IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/17077.html
   My bibliography  Save this paper

Are Part-time Employees Underpaid or Overpaid? Productivity–wage gaps in Japan

Author

Listed:
  • MORIKAWA Masayuki

Abstract

This study presents empirical findings on productivity-wage gaps among certain groups of Japanese employees. More specifically, we estimate the productivity and wage equations of part-time workers, females, and employees with a university education in order to determine whether they are underpaid or overpaid relative to their productivity. The results indicate that the wage levels of part-time workers and females reflect their contribution to firm productivity. Since the estimations are based on mean values, overpaid and underpaid workers may co-exist at the micro level. However, the parity between mean productivity and wages suggests that firms do not discriminate against these types of employees, and set wages efficiently under market competition. In order to reduce the overall inequality in wages, investments in human capital to enhance the productivity of the lower end of the productivity distribution are essential.

Suggested Citation

  • MORIKAWA Masayuki, 2017. "Are Part-time Employees Underpaid or Overpaid? Productivity–wage gaps in Japan," Discussion papers 17077, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:17077
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/17e077.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nishimura, Kiyohiko G. & Nakajima, Takanobu & Kiyota, Kozo, 2005. "Does the natural selection mechanism still work in severe recessions?: Examination of the Japanese economy in the 1990s," Journal of Economic Behavior & Organization, Elsevier, vol. 58(1), pages 53-78, September.
    2. Hellerstein, Judith K & Neumark, David, 1999. "Sex, Wages, and Productivity: An Empirical Analysis of Israeli Firm-Level Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(1), pages 95-123, February.
    3. Pekka Ilmakunnas & Mika Maliranta & Jari Vainiomäki, 2004. "The Roles of Employer and Employee Characteristics for Plant Productivity," Journal of Productivity Analysis, Springer, vol. 21(3), pages 249-276, May.
    4. Garnero, Andrea & Kampelmann, Stephan & Rycx, François, 2013. "Part-time Work, Wages and Productivity: Evidence from Belgian Matched Panel Data," IZA Discussion Papers 7789, Institute of Labor Economics (IZA).
    5. Kawaguchi, Daiji & Mori, Yuko, 2016. "Why has wage inequality evolved so differently between Japan and the US? The role of the supply of college-educated workers," Economics of Education Review, Elsevier, vol. 52(C), pages 29-50.
    6. François Rycx & Yves Saks & Ilan Tojerow, 2015. "Does Education Raise Productivity and Wages Equally? The Moderating Roles of Age, Gender and Industry," Working Paper Research 281, National Bank of Belgium.
    7. Jozef Konings & Stijn Vanormelingen, 2015. "The Impact of Training on Productivity and Wages: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 485-497, May.
    8. Kyoji Fukao & Hyeog Ug Kwon, 2006. "Why Did Japan'S Tfp Growth Slow Down In The Lost Decade? An Empirical Analysis Based On Firm‐Level Data Of Manufacturing Firms," The Japanese Economic Review, Japanese Economic Association, vol. 57(2), pages 195-228, June.
    9. Haltiwanger, John C. & Lane, Julia I. & Spletzer, James R., 2007. "Wages, productivity, and the dynamic interaction of businesses and workers," Labour Economics, Elsevier, vol. 14(3), pages 575-602, June.
    10. Stacey H. Chen, 2008. "Estimating the Variance of Wages in the Presence of Selection and Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 275-289, May.
    11. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    12. Pekka Ilmakunnas & Mika Maliranta, 2005. "Technology, Labour Characteristics and Wage‐productivity Gaps," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(5), pages 623-645, October.
    13. Judith K. Hellerstein & David Neumark, 2007. "Production Function and Wage Equation Estimation with Heterogeneous Labor: Evidence from a New Matched Employer-Employee Data Set," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 31-71, National Bureau of Economic Research, Inc.
    14. Cristian Bartolucci, 2014. "Understanding the Native–Immigrant Wage Gap Using Matched Employer-Employee Data," ILR Review, Cornell University, ILR School, vol. 67(4), pages 1166-1202, October.
    15. Vandenberghe, V., 2013. "Are firms willing to employ a greying and feminizing workforce?," Labour Economics, Elsevier, vol. 22(C), pages 30-46.
    16. Morikawa, Masayuki, 2016. "Factoryless goods producers in Japan," Japan and the World Economy, Elsevier, vol. 40(C), pages 9-15.
    17. Hellerstein, Judith K & Neumark, David & Troske, Kenneth R, 1999. "Wages, Productivity, and Worker Characteristics: Evidence from Plant-Level Production Functions and Wage Equations," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 409-446, July.
    18. Daiji Kawaguchi, 2004. "Male-Female Wage and Productivity Differentials: A Structural Approach Using Japanese Firm-Level Panel Data," Econometric Society 2004 Australasian Meetings 303, Econometric Society.
    19. Judith K. Hellerstein & David Neumark, 1995. "Are Earnings Profiles Steeper Than Productivity Profiles? Evidence from Israeli Firm-Level Data," Journal of Human Resources, University of Wisconsin Press, vol. 30(1), pages 89-112.
    20. Kawaguchi, Daiji & Kwon, HyeogUg & Shimizutani, Satoshi & Fukao, Kyoji & Makino, Tatsuji & Yokoyama, Izumi & Kambayashi, Ryo & Kim, YoungGak, 2007. "Are Wage‐tenure Profiles Steeper than Productivity‐tenure Profiles?―Evidence from Japanese Establishment Data from the Census of Manufacturers and the Basic Survey Wage Structure―," Economic Review, Hitotsubashi University, vol. 58(1), pages 61-90, January.
    21. repec:eee:labchp:v:1:y:1986:i:c:p:525-602 is not listed on IDEAS
    22. Thomas Lemieux, 2006. "Increasing Residual Wage Inequality: Composition Effects, Noisy Data, or Rising Demand for Skill?," American Economic Review, American Economic Association, vol. 96(3), pages 461-498, June.
    23. MORIKAWA Masayuki, 2016. "Factoryless Goods Producers in Japan (Japanese)," Discussion Papers (Japanese) 16006, Research Institute of Economy, Trade and Industry (RIETI).
    24. François Rycx & Andrea Garnero & Stephan Kampelmann, 2014. "part-time work, Wages and Productivity :Evidence from Matched panel data," ULB Institutional Repository 2013/245672, ULB -- Universite Libre de Bruxelles.
    25. Andrea Garnero & Stephan Kampelmann & François Rycx, 2014. "Part-Time Work, Wages, and Productivity," ILR Review, Cornell University, ILR School, vol. 67(3), pages 926-954, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Morikawa, Masayuki, 2021. "Employer-provided training and productivity: Evidence from a panel of Japanese Firms," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).

