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Price Setting Behavior and Hazard Functions: Evidence from Japanese CPI Micro Data

Author

Listed:
  • Daisuke Ikeda

    (Bank of Japan)

  • Shinichi Nishioka

    (Bank of Japan)

Abstract

We explore the micro price setting behavior using micro data of the consumer price index (CPI) in Japan. We estimate price hazard functions by the finite mixture model with multiple spells allowing the heterogeneity among price setters. Our estimation supports these striking findings. First, unlike much literature, our estimation finds increasing hazard functions and no decreasing hazard function. The estimated hazard functions are classified mainly into four groups: i) the flexible group; ii) the Calvo pricing group with low frequencies; iii) the Taylor pricing group with regular price changes; and iv) the increasing hazard group. Second, a decreasing empirical hazard function, observed in many countries as well as in Japan, is reproduced by estimated hazard functions of those four groups. Third, the increasing hazard group is likely to follow the time-dependent pricing rather than the state-dependent pricing in our sample period 2000-2004.

Suggested Citation

  • Daisuke Ikeda & Shinichi Nishioka, 2007. "Price Setting Behavior and Hazard Functions: Evidence from Japanese CPI Micro Data," Bank of Japan Working Paper Series 07-E-19, Bank of Japan.
  • Handle: RePEc:boj:bojwps:07-e-19
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    References listed on IDEAS

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    Cited by:

    1. repec:cup:macdyn:v:22:y:2018:i:01:p:135-152_00 is not listed on IDEAS
    2. Klenow, Peter J. & Malin, Benjamin A., 2010. "Microeconomic Evidence on Price-Setting," Handbook of Monetary Economics,in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 6, pages 231-284 Elsevier.
    3. Matsuoka, Takayasu, 2010. "Unobserved heterogeneity in price-setting behavior: A duration analysis approach," Japan and the World Economy, Elsevier, vol. 22(1), pages 13-20, January.
    4. Nao Sudo & Kozo Ueda & Kota Watanabe, 2014. "Micro Price Dynamics during Japan's Lost Decades," Asian Economic Policy Review, Japan Center for Economic Research, vol. 9(1), pages 44-64, January.
    5. Robert G. King & Alexander Wolman & Michael Dotsey, 2009. "Inflation and Real Activity with Firm Level Productivity Shocks," 2009 Meeting Papers 367, Society for Economic Dynamics.
    6. repec:mes:emfitr:v:52:y:2016:i:4:p:1029-1045 is not listed on IDEAS
    7. M. Utku Özmen & Orhun Sevinç, 2016. "Price Rigidity in Turkey: Evidence from Micro Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(4), pages 1029-1045, April.
    8. Lan, Hao & Lloyd, Tim A. & Morgan, C. Wyn, 2013. "The hazard function of sales: An analysis of UK supermarket food prices," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 151972, Agricultural Economics Society.
    9. Noussair, Charles N. & Pfajfar, Damjan & Zsiros, Janos, 2015. "Pricing decisions in an experimental dynamic stochastic general equilibrium economy," Journal of Economic Behavior & Organization, Elsevier, vol. 109(C), pages 188-202.
    10. Sheedy, Kevin D., 2010. "Intrinsic inflation persistence," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 1049-1061, November.
    11. Noussair, C.N. & Pfajfar, D. & Zsiros, J., 2011. "Frictions, Persistence, and Central Bank Policy in an Experimental Dynamic Stochastic General Equilibrium Economy," Discussion Paper 2011-030, Tilburg University, Center for Economic Research.
    12. Di Bartolomeo, Giovanni & Di Pietro, Marco, 2018. "Optimal Inflation Targeting Rule Under Positive Hazard Functions For Price Changes," Macroeconomic Dynamics, Cambridge University Press, vol. 22(01), pages 135-152, January.

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