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Estimating the cross-sectional distribution of price stickiness from aggregate data

  • Carlos Carvalho
  • Niels Arne Dam

We estimate a multisector sticky-price model for the U.S. economy in which the degree of price stickiness is allowed to vary across sectors. For this purpose, we use a specification that allows us to extract information about the underlying cross-sectional distribution from aggregate data. Identification is possible because sectors play different roles in determining the response of aggregate variables to shocks at different frequencies: Sectors where prices are stickier are relatively more important in determining the low-frequency response. Estimating the model using only aggregate data on nominal and real output, we find that the inferred distribution of price stickiness is strikingly similar to the empirical distribution constructed from the recent microeconomic evidence on price setting in the U.S. economy. We also provide macro-based estimates of the underlying distribution for ten other countries. Finally, we explore our Bayesian approach to combine the aggregate time-series data with the microeconomic information on the distribution of price rigidity. Our results show that allowing for this type of heterogeneity is critically important to understanding the joint dynamics of output and prices, and it constitutes a step toward reconciling the extent of nominal price rigidity implied by aggregate data with the evidence from microeconomic data on price stickiness.

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Paper provided by Federal Reserve Bank of New York in its series Staff Reports with number 419.

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Date of creation: 2009
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Handle: RePEc:fip:fednsr:419
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  1. Sims, Christopher A, 2002. "Solving Linear Rational Expectations Models," Computational Economics, Society for Computational Economics, vol. 20(1-2), pages 1-20, October.
  2. Carlos Carvalho & Fernanda Nechio, 2011. "Aggregation and the PPP Puzzle in a Sticky-Price Model," American Economic Review, American Economic Association, vol. 101(6), pages 2391-2424, October.
  3. Dixon, Huw & Kara, Engin, 2005. "Persistence and nominal inertia in a generalized Taylor economy: how longer contracts dominate shorter contracts," Working Paper Series 0489, European Central Bank.
  4. Andrew Levin & Günter Coenen, 2005. "Identifying the Influences of Nominal and Real Rigidities in Aggregate Price-Setting Behavior," Computing in Economics and Finance 2005 66, Society for Computational Economics.
  5. Kevin D. Sheedy, 2007. "Inflation persistence when price stickiness differs between industries," LSE Research Online Documents on Economics 3738, London School of Economics and Political Science, LSE Library.
  6. repec:oup:restud:v:57:y:1990:i:2:p:183-203 is not listed on IDEAS
  7. Laurence Ball & David Romer, 1987. "Real Rigidities and the Non-Neutrality of Money," NBER Working Papers 2476, National Bureau of Economic Research, Inc.
  8. Taylor, John B, 1979. "Staggered Wage Setting in a Macro Model," American Economic Review, American Economic Association, vol. 69(2), pages 108-13, May.
  9. Argia M. Sbordone, 2001. "Prices and Unit Labor Costs: A New Test of Price Stickiness," Departmental Working Papers 200112, Rutgers University, Department of Economics.
  10. Carvalho Carlos, 2006. "Heterogeneity in Price Stickiness and the Real Effects of Monetary Shocks," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(3), pages 1-58, December.
  11. Etienne Gagnon, 2009. "Price Setting During Low and High Inflation: Evidence from Mexico," The Quarterly Journal of Economics, MIT Press, vol. 124(3), pages 1221-1263, August.
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