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Asymmetric Shocks and Regional Risk Sharing: Evidence from Japan

Author

Listed:
  • Fujiki, Hiroshi

    (Institute for Money and Econ Studies, Bank of Japan)

  • Nakakuki, Masayuki

    (Institute for Money and Econ Studies, Bank of Japan)

Abstract

We use the methodology of Kalemli-Ozcan, Sorensen, and Yosha ( 2003) to calculate the degree of insurance among the Japanese prefectures. Prefectural-level data for fiscal years 1975 to 1999 are used to analyze the impact of idiosyncratic shocks to regional income. The results indicate that about 20 percent of idiosyncratic shocks to regional income are absorbed by inter-regional income insurance through the capital market, about 10 percent is absorbed by the national government through the inter-regional tax transfer system, and about 60 percent is absorbed as a result of changes in saving and dissaving.

Suggested Citation

  • Fujiki, Hiroshi & Nakakuki, Masayuki, 2005. "Asymmetric Shocks and Regional Risk Sharing: Evidence from Japan," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 23(2), pages 31-60, May.
  • Handle: RePEc:ime:imemes:v:23:y:2005:i:2:p:31-60
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    Citations

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    Cited by:

    1. Eiji Fujii, 2017. "Government Size, Trade Openness, and Output Volatility: A Case of fully Integrated Economies," Open Economies Review, Springer, vol. 28(4), pages 661-684, September.
    2. Masaru Inaba & Keisuke Otsu, 2016. "Regional Business Cycle and Growth Features of Japan," CIRJE F-Series CIRJE-F-1005, CIRJE, Faculty of Economics, University of Tokyo.

    More about this item

    JEL classification:

    • H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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