IDEAS home Printed from https://ideas.repec.org/p/zbw/faulre/78.html

Self-employed individuals, time use, and earnings

Author

Listed:
  • Konietzko, Thorsten

Abstract

This paper analyzes the time allocation of self-employed men and women compared to men and women in paid employment and the impact of house-work on earnings of self-employed individuals using data from two German datasets. Self-employed women spend more time on housework activities and self-employed men spend more time on market work than their paid counterparts. While descriptive statistics and pooled OLS earnings regressions show a negative impact of time spent on housework on earnings, fixed-effects earnings regressions show only a negative impact on monthly earnings of self-employed men. This impact disappears after controlling for potential endogeneity via instrumental variable estimators.

Suggested Citation

  • Konietzko, Thorsten, 2012. "Self-employed individuals, time use, and earnings," Discussion Papers 78, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    • Handle: RePEc:zbw:faulre:78
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/66785/1/730109844.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel S. Hamermesh, 2002. "Timing, togetherness and time windfalls," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(4), pages 601-623.
    2. 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.
    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. Mujcic, Redzo & Frijters, Paul, 2013. "Still Not Allowed on the Bus: It Matters If You're Black or White!," IZA Discussion Papers 7300, Institute of Labor Economics (IZA).
    2. José de Sousa & Guillaume Hollard, 2021. "From Micro to Macro Gender Differences: Evidence from Field Tournaments," Post-Print hal-03389151, HAL.
    3. Hirsch, Boris, 2007. "Joan Robinson Meets Harold Hotelling : A Dyopsonistic Explanation of the Gender Pay Gap," Discussion Papers 51, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    4. Capucine Rauch, 2021. "Social Inequalities and the Desynchronisation of Sleep within Couples," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 522-523, pages 81-104.
    5. Ye Zhang, 2020. "Discrimination in the Venture Capital Industry: Evidence from Field Experiments," Papers 2010.16084, arXiv.org, revised Aug 2022.
    6. Thomas Buser & Muriel Niederle & Hessel Oosterbeek, 2014. "Gender, Competitiveness, and Career Choices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1409-1447.
    7. Saugato Datta & Vikram Pathania, 2016. "For whom does the phone (not) ring? Discrimination in the rental housing market in Delhi, India," WIDER Working Paper Series 055, World Institute for Development Economic Research (UNU-WIDER).
    8. Christian Pfeifer & Gesine Stephan, 2019. "Why women do not ask: gender differences in fairness perceptions of own wages and subsequent wage growth," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 43(2), pages 295-310.
    9. Kelley Sarussi & Thomas Walstrum, 2019. "Education and the Evolution of Earnings Across Population Groups Since 2000," Profitwise, Federal Reserve Bank of Chicago, issue 5, pages 1-13.
    10. Contreras, Dulce/D & Sánchez, Rosario/R & Soria, Delfina/D, 2012. "Mobility, wages and gender across Europe," MPRA Paper 42589, University Library of Munich, Germany, revised Nov 2012.
    11. Cowan, Benjamin & Schwab, Benjamin, 2016. "Employer-sponsored health insurance and the gender wage gap," Journal of Health Economics, Elsevier, vol. 45(C), pages 103-114.
    12. Ritwik Banerjee & Nabanita Datta Gupta, 2015. "Awareness Programs and Change in Taste-Based Caste Prejudice," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-17, April.
    13. David Bravo Urrutia & Sergio Urzúa & Claudia Sanhueza, 2007. "Is There Labor Market Discrimination Among Professionals In Chile? Lawyers, Doctors And Business-People," Working Papers wp264, University of Chile, Department of Economics.
    14. Benjamin Bennett & Isil Erel & Léa H. Stern & Zexi Wang, 2020. "Paid Leave Pays Off: The Effects of Paid Family Leave on Firm Performance," NBER Working Papers 27788, National Bureau of Economic Research, Inc.
    15. Lepinteur, Anthony & Flèche, Sarah & Powdthavee, Nattavudh, 2016. "My Baby Takes the Morning Train: Gender Identity, Fairness, and Relative Labor Supply Within Households," IZA Discussion Papers 10382, Institute of Labor Economics (IZA).
    16. Merz, Joachim & Burgert, Derik, 2003. "Working Hour Arrangements and Working Hours A Microeconometric Analysis Based on German Time Diary Data," MPRA Paper 5979, University Library of Munich, Germany.
    17. Bryson, Alex & Chevalier, Arnaud, 2015. "Is there a taste for racial discrimination amongst employers?," Labour Economics, Elsevier, vol. 34(C), pages 51-63.
    18. Bethany Everett & David Rehkopf & Richard Rogers, 2013. "The Nonlinear Relationship Between Education and Mortality: An Examination of Cohort, Race/Ethnic, and Gender Differences," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(6), pages 893-917, December.
    19. Collewet, M.M.F. & de Grip, A. & Koning, J.d., 2015. "Peer working time, labour supply, and happiness for male workers," ROA Research Memorandum 006, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    20. Luojia Hu & Christopher Taber, 2011. "Displacement, Asymmetric Information, and HeterogeneousHuman Capital," Journal of Labor Economics, University of Chicago Press, vol. 29(1), pages 113-152, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:zbw:faulre:78. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/vierlde.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.