy And Asset Prices In A Small Open Economy: A Factor-Augmented Var Analysis For Singapore," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-23.
    18. Masahiko Shibamoto, 2007. "An Analysis Of Monetary Policy Shocks In Japan: A Factor Augmented Vector Autoregressive Approach," The Japanese Economic Review, Japanese Economic Association, vol. 58(4), pages 484-503, December.
    19. Blaes, Barno, 2009. "Money and monetary policy transmission in the euro area: evidence from FAVAR- and VAR approaches," Discussion Paper Series 1: Economic Studies 2009,18, Deutsche Bundesbank.
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