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Is There a Swiss Price Puzzle?

  • Daniel Kaufmann
  • Sarah M. Lein

This paper estimates the response of consumer prices to a monetary policy shock in Switzerland. We find that there is no evidence of a price puzzle at the aggregate level. This is because our factor-augmented vector autoregression (FAVAR) avoids misspecification by including more information than a traditional VAR. However, the response is still delayed by at least four quarters, partly because there is a price puzzle in some sectors. In particular, rents tend to rise after a monetary policy tightening because there are legal provisions in Switzerland which link them to interest rates. But durable goods prices also rise, which is consistent with the existence of a cost channel of monetary policy.

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Article provided by Swiss Society of Economics and Statistics (SSES) in its journal Swiss Journal of Economics and Statistics.

Volume (Year): 148 (2012)
Issue (Month): I (March)
Pages: 57-75

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Handle: RePEc:ses:arsjes:2012-i-3
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  1. Daniel Kaufmann, 2009. "Price-Setting Behaviour in Switzerland: Evidence from CPI Micro Data," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 145(III), pages 293-349, September.
  2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
  3. Carl E. Walsh, 2003. "Monetary Theory and Policy, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232316, June.
  4. Chowdhury, Ibrahim & Hoffmann, Mathias & Schabert, Andreas, 2006. "Inflation dynamics and the cost channel of monetary transmission," European Economic Review, Elsevier, vol. 50(4), pages 995-1016, May.
  5. 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, Oxford University Press, vol. 120(1), pages 387-422.
  6. Christopher A. Sims, 1992. "Interpreting the Macroeconomic Time Series Facts: The Effects of Monetary Policy," Cowles Foundation Discussion Papers 1011, Cowles Foundation for Research in Economics, Yale University.
  7. 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.
  8. Eichenbaum, Martin, 1992. "'Interpreting the macroeconomic time series facts: The effects of monetary policy' : by Christopher Sims," European Economic Review, Elsevier, vol. 36(5), pages 1001-1011, June.
  9. Eric M. Leeper & Tao Zha, 2001. "Assessing simple policy rules: a view from a complete macroeconomic model," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 83-112.
  10. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
  11. Giordani, Paolo, 2001. "An Alternative Explanation of the Price Puzzle," Working Paper Series 125, Sveriges Riksbank (Central Bank of Sweden).
  12. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
  13. Ravenna, Federico & Walsh, Carl E., 2006. "Optimal monetary policy with the cost channel," Journal of Monetary Economics, Elsevier, vol. 53(2), pages 199-216, March.
  14. Rabanal, Pau, 2007. "Does inflation increase after a monetary policy tightening? Answers based on an estimated DSGE model," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 906-937, March.
  15. Castelnuovo, Efrem & Surico, Paolo, 2009. "Monetary policy, inflation expectations and the price puzzle," Research Discussion Papers 30/2009, Bank of Finland.
  16. James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.
  17. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-62, April.
  18. Jushan Bai & Serena Ng, 2004. "Confidence Intervals for Diffusion Index Forecasts with a Large Number of Predictor," Econometrics 0408006, EconWPA.
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