Sectoral Inflation Dynamics, Idiosyncratic Shocks and Monetary Policy
AbstractThis paper disentangles fluctuations in disaggregate prices into macroeconomic and idiosyncratic components using a factor-augmented vector autoregression (FAVAR) in order to shed light on sectoral inflation dynamics in Switzerland. We find that disaggregated prices react only slowly to monetary policy and other macroeconomic shocks, but relatively quickly to idiosyncratic shocks. We document that there is a large heterogeneity across sectors in the reaction to monetary policy shocks and show that sectors with larger volatility of idiosyncratic shocks react more readily to monetary policy. This finding stands in contrast to the rational inattention model of price setting. We also find that sectors, which change prices infrequently, react less strongly but if they do change their prices, they adjust them by a large amount. This suggests that the source of sluggish response to aggregate shocks is heterogeneity in menu costs rather than rational inattention. Furthermore, even though prices respond with a significant delay to identified monetary policy shocks, we find no evidence of a price puzzle on average. For single sectors, however, we still find a hump-shaped response which can partially be explained by the fact that, by law, rents are tied to interest rates in Switzerland.
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Bibliographic InfoPaper provided by Swiss National Bank in its series Working Papers with number 2011-07.
Length: 54 pages
Date of creation: 2011
Date of revision:
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More information through EDIRC
monetary policy transmission; idiosyncratic shocks; rational inattention; heterogeneity in price setting; cost channel; price puzzle;
Find related papers by JEL classification:
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
- E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-06-04 (All new papers)
- NEP-CBA-2011-06-04 (Central Banking)
- NEP-MAC-2011-06-04 (Macroeconomics)
- NEP-MON-2011-06-04 (Monetary Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 197-246, June.
- Alain de Serres & Shuji Kobayakawa & Torsten Sløk & Laura Vartia, 2006. "Regulation of Financial Systems and Economic Growth," OECD Economics Department Working Papers, OECD Publishing 506, OECD Publishing.
- Bo E. Honoré & Daniel Kaufmann & Sarah Lein, 2012.
"Asymmetries in Price‐Setting Behavior: New Microeconometric Evidence from Switzerland,"
Journal of Money, Credit and Banking, Blackwell Publishing,
Blackwell Publishing, vol. 44, pages 211-236, December.
- Bo E. Honoré & Daniel Kaufmann & Sarah Marit Lein, 2012. "Asymmetries in Price-Setting Behavior: New Microeconometric Evidence from Switzerland," Working Papers, Swiss National Bank 2012-09, Swiss National Bank.
- Sylvia Kaufmann & Christian Schumacher, 2013. "Bayesian estimation of sparse dynamic factor models with order-independent identification," Working Papers, Swiss National Bank, Study Center Gerzensee 13.04, Swiss National Bank, Study Center Gerzensee.
- Marco Huwiler & Daniel Kaufmann, 2013. "Combining disaggregate forecasts for inflation: The SNB's ARIMA model," Economic Studies 2013-07, Swiss National Bank.
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