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Econometric analysis of the employment of persons with disabilities in prefectural boards of education

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  • Kenichi Kuromiya

    (Nagoya University)

Abstract

The employment of persons with disabilities is one of the most critical Work Style Reforms required to realize the “Dynamic Engagement of All Citizens.” While various measures are being taken in Japan to create an active society, it was discovered that many public institutions had disguised the employment rate of persons with disabilities by inflating the number of persons with disabilities. Further, it was revealed that the employment of persons with disabilities by prefectural boards of education had not progressed. This study analyzes undisguised data on the employment rate of persons with disabilities using a spatial econometric model and clarifies the effects of prefectural socio-economic characteristics on the employment of persons with disabilities. This study also evaluates the interrelationship of disability employment rates between prefectures and elucidates the existence of spatial autocorrelation.

Suggested Citation

  • Kenichi Kuromiya, 2022. "Econometric analysis of the employment of persons with disabilities in prefectural boards of education," International Journal of Economic Policy Studies, Springer, vol. 16(2), pages 423-441, August.
  • Handle: RePEc:spr:ijoeps:v:16:y:2022:i:2:d:10.1007_s42495-022-00088-3
    DOI: 10.1007/s42495-022-00088-3
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    References listed on IDEAS

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    1. Arjen J.E. Edzes & Richard Rijnks & Jouke Dijk, 2013. "Spatial Implications of Using Firm Level Quotas to Employ Low Productive Workers," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 104(5), pages 621-629, December.
    2. James LeSage & Matthew Dominguez, 2012. "The importance of modeling spatial spillovers in public choice analysis," Public Choice, Springer, vol. 150(3), pages 525-545, March.
    3. James P. LeSage, 2014. "What Regional Scientists Need to Know about Spatial Econometrics," The Review of Regional Studies, Southern Regional Science Association, vol. 44(1), pages 13-32, Spring.
    4. Mori, Yuko & Sakamoto, Norihito, 2018. "Economic consequences of employment quota system for disabled people: Evidence from a regression discontinuity design in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 48(C), pages 1-14.
    5. Burridge, Peter, 2011. "A research agenda on general-to-specific spatial model search," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 71-90.
    6. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    7. James P. LeSage & R. Kelley Pace, 2018. "Spatial econometric Monte Carlo studies: raising the bar," Empirical Economics, Springer, vol. 55(1), pages 17-34, August.
    8. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
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    More about this item

    Keywords

    Employment rate; Persons with disabilities; Local governments; Spatial regression model; Maximum likelihood method;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • H73 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Interjurisdictional Differentials and Their Effects
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare

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