IDEAS home Printed from https://ideas.repec.org/a/spr/demogr/v53y2016i4d10.1007_s13524-016-0481-y.html
   My bibliography  Save this article

Fitting Age-Period-Cohort Models Using the Intrinsic Estimator: Assumptions and Misapplications

Author

Listed:
  • Ryan K. Masters

    (University of Colorado at Boulder)

  • Daniel A. Powers

    (University of Texas at Austin)

  • Robert A. Hummer

    (University of North Carolina–Chapel Hill)

  • Audrey Beck

    (San Diego State University)

  • Shih-Fan Lin

    (San Diego State University)

  • Brian Karl Finch

    (University of Southern California)

Abstract

No abstract is available for this item.

Suggested Citation

  • Ryan K. Masters & Daniel A. Powers & Robert A. Hummer & Audrey Beck & Shih-Fan Lin & Brian Karl Finch, 2016. "Fitting Age-Period-Cohort Models Using the Intrinsic Estimator: Assumptions and Misapplications," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1253-1259, August.
    • Handle: RePEc:spr:demogr:v:53:y:2016:i:4:d:10.1007_s13524-016-0481-y
    DOI: 10.1007/s13524-016-0481-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13524-016-0481-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13524-016-0481-y?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Ryan Masters & Robert Hummer & Daniel Powers & Audrey Beck & Shih-Fan Lin & Brian Finch, 2014. "Long-Term Trends in Adult Mortality for U.S. Blacks and Whites: An Examination of Period- and Cohort-Based Changes," Demography, Springer;Population Association of America (PAA), vol. 51(6), pages 2047-2073, December.
    3. Liying Luo, 2013. "Assessing Validity and Application Scope of the Intrinsic Estimator Approach to the Age-Period-Cohort Problem," Demography, Springer;Population Association of America (PAA), vol. 50(6), pages 1945-1967, 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. Enrique Acosta & Alyson van Raalte, 2019. "APC curvature plots: Displaying nonlinear age-period-cohort patterns on Lexis plots," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(42), pages 1205-1234.
    2. Gustavo De Santis & Massimo Mucciardi, 2017. "From Euclidean distances to APC models," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 829-846, March.
    3. Ryan Masters & Daniel Powers, 2020. "Clarifying assumptions in age-period-cohort analyses and validating results," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-21, October.

    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. Manfred Grotenhuis & Ben Pelzer & Liying Luo & Alexander W. Schmidt-Catran, 2016. "The Intrinsic Estimator, Alternative Estimates, and Predictions of Mortality Trends: A Comment on Masters, Hummer, Powers, Beck, Lin, and Finch," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1245-1252, August.
    2. Gustavo De Santis & Massimo Mucciardi, 2017. "From Euclidean distances to APC models," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 829-846, March.
    3. Enrique Acosta & Alyson van Raalte, 2019. "APC curvature plots: Displaying nonlinear age-period-cohort patterns on Lexis plots," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(42), pages 1205-1234.
    4. Okoampah, Sarah, 2016. "Cohort size effects on wages, working status, and work time," Ruhr Economic Papers 629, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Ryan Masters & Robert Hummer & Daniel Powers & Audrey Beck & Shih-Fan Lin & Brian Finch, 2014. "Long-Term Trends in Adult Mortality for U.S. Blacks and Whites: An Examination of Period- and Cohort-Based Changes," Demography, Springer;Population Association of America (PAA), vol. 51(6), pages 2047-2073, December.
    6. Haoyu Wen & Cong Xie & Lu Wang & Fang Wang & Yafeng Wang & Xiaoxue Liu & Chuanhua Yu, 2019. "Difference in Long-Term Trends in COPD Mortality between China and the U.S., 1992–2017: An Age–Period–Cohort Analysis," IJERPH, MDPI, vol. 16(9), pages 1-15, April.
    7. Maarten J. Bijlsma & Rhian M. Daniel & Fanny Janssen & Bianca L. De Stavola, 2017. "An Assessment and Extension of the Mechanism-Based Approach to the Identification of Age-Period-Cohort Models," Demography, Springer;Population Association of America (PAA), vol. 54(2), pages 721-743, April.
    8. Enrique Acosta & Alain Gagnon & Nadine Ouellette & Robert R. Bourbeau & Marilia R. Nepomuceno & Alyson A. van Raalte, 2020. "The boomer penalty: excess mortality among baby boomers in Canada and the United States," MPIDR Working Papers WP-2020-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    9. Bent Nielsen, 2014. "Deviance analysis of age-period-cohort models," Economics Papers 2014-W03, Economics Group, Nuffield College, University of Oxford.
    10. Louis Chauvel & Martin Schr der, 2015. "Inequality between birth cohorts of the 20th century in West Germany, France and the US," LIS Working papers 628, LIS Cross-National Data Center in Luxembourg.
    11. Joanna N. Lahey, 2017. "Understanding Why Black Women Are Not Working Longer," NBER Chapters, in: Women Working Longer: Increased Employment at Older Ages, pages 85-109, National Bureau of Economic Research, Inc.
    12. Andrew Bell & Kelvyn Jones, 2015. "Bayesian informative priors with Yang and Land’s hierarchical age–period–cohort model," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 255-266, January.
    13. Ethan Fosse & Christopher Winship, 2019. "Bounding Analyses of Age-Period-Cohort Effects," Demography, Springer;Population Association of America (PAA), vol. 56(5), pages 1975-2004, October.
    14. Jeremy E. Fiel & Yongjun Zhang, 2018. "Three Dimensions of Change in School Segregation: A Grade-Period-Cohort Analysis," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 33-58, February.
    15. Robert Bozick, 2021. "Age, period, and cohort effects contributing to the Great American Migration Slowdown," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(42), pages 1269-1296.
    16. Schmidt, Katja, 2021. "The dynamics of attitudes toward immigrants: Cohort analyses for Western EU member states," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 62(4), pages 281-310.
    17. Qiang Fu & Kenneth Land, 2015. "The Increasing Prevalence of Overweight and Obesity of Children and Youth in China, 1989–2009: An Age–Period–Cohort Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 34(6), pages 901-921, December.
    18. Ryan Masters & Daniel Powers, 2020. "Clarifying assumptions in age-period-cohort analyses and validating results," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-21, October.
    19. Jean M. Twenge & Ryne A. Sherman & Julie J. Exline & Joshua B. Grubbs, 2016. "Declines in American Adults’ Religious Participation and Beliefs, 1972-2014," SAGE Open, , vol. 6(1), pages 21582440166, March.
    20. Tunalı, İnsan & Kırdar, Murat G. & Dayıoğlu, Meltem, 2021. "Down and up the “U” – A synthetic cohort (panel) analysis of female labor force participation in Turkey, 1988–2013," World Development, Elsevier, vol. 146(C).

    More about this item

    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:spr:demogr:v:53:y:2016:i:4:d:10.1007_s13524-016-0481-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.