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Unobserved heterogeneity in price-setting behavior: A duration analysis approach

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  • Matsuoka, Takayasu
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    Abstract

    There is strong empirical evidence that the degree of price stickiness differs across commodity items, and that the nonparametric hazard function of price changes is downward-sloping with some spikes. We introduce item-specific heterogeneity into the standard single-sector model of Calvo [Calvo, G., 1983. Staggered prices in a utility-maximizing framework. Journal of Monetary Economics 12 (3), 383-398]. By allowing the hazard rate of price changes to vary across items, we show that the decreasing nonparametric hazard function is well described except for the characteristic peaks at 1, 12, 24, and 36 months. We reject the hypothesis that the degree of price stickiness is the same across the items at 1 percent of significance. In the presence of item-specific heterogeneity, the probability that prices remain unchanged for long periods is higher than the single-sector model predicts.

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    Bibliographic Info

    Article provided by Elsevier in its journal Japan and the World Economy.

    Volume (Year): 22 (2010)
    Issue (Month): 1 (January)
    Pages: 13-20

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    Handle: RePEc:eee:japwor:v:22:y:2010:i:1:p:13-20

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    Web page: http://www.elsevier.com/locate/inca/505557

    Related research

    Keywords: Sticky prices Hazard function Unobserved heterogeneity;

    References

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    1. Emmanuel Dhyne & Luis J. Alvarez & Herve Le Bihan & Giovanni Veronese & Daniel Dias & Johannes Hoffmann & Nicole Jonker & Patrick Lunnemann & Fabio Rumler & Jouko Vilmunen, 2006. "Price Changes in the Euro Area and the United States: Some Facts from Individual Consumer Price Data," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 171-192, Spring.
    2. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    3. Meyer, Bruce D, 1990. "Unemployment Insurance and Unemployment Spells," Econometrica, Econometric Society, vol. 58(4), pages 757-82, July.
    4. 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.
    5. Luis J. Álvarez & Pablo Burriel & Ignacio Hernando, 2005. "Do decreasing hazard functions for price changes make any sense?," Banco de Espa�a Working Papers 0508, Banco de Espa�a.
    6. Emi Nakamura & Jón Steinsson, 2008. "Five Facts about Prices: A Reevaluation of Menu Cost Models," The Quarterly Journal of Economics, MIT Press, vol. 123(4), pages 1415-1464, November.
    7. Yu, Binbing, 2006. "Estimation of shared Gamma frailty models by a modified EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 50(2), pages 463-474, January.
    8. Luis J. Álvarez, 2007. "What do micro price data tell us on the validity of the New Keynesian Phillips Curve?," Banco de Espa�a Working Papers 0728, Banco de Espa�a.
    9. 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.
    10. Roberto G. Gutierrez, 2002. "Parametric frailty and shared frailty survival models," Stata Journal, StataCorp LP, vol. 2(1), pages 22-44, February.
    11. Honore, Bo E, 1993. "Identification Results for Duration Models with Multiple Spells," Review of Economic Studies, Wiley Blackwell, vol. 60(1), pages 241-46, January.
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