IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/5qdwy.html
   My bibliography  Save this paper

Marriage Penalty: Unconditional Quantile Regression of Housework Participation in Japan

Author

Listed:
  • Kolpashnikova, Kamila
  • Kan, Man-Yee
  • Shirakawa, Kiyomi

Abstract

We analyze cross-sectional time-use diaries from the 2011 and 2016 Survey on Time Use and Leisure Activities (Shakai Seikatsu Kihon Chosa) to investigate the association between educational level and housework participation at different quantiles. Using the unconditional quantile regression method, we test whether education is associated with less time spent on housework as the previous research on highly educated people suggests. We find that this hypothesis stands only for non-married Japanese women. On the other hand, among married Japanese women, especially those without children in higher deciles of housework participation, are more likely to increase their participation in housework with the increase in their educational level. The results suggest that in Japan, the institute of marriage places higher expectations on women’s housework participation on married women with higher levels of education.

Suggested Citation

  • Kolpashnikova, Kamila & Kan, Man-Yee & Shirakawa, Kiyomi, 2019. "Marriage Penalty: Unconditional Quantile Regression of Housework Participation in Japan," OSF Preprints 5qdwy, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:5qdwy
    DOI: 10.31219/osf.io/5qdwy
    as

    Download full text from publisher

    File URL: https://osf.io/download/5cf8ed1b3a4d9500188ab50f/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/5qdwy?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    2. Yee Kan, Â Man & Laurie, Heather, 2016. "Gender, ethnicity and household labour in married and cohabiting couples in the UK," ISER Working Paper Series 2016-01, Institute for Social and Economic Research.
    3. Man-Yee Kan & Ekaterina Hertog, 2017. "Domestic division of labour and fertility preference in China, Japan, South Korea, and Taiwan," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(18), pages 557-588.
    4. Kamila Kolpashnikova, 2018. "American Househusbands: New Time Use Evidence of Gender Display, 2003–2016," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 1259-1277, December.
    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. Kolpashnikova, Kamila & Chiba, Ryota & Shirakawa, Kiyomi, 2019. "Socioeconomic Status and Housework: Cultural Differences in Participation in Routine Housework in Japan, Canada, and the US," OSF Preprints 9tfce, Center for Open Science.
    2. Man-Yee Kan & Ekaterina Hertog & Kamila Kolpashnikova, 2019. "Housework share and fertility preference in four East Asian countries in 2006 and 2012," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(35), pages 1021-1046.
    3. Kolpashnikova, Kamila & Kan, Man-Yee & Shirakawa, Kiyomi, 2019. "Marriage and Housework: Analyzing the Effects of Education Using the 2011 and 2016 Japanese Survey on Time Use and Leisure Activities," MPRA Paper 94670, University Library of Munich, Germany.

    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. Kamila Kolpashnikova & Man-Yee Kan, 2020. "Unconditional Quantile Regression Approach: Effects of Education on Housework Time in the US and Japan," Social Sciences, MDPI, vol. 9(12), pages 1-15, December.
    2. Kolpashnikova, Kamila & Kan, Man-Yee & Shirakawa, Kiyomi, 2019. "Marriage and Housework: Analyzing the Effects of Education Using the 2011 and 2016 Japanese Survey on Time Use and Leisure Activities," MPRA Paper 94670, University Library of Munich, Germany.
    3. Man-Yee Kan & Ekaterina Hertog & Kamila Kolpashnikova, 2019. "Housework share and fertility preference in four East Asian countries in 2006 and 2012," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(35), pages 1021-1046.
    4. Korom, Philipp, 2016. "Inherited advantage: The importance of inheritance for private wealth accumulation in Europe," MPIfG Discussion Paper 16/11, Max Planck Institute for the Study of Societies.
    5. Joanna Tyrowicz & Lucas van der Velde, 2017. "When the opportunity knocks: large structural shocks and gender wage gaps," GRAPE Working Papers 2, GRAPE Group for Research in Applied Economics.
    6. Michele Raitano & Francesco Vona & Claudia Vittori, 2015. "The effect of parental background along the son's earnings distribution : does one model fit for all?," Working Papers hal-03459749, HAL.
    7. Wang, Zheng-Xin & Jv, Yue-Qi, 2023. "Revisiting income inequality among households: New evidence from the Chinese Household Income Project," China Economic Review, Elsevier, vol. 81(C).
    8. Valentine Fays & Benoît Mahy & François Rycx, 2023. "Wage differences according to workers' origin: The role of working more upstream in GVCs," LABOUR, CEIS, vol. 37(2), pages 319-342, June.
    9. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    10. Holmes, Craig & Mayhew, Ken, 2015. "Have UK Earnings Distributions Polarised?," INET Oxford Working Papers 2015-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    11. Barbara S. Okun & Liat Raz‐Yurovich, 2019. "Housework, Gender Role Attitudes, and Couples' Fertility Intentions: Reconsidering Men's Roles in Gender Theories of Family Change," Population and Development Review, The Population Council, Inc., vol. 45(1), pages 169-196, March.
    12. Sieds, 2017. "Complete Volume LXXI n. 3 2017," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 71(3), pages 1-150, July-Sept.
    13. Francis,David C. & Kubinec ,Robert, 2022. "Beyond Political Connections : A Measurement Model Approach to Estimating Firm-levelPolitical Influence in 41 Economies," Policy Research Working Paper Series 10119, The World Bank.
    14. Xiaoying Liu & Jere R. Behrman & Emily Hannum & Fan Wang & Qingguo Zhao, 2022. "Same environment, stratified impacts? Air pollution, extreme temperatures, and birth weight in south China," Papers 2204.00219, arXiv.org.
    15. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    16. Sergio Longobardi & Margherita Maria Pagliuca & Andrea Regoli, 2018. "Can problem-solving attitudes explain the gender gap in financial literacy? Evidence from Italian students’ data," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1677-1705, July.
    17. Chang, Hung-Hao & Lee, Brian & Hsieh, Yi-Ting, 2021. "Participation in afforestation programs and the distribution of forest farm income," Forest Policy and Economics, Elsevier, vol. 129(C).
    18. Deborah A. Cobb-Clark & Sonja C. Kassenboehmer & Mathias G. Sinning, 2013. "Locus of Control and Savings," Ruhr Economic Papers 0455, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    19. Peng Nie & Andrew E. Clarck & Conchita D'Ambrosio & Lanlin Ding, 2020. "Income-related health inequality in urban China (1991-2015): The role of homeownership and housing conditions," Working Papers 524, ECINEQ, Society for the Study of Economic Inequality.
    20. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.

    More about this item

    JEL classification:

    • J0 - Labor and Demographic Economics - - General
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    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:osf:osfxxx:5qdwy. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.