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Matching Function For The Japanese Labour Market: Random Or Stock–Flow?

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  • Masaru Sasaki

Abstract

This paper estimates outflow equations for the unemployed and job vacancies under random and stock–flow matching using Japanese data. We find that for the outflow of the unemployed, the stock–flow matching model fits better than the random matching model at the quarterly frequency, but not at the monthly frequency. In contrast, the outflow of vacancies is affected by the stock of the unemployed as well as its inflow at both monthly and quarterly frequencies. In addition, we calculate the exit rates of the unemployed and job vacancies to show the relationship between the exit rates and the durations of unemployment and job vacancies.

Suggested Citation

  • Masaru Sasaki, 2008. "Matching Function For The Japanese Labour Market: Random Or Stock–Flow?," Bulletin of Economic Research, Wiley Blackwell, vol. 60(2), pages 209-230, April.
    • Handle: RePEc:bla:buecrs:v:60:y:2008:i:2:p:209-230
    DOI: 10.1111/j.0307-3378.2008.00275.x
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    References listed on IDEAS

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    1. Coles, Melvyn G & Petrongolo, Barbara, 2002. "A Test Between Unemployment Theories Using Matching Data," CEPR Discussion Papers 3241, C.E.P.R. Discussion Papers.
    2. Ricardo Lagos, 2000. "An Alternative Approach to Search Frictions," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 851-873, October.
    3. Christopher A. Pissarides & Barbara Petrongolo, 2001. "Looking into the Black Box: A Survey of the Matching Function," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 390-431, June.
    4. Layard, Richard & Nickell, Stephen & Jackman, Richard, 2005. "Unemployment: Macroeconomic Performance and the Labour Market," OUP Catalogue, Oxford University Press, number 9780199279173, Decembrie.
    5. Coles, Melvyn G & Smith, Eric, 1998. "Marketplaces and Matching," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(1), pages 239-254, February.
    6. Berman, Eli, 1997. "Help Wanted, Job Needed: Estimates of a Matching Function from Employment Service Data," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 251-292, January.
    7. Kenneth Burdett & Shouyong Shi & Randall Wright, 2001. "Pricing and Matching with Frictions," Journal of Political Economy, University of Chicago Press, vol. 109(5), pages 1060-1085, October.
    8. Melvyn G. Coles & Abhinay Muthoo, 1998. "Strategic Bargaining and Competitive Bidding in a Dynamic Market Equilibrium," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 235-260.
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    Cited by:

    1. Higashi, Yudai, 2018. "Spatial spillovers in job matching: Evidence from the Japanese local labor markets," Journal of the Japanese and International Economies, Elsevier, vol. 50(C), pages 1-15.
    2. Lin, Ching-Yang & Miyamoto, Hiroaki, 2012. "Gross worker flows and unemployment dynamics in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 26(1), pages 44-61.
    3. Miyamoto, Hiroaki, 2011. "Cyclical behavior of unemployment and job vacancies in Japan," Japan and the World Economy, Elsevier, vol. 23(3), pages 214-225.
    4. Masaru Sasaki & Miki Kohara & Tomohiro Machikita, 2013. "Measuring Search Frictions Using Japanese Microdata," The Japanese Economic Review, Japanese Economic Association, vol. 64(4), pages 431-451, December.
    5. Leonardo Fabio Morales & Eleonora Dávalos & Raquel Zapata, 2023. "Estimating Vacancy Stocks from Aggregated Data on Hires: A Methodology to Study Frictions in the Labor Market," Borradores de Economia 1228, Banco de la Republica de Colombia.

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