IDEAS home Printed from https://ideas.repec.org/p/osp/wpaper/24e007.html
   My bibliography  Save this paper

The Effect of Initial Job in Japanese Labor Market

Author

Listed:
  • Ayaka Nakamura

    (Graduate School of Economics, Osaka University)

  • Katsuya Takii

    (Osaka School of International Public Policy, Osaka University)

Abstract

We investigate the effect of being a regular employee in a job which a worker takes immediately after graduation (the initial job), on subsequent job status. We construct an assignment model that can be estimated by the marginal treatment effect (MTE) framework; the model suggests that the region- and cohort-level unexpected shocks that influences the demand for full time-worker share is a valid instrument under some assumptions. Estimating the MTE, we find that the treatment effect of the initial job is heterogeneous among individuals: male workers who are less likely to obtain regular employment in the initial job enjoy benefits of stable employment; however, the regular initial job does not increase the probability of subsequent regular employment for male workers who are likely to obtain regular employment in the initial job.

Suggested Citation

  • Ayaka Nakamura & Katsuya Takii, 2024. "The Effect of Initial Job in Japanese Labor Market," OSIPP Discussion Paper 24E007, Osaka School of International Public Policy, Osaka University.
  • Handle: RePEc:osp:wpaper:24e007
    as

    Download full text from publisher

    File URL: https://www.osipp.osaka-u.ac.jp/archives/DP/2024/DP2024E007.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cornelissen, Thomas & Dustmann, Christian & Raute, Anna & Schönberg, Uta, 2016. "From LATE to MTE: Alternative methods for the evaluation of policy interventions," Labour Economics, Elsevier, vol. 41(C), pages 47-60.
    2. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    3. Esteban-Pretel, Julen & Nakajima, Ryo & Tanaka, Ryuichi, 2011. "Are contingent jobs dead ends or stepping stones to regular jobs? Evidence from a structural estimation," Labour Economics, Elsevier, vol. 18(4), pages 513-526, August.
    4. Schwandt, Hannes & von Wachter, Till, 2020. "Socioeconomic Decline and Death: Midlife Impacts of Graduating in a Recession," CEPR Discussion Papers 14325, C.E.P.R. Discussion Papers.
    5. Edward Vytlacil, 2002. "Independence, Monotonicity, and Latent Index Models: An Equivalence Result," Econometrica, Econometric Society, vol. 70(1), pages 331-341, January.
    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. Hoshino Tadao & Yanagi Takahide, 2022. "Estimating marginal treatment effects under unobserved group heterogeneity," Journal of Causal Inference, De Gruyter, vol. 10(1), pages 197-216, January.
    2. Tafti, Elena Ashtari, 2023. "Technology, Skills, and Performance: The Case of Robots in Surgery," CINCH Working Paper Series (since 2020) 78746, Duisburg-Essen University Library, DuEPublico.
    3. Akabayashi, Hideo & Ruberg, Tim & Shikishima, Chizuru & Yamashita, Jun, 2023. "Education-oriented and care-oriented preschools: Implications on child development," Labour Economics, Elsevier, vol. 84(C).
    4. Patrick Kline & Christopher R. Walters, 2019. "On Heckits, LATE, and Numerical Equivalence," Econometrica, Econometric Society, vol. 87(2), pages 677-696, March.
    5. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    6. Olivier De Groote & Koen Declercq, 2021. "Tracking and specialization of high schools: Heterogeneous effects of school choice," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 898-916, November.
    7. Hoshino, Tadao & Yanagi, Takahide, 2023. "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, vol. 236(2).
    8. Domenico Depalo, 2020. "Explaining the causal effect of adherence to medication on cholesterol through the marginal patient," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 110-126, October.
    9. Schmieder, Julia, 2021. "Fertility as a driver of maternal employment," Labour Economics, Elsevier, vol. 72(C).
    10. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    11. Alvarez, Luis A.F. & Toneto, Rodrigo, 2024. "The interpretation of 2SLS with a continuous instrument: A weighted LATE representation," Economics Letters, Elsevier, vol. 237(C).
    12. Elena Ashtari Tafti, 2022. "Technology, skills, and performance: the case of robots in surgery," IFS Working Papers W22/46, Institute for Fiscal Studies.
    13. Santiago Acerenza & Vitor Possebom & Pedro H. C. Sant'Anna, 2023. "Was Javert right to be suspicious? Marginal Treatment Effects with Duration Outcomes," Papers 2311.13969, arXiv.org, revised Apr 2025.
    14. Julia Schmieder, 2020. "Fertility as a Driver of Maternal Employment," Discussion Papers of DIW Berlin 1882, DIW Berlin, German Institute for Economic Research.
    15. David G. Lugo‐Palacios & Patrick Bidulka & Stephen O’Neill & Orlagh Carroll & Anirban Basu & Amanda Adler & Karla DíazOrdaz & Andrew Briggs & Richard Grieve, 2025. "Going beyond randomised controlled trials to assess treatment effect heterogeneity across target populations," Health Economics, John Wiley & Sons, Ltd., vol. 34(1), pages 85-104, January.
    16. Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers CWP57/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Woutersen, Tiemen & Hausman, Jerry A., 2019. "Increasing the power of specification tests," Journal of Econometrics, Elsevier, vol. 211(1), pages 166-175.
    18. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    19. David Card & David S. Lee & Zhuan Pei & Andrea Weber, 2015. "Inference on Causal Effects in a Generalized Regression Kink Design," Econometrica, Econometric Society, vol. 83, pages 2453-2483, November.
    20. Aakvik, Arild & Salvanes, Kjell G. & Vaage, Kjell, 2003. "Measuring Heterogeneity in the Returns to Education in Norway Using Educational Reforms," IZA Discussion Papers 815, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Employment stability; Initial labor market condition; MTE; Assignment model;
    All these keywords.

    JEL classification:

    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

    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:osp:wpaper:24e007. 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: Akiko Murashita (email available below). General contact details of provider: https://edirc.repec.org/data/iposujp.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.