    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. Valentine Jacobs & Kevin Pineda-Hernández & François Rycx & Mélanie Volral, 2023. "Does over-education raise productivity and wages equally? The moderating role of workers’ origin and immigrants’ background," Education Economics, Taylor & Francis Journals, vol. 31(6), pages 698-724, November.
    2. Stephan Kampelmann & Benoit Mahy & François Rycx & Guillaume Vermeylen, 2016. "Who is your perfect match? Educational norms, educational mismatch and firm profitability," Working Papers CEB 16-050, ULB -- Universite Libre de Bruxelles.
    3. Stephan Kampelmann & François Rycx & Yves Saks & Ilan Tojerow, 2018. "Does education raise productivity and wages equally? The moderating role of age and gender," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-37, December.
    4. Börsch-Supan, Axel & Weiss, Matthias, 2016. "Productivity and age: Evidence from work teams at the assembly line," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 30-42.
    5. Andrea Garnero & Stephan Kampelmann & François Rycx, 2014. "The Heterogeneous Effects of Workforce Diversity on Productivity, Wages, and Profits," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 53(3), pages 430-477, July.
    6. Rycx, François & Saks, Yves & Tojerow, Ilan, 2016. "Misalignment of Productivity and Wages across Regions? Evidence from Belgian Matched Panel Data," IZA Discussion Papers 10336, Institute of Labor Economics (IZA).
    7. François Rycx & Yves Saks & Ilan Tojerow, 2015. "Does Education Raise Productivity and Wages Equally? The Moderating Roles of Age, Gender and Industry," Working Paper Research 281, National Bank of Belgium.
    8. Benoît Mahy & François Rycx & Guillaume Vermeylen & Mélanie Volral, 2018. "Productivity, wages and profits: Does firms’ position in the value chain matter?," Working Paper Research 358, National Bank of Belgium.
    9. Eleonora Bartoloni & Andrea Marino & Maurizio Baussola & Davide Romaniello, 2023. "Urban Non-urban Agglomeration Divide: Is There a Gap in Productivity and Wages?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(2), pages 789-827, July.
    10. Pekka Ilmakunnas & Mika Maliranta, 2016. "How does the age structure of worker flows affect firm performance?," Journal of Productivity Analysis, Springer, vol. 46(1), pages 43-62, August.
    11. Stephan Kampelmann & François Rycx, 2016. "Wage discrimination against immigrants: measurement with firm-level productivity data," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-24, December.
    12. Romina Giuliano & Stephan Kampelmann & Benoît Mahy & François Rycx, 2017. "Short Notice, Big Difference? The Effect of Temporary Employment on Firm Competitiveness across Sectors," British Journal of Industrial Relations, London School of Economics, vol. 55(2), pages 421-449, June.
    13. Elena Grinza & Stephan Kampelmann & François Rycx, 2020. "L’union fait la force? Evidence for wage discrimination in firms with high diversity," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(2), pages 181-211, June.
    14. Andrea Garnero & François Rycx & Isabelle Terraz, 2020. "Productivity and Wage Effects of Firm‐Level Collective Agreements: Evidence from Belgian Linked Panel Data," British Journal of Industrial Relations, London School of Economics, vol. 58(4), pages 936-972, December.
    15. Tatsuyoshi Miyakoshi & Pekka Ilmakunnas, 2009. "What decreases the TFP ? The aging labor and ICT imbalance," Discussion Papers in Economics and Business 09-03, Osaka University, Graduate School of Economics.
    16. Francesco Devicienti & Elena Grinza & Davide Vannoni, 2015. "The Impact of Part-Time Work on Firm Total Factor Productivity: Evidence from Italy," Carlo Alberto Notebooks 433, Collegio Carlo Alberto.
    17. V. Vandenberghe & F. Waltenberg & M. Rigo, 2013. "Ageing and employability. Evidence from Belgian firm-level data," Journal of Productivity Analysis, Springer, vol. 40(1), pages 111-136, August.
    18. Stephan Brunow & Georg Hirte, 2009. "The age pattern of human capital and regional productivity: A spatial econometric study on german regions," Papers in Regional Science, Wiley Blackwell, vol. 88(4), pages 799-823, November.
    19. Vegard Skirbekk, 2004. "Age and Individual Productivity: A Literature Survey," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 2(1), pages 133-154.
    20. Paul Hek & Daniel Vuuren, 2011. "Are older workers overpaid? A literature review," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 18(4), pages 436-460, August.

    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:17077. 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.