IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/22022.html

Spatial Gaps in Minimum Wages and Job Search of Young Workers

Author

Listed:
  • Nobuaki HAMAGUCHI
  • Keisuke KONDO

Abstract

This study examines the extent to which spatial gaps in real minimum wages affect the location choice in job search of new high school graduates in Japan. We exploit the exogenous shock related to the 2007 amendment of the Minimum Wage Act which expanded variations in real minimum wage between urban and rural prefectures. We propose Bartik-like instruments for differential exposure to these shocks to perform a causal inference of the impact of spatial gaps in real minimum wages on the location choice in job search of unskilled young workers. Our estimation results show that the real minimum wage gaps partially motivate job search outside resident prefectures. Our counterfactual evaluation for the uniform minimum wage across prefectures shows that approximately 10-25% of new high school graduates in rural prefectures seek jobs outside their resident prefectures even under the uniform minimum wage setting. This result suggests that the simple correlation overestimates the impact of minimum wage on outmigration because other factors than wages such as urban amenity may explain spatial behavior in job search.

Suggested Citation

  • Nobuaki HAMAGUCHI & Keisuke KONDO, 2022. "Spatial Gaps in Minimum Wages and Job Search of Young Workers," Discussion papers 22022, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:22022
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/22e022.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    2. David Neumark & J. M. Ian Salas & William Wascher, 2014. "Revisiting the Minimum Wage—Employment Debate: Throwing Out the Baby with the Bathwater?," ILR Review, Cornell University, ILR School, vol. 67(3_suppl), pages 608-648, May.
    3. Qu, Xi & Lee, Lung-fei, 2015. "Estimating a spatial autoregressive model with an endogenous spatial weight matrix," Journal of Econometrics, Elsevier, vol. 184(2), pages 209-232.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lin, Yanli & Song, Yichun, 2025. "Addressing endogeneity issues in a spatial autoregressive model using copulas," Journal of Econometrics, Elsevier, vol. 252(PA).
    2. Pu, Dan & Fang, Kuangnan & Lan, Wei & Yu, Jihai & Zhang, Qingzhao, 2024. "Multivariate spatiotemporal models with low rank coefficient matrix," Journal of Econometrics, Elsevier, vol. 246(1).
    3. Chen, Na & Jin, Xiu, 2023. "Cross-industry asset allocation with the spatial interaction on multiple risk transmission channels," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    4. Marchingiglio, Riccardo & Poyker, Michael, 2019. "The Employment Effects of Gender-Specific Minimum Wage," Working Papers 290, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    5. Brady P. Horn & Johanna Catherine Maclean & Michael R. Strain, 2017. "Do Minimum Wage Increases Influence Worker Health?," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1986-2007, October.
    6. Robayo,Monica & Terskaya,Anastasia & Koettl-Brodmann,Stefanie, 2020. "Ex-ante Evaluation of the Impact of Increases in Minimum Wages on Labor Market Outcomes in Kosovo," Policy Research Working Paper Series 9357, The World Bank.
    7. Li, Kunpeng & Lin, Wei, 2024. "Threshold spatial autoregressive model," Journal of Econometrics, Elsevier, vol. 244(1).
    8. Bustos, Emil, 2024. "Collectively Bargained Wages and Female Earnings: Evidence from Swedish Local Governments," Working Paper Series 1494, Research Institute of Industrial Economics.
    9. Kunaschk, Max, 2024. "The effects of minimum wages on employment and prices—Evidence from the hairdressing sector," Labour Economics, Elsevier, vol. 88(C).
    10. Maria Lucia Parrella & Giuseppina Albano & Cira Perna & Michele La Rocca, 2021. "Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets," Computational Statistics, Springer, vol. 36(4), pages 2917-2938, December.
    11. Marjan Petreski & Tereza KÐ¾Ñ ovska, 2018. "Regulatory impact assessment of the changes in the Minimum Wage Law," Finance Think Policy Studies 2018-10/17, Finance Think - Economic Research and Policy Institute.
    12. Ding, Tao & Li, Jiangyuan & Shi, Xing & Li, Xuhui & Chen, Ya, 2023. "Is artificial intelligence associated with carbon emissions reduction? Case of China," Resources Policy, Elsevier, vol. 85(PB).
    13. William LaFiandra & Daniel Schwab, 2023. "A higher minimum wage promotes workplace safety: Evidence from the restaurant industry," Working Papers 2301, College of the Holy Cross, Department of Economics.
    14. Lordan, Grace & Neumark, David, 2018. "People versus machines: The impact of minimum wages on automatable jobs," Labour Economics, Elsevier, vol. 52(C), pages 40-53.
    15. Josip Lesica, 2018. "Lobbying For Minimum Wages," Economic Inquiry, Western Economic Association International, vol. 56(4), pages 2027-2057, October.
    16. Lenhart, Otto, 2021. "The effects of minimum wages on teenage birth rates," Economics Letters, Elsevier, vol. 198(C).
    17. Yamaguchi, Masao, 2017. "Stagnation and minimum wage: Optimal minimum wage policy in macroeconomics," MPRA Paper 80359, University Library of Munich, Germany.
    18. Lordan, Grace & Neumark, David, 2017. "People versus machines: the impact of minimum wages on automatable," LSE Research Online Documents on Economics 84060, London School of Economics and Political Science, LSE Library.
    19. Luis Orea & Alan Wall & Roberto Balado-Naves, 2026. "Recent developments in spatial stochastic frontier models," Efficiency Series Papers 2026/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    20. Roy E. Bailey & Timothy J. Hatton & Kris Inwood, 2016. "Atmospheric Pollution and Child Health in Late Nineteenth Century Britain," CEH Discussion Papers 052, Centre for Economic History, Research School of Economics, Australian National University.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eti:dpaper:22022. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.