IDEAS home Printed from https://ideas.repec.org/p/hit/hituec/695.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," Discussion Paper Series 695, Institute of Economic Research, Hitotsubashi University.
  • Handle: RePEc:hit:hituec:695
    as

    Download full text from publisher

    File URL: https://hermes-ir.lib.hit-u.ac.jp/hermes/ir/re/30404/DP695.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kan, Â Man Yee & 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.
    2. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    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. 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," SocArXiv 9shup, 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. 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.
    4. 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.
    5. 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.
    6. Waltl, Sofie R., 2018. "Estimating quantile-specific rental yields for residential housing in Sydney," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 204-225.
    7. Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2019. "Sibling Differences in Educational Polygenic Scores: How Do Parents React?," IZA Discussion Papers 12375, Institute of Labor Economics (IZA).
    8. Andini, Corrado, 2017. "Tertiary Education for All and Wage Inequality: Policy Insights from Quantile Regression," IZA Policy Papers 132, Institute of Labor Economics (IZA).
    9. Valentine Fays & Benoit Mahy & François Rycx, 2021. "Wage Differences According to Workers’ Origin: The Role of Working More Upstream in GVCs," Working Papers CEB 21-016, ULB -- Universite Libre de Bruxelles.
    10. 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.
    11. Mario Reinhold, 2016. "On the Link between Job Polarisation and Wage Inequality - A regional approach for Germany," ERSA conference papers ersa16p361, European Regional Science Association.
    12. Peter Fredriksson & Björn Öckert & Hessel Oosterbeek, 2013. "Long-Term Effects of Class Size," The Quarterly Journal of Economics, Oxford University Press, vol. 128(1), pages 249-285.
    13. Hayden Stewart & Jeffrey Hyman & Diansheng Dong, 2015. "Menu Labeling Fills the Gaps in Consumers’ Knowledge of the Calorie Content of Restaurant Foods," Agribusiness, John Wiley & Sons, Ltd., vol. 31(4), pages 491-506, October.
    14. Javier Alejo & Maria Florencia Gabrielli & Walter Sosa-Escudero, 2014. "The Distributive Effects of Education: An Unconditional Quantile Regression Approach," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 29(1), pages 53-76, April.
    15. Nathan Blascak & Anna Tranfaglia, 2021. "Decomposing Gender Differences in Bankcard Credit Limits," Working Papers 21-35, Federal Reserve Bank of Philadelphia.
    16. 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.
    17. 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.
    18. SOLOGON Denisa & VAN KERM Philippe & LI Jinjing & O'DONOGHUE Cathal, 2018. "Accounting for Differences in Income Inequality across Countries: Ireland and the United Kingdom," LISER Working Paper Series 2018-01, Luxembourg Institute of Socio-Economic Research (LISER).
    19. Carla Canelas & Rachel M. Gisselquist, 2018. "Human capital, labour market outcomes, and horizontal inequality in Guatemala," Oxford Development Studies, Taylor & Francis Journals, vol. 46(3), pages 378-397, July.
    20. 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).

    More about this item

    Keywords

    gender; housework; Japanese households; routine housework; unconditional quantile regression;
    All these keywords.

    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:hit:hituec:695. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/iehitjp.html .

    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: Hiromichi Miyake (email available below). General contact details of provider: https://edirc.repec.org/data/iehitjp.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.