IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/20980.html
   My bibliography  Save this paper

Time use during the life course in the USA, Norway, and the Netherlands: a HAPC-analysis

Author

Listed:
  • Versantvoort, Maroesjka

Abstract

This paper analyses life course variations by means of Hierarchical Age-Period-Cohort-modelling (HAPC) of time use data for thee welfare states: the USA, Norway, and the Netherlands. By means of analyzing time use data insight is gained in the (relative) importance of various life spheres as paid work, household work, volunteer aid, care, anc education in and over people's life. The relevance of an integrated insight in the relation between paid work and these other life spheres seems to have grown with the introduction and (policy) application of the idea of "transitional labour markets". This paper aims to find out the relevance of age, period and cohort as underlying factors in population ageing and change. The author compares the fixed versus the random-effects model specifications for APC-analysis. The random-effects HAPC-model appears the most appropriate specification. The HAPC analyses find evidence in support of quadratic age effects on time use. Furthermore, the HAPC analyses find proof in support of the contentions in the literature that both cohort and period effects should be distinguished in life course analyses. Finally, the analyses show clear differences in time use patterns during the life course between the welfare states. These may indicate a non-negligible sensitivity for welfare policies with respect to reconciling life domains during the life course.

Suggested Citation

  • Versantvoort, Maroesjka, 2008. "Time use during the life course in the USA, Norway, and the Netherlands: a HAPC-analysis," MPRA Paper 20980, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:20980
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/20980/1/MPRA_paper_20980.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Omar Paccagnella, 2006. "Centering or Not Centering in Multilevel Models? The Role of the Group Mean and the Assessment of Group Effects," Evaluation Review, , vol. 30(1), pages 66-85, February.
    2. Yang Yang & Kenneth C. Land, 2008. "Age–Period–Cohort Analysis of Repeated Cross-Section Surveys: Fixed or Random Effects?," Sociological Methods & Research, , vol. 36(3), pages 297-326, February.
    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. Neumann, Kathleen & Stehfest, Elke & Verburg, Peter H. & Siebert, Stefan & Müller, Christoph & Veldkamp, Tom, 2011. "Exploring global irrigation patterns: A multilevel modelling approach," Agricultural Systems, Elsevier, vol. 104(9), pages 703-713.
    2. Mario Quaranta, 2016. "An Apathetic Generation? Cohorts’ Patterns of Political Participation in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(3), pages 793-812, February.
    3. Sanfo, Jean-Baptiste M.B., 2021. "Connecting family, school, gold mining community and primary school students’ reading achievements in Burkina Faso – A three-level hierarchical linear model analysis," International Journal of Educational Development, Elsevier, vol. 84(C).
    4. Sarma, Sisira & Thind, Amardeep & Chu, Man-Kee, 2011. "Do new cohorts of family physicians work less compared to their older predecessors? The evidence from Canada," Social Science & Medicine, Elsevier, vol. 72(12), pages 2049-2058, June.
    5. Beck, Audrey N. & Finch, Brian K. & Lin, Shih-Fan & Hummer, Robert A. & Masters, Ryan K., 2014. "Racial disparities in self-rated health: Trends, explanatory factors, and the changing role of socio-demographics," Social Science & Medicine, Elsevier, vol. 104(C), pages 163-177.
    6. Louis Chauvel & Martin Schr der, 2014. "Generational Inequalities and Welfare Regimes," LIS Working papers 606, LIS Cross-National Data Center in Luxembourg.
    7. Marc Callens, 2017. "Long Term Trends in Life Satisfaction, 1973–2012: Flanders in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 107-127, January.
    8. Suvi Määttä & Hanna Konttinen & Reetta Lehto & Ari Haukkala & Maijaliisa Erkkola & Eva Roos, 2018. "Preschool Environmental Factors, Parental Socioeconomic Status, and Children’s Sedentary Time: An Examination of Cross-Level Interactions," IJERPH, MDPI, vol. 16(1), pages 1-19, December.
    9. Pittau, Maria Grazia & Farcomeni, Alessio & Zelli, Roberto, 2016. "Has the attitude of US citizens towards redistribution changed over time?," Economic Modelling, Elsevier, vol. 52(PB), pages 714-724.
    10. Yu, Wei & Li, Zhuyi Angelina & Foo, Maw-Der & Sun, Shuhua, 2022. "Perceived social undermining keeps entrepreneurs up at night and disengaged the next day: The mediating role of sleep quality and the buffering role of trait resilience," Journal of Business Venturing, Elsevier, vol. 37(2).
    11. Jaspers, Esther, 2018. "Opening up on consumer materialism," Other publications TiSEM a21cb1c8-5af1-46cc-9ea0-a, Tilburg University, School of Economics and Management.
    12. Reither, Eric N. & Masters, Ryan K. & Yang, Yang Claire & Powers, Daniel A. & Zheng, Hui & Land, Kenneth C., 2015. "Should age-period-cohort studies return to the methodologies of the 1970s?," Social Science & Medicine, Elsevier, vol. 128(C), pages 356-365.
    13. Oliver Weigelt & Antje Schmitt & Christine J. Syrek & Sandra Ohly, 2021. "Exploring the Engaged Worker over Time—A Week-Level Study of How Positive and Negative Work Events Affect Work Engagement," IJERPH, MDPI, vol. 18(13), pages 1-27, June.
    14. Jonathan Kelley & M. D. R. Evans & Jennifer Lowman & Valerie Lykes, 2017. "Group-mean-centering independent variables in multi-level models is dangerous," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 261-283, January.
    15. Eyal Bar-Haim & Louis Chauvel & Anne Hartung, 2018. "More Necessary and Less Sufficient: An Age-Period-Cohort Approach to Overeducation in Comparative Perspective," LIS Working papers 734, LIS Cross-National Data Center in Luxembourg.
    16. Arestoff, Florence & Djemai, Elodie, 2016. "Women’s Empowerment Across the Life Cycle and Generations: Evidence from Sub-Saharan Africa," World Development, Elsevier, vol. 87(C), pages 70-87.
    17. Joly, Philippe, 2018. "Generations and protest in Eastern Germany: Between revolution and apathy," Discussion Papers, Research Unit: Democracy and Democratization SP V 2018-101, WZB Berlin Social Science Center.
    18. Zajacova, Anna & Hummer, Robert A., 2009. "Gender differences in education effects on all-cause mortality for white and black adults in the United States," Social Science & Medicine, Elsevier, vol. 69(4), pages 529-537, August.
    19. Sarma, Sisira & Devlin, Rose Anne & Thind, Amardeep & Chu, Man-Kee, 2012. "Canadian family physicians’ decision to collaborate: Age, period and cohort effects," Social Science & Medicine, Elsevier, vol. 75(10), pages 1811-1819.
    20. Delaruelle, Katrijn & Buffel, Veerle & Bracke, Piet, 2015. "Educational expansion and the education gradient in health: A hierarchical age-period-cohort analysis," Social Science & Medicine, Elsevier, vol. 145(C), pages 79-88.

    More about this item

    Keywords

    Age-Period-Cohort analysis; hierarchical linear modeling; life course; time use; welfare states;
    All these keywords.

    JEL classification:

    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:pra:mprapa:20980. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.