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Nonprofit/For-profit Facility and Difference of Wage Distribution: Evidence from the Japanese elderly care industry

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  • ITO Yutaka
  • KAWATA Keisuke
  • YIN Ting

Abstract

This paper provides new estimation results for the impacts of operator types, nonprofit or for-profit, on earnings distribution by using employee-employer matched data in the Japanese elderly care sector. The ordinary least squares (OLS) and quantile regression results show that even if workers' and operators' basic characteristics are controlled, we can observe a nonprofit premium on average and in lower quantiles. However, in higher quantiles, we observe a negative premium (penalty) of nonprofit operators. Additionally, average and quantile decomposition results represent that, on average and in each quantile, a large part of a nonprofit premium can be explained by the difference of observable characteristics, especially the license acquisition rate and worker's tenure. The quantile decomposition results additionally show that a larger part of earnings gap in high quantiles can be explained by the difference of tenure than in lower quantiles.

Suggested Citation

  • ITO Yutaka & KAWATA Keisuke & YIN Ting, 2015. "Nonprofit/For-profit Facility and Difference of Wage Distribution: Evidence from the Japanese elderly care industry," Discussion papers 15073, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:15073
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    References listed on IDEAS

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    1. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    2. Noguchi, Haruko & Shimizutani, Satoshi, 2007. "Nonprofit/for-profit status and earning differentials in the Japanese at-home elderly care industry: Evidence from micro-level data on home helpers and staff nurses," Journal of the Japanese and International Economies, Elsevier, vol. 21(1), pages 106-120, March.
    3. Chris Sakellariou, 2012. "Unconditional quantile regressions, wage growth and inequality in the Philippines, 2001--2006: the contribution of covariates," Applied Economics, Taylor & Francis Journals, vol. 44(29), pages 3815-3830, October.
    4. Ryo Kambayashi & Daiji Kawaguchi & Izumi Yokoyama, 2008. "Wage distribution in Japan, 1989-2003," Canadian Journal of Economics, Canadian Economics Association, vol. 41(4), pages 1329-1350, November.
    5. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    6. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    7. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    8. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    9. Leete, Laura, 2001. "Whither the Nonprofit Wage Differential? Estimates from the 1990 Census," Journal of Labor Economics, University of Chicago Press, vol. 19(1), pages 136-170, January.
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