IDEAS home Printed from https://ideas.repec.org/p/aiz/louvad/2017004.html
   My bibliography  Save this paper

Nonparametric double additive cure survival models: an application to the estimation of the nonlinear effect of age at first parenthood on fertility progression

Author

Listed:
  • Bremhorst, Vincent
  • Kreyenfeld, Michaela
  • Lambert, Philippe

Abstract

No abstract is available for this item.

Suggested Citation

  • Bremhorst, Vincent & Kreyenfeld, Michaela & Lambert, Philippe, 2017. "Nonparametric double additive cure survival models: an application to the estimation of the nonlinear effect of age at first parenthood on fertility progression," LIDAM Discussion Papers ISBA 2017004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvad:2017004
    as

    Download full text from publisher

    File URL: https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A183996/datastream/PDF_01/view
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bremhorst, Vincent & Lambert, Philippe, 2016. "Flexible estimation in cure survival models using Bayesian P-splines," LIDAM Reprints ISBA 2016002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Francesco C. Billari & Hans‐Peter Kohler & Gunnar Andersson & Hans Lundström, 2007. "Approaching the Limit: Long‐Term Trends in Late and Very Late Fertility," Population and Development Review, The Population Council, Inc., vol. 33(1), pages 149-170, March.
    3. Vincent Bremhorst & Michaela Kreyenfeld & Philippe Lambert, 2016. "Fertility progression in Germany: An analysis using flexible nonparametric cure survival models," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(18), pages 505-534.
    4. Carvalho Lopes, Celia Mendes & Bolfarine, Heleno, 2012. "Random effects in promotion time cure rate models," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 75-87, January.
    5. Tomáš Sobotka, 2004. "Is Lowest‐Low Fertility in Europe Explained by the Postponement of Childbearing?," Population and Development Review, The Population Council, Inc., vol. 30(2), pages 195-220, June.
    6. Ann Berrington & Juliet Stone & Eva Beaujouan, 2015. "Educational differences in timing and quantum of childbearing in Britain," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(26), pages 733-764.
    7. Bremhorst, Vincent & Kreyenfeld, Michaela & Lambert, Philippe, 2016. "Fertility progression in Germany: An analysis using flexible nonparametric cure survival models," LIDAM Reprints ISBA 2016023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    8. Li Li & Ji-Hyun Lee, 2017. "A latent promotion time cure rate model using dependent tail-free mixtures," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 891-905, June.
    9. Gunnar Andersson & Marit Rønsen & Lisbeth B. Knudsen & Trude Lappegård & Gerda Neyer & Kari Skrede & Kathrin Teschner & Andres Vikat, 2009. "Cohort fertility patterns in the Nordic countries," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(14), pages 313-352.
    10. Tomas Frejka & Jean-Paul Sardon, 2006. "First birth trends in developed countries: a cohort analysis," MPIDR Working Papers WP-2006-014, Max Planck Institute for Demographic Research, Rostock, Germany.
    11. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    12. Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
    13. Hans‐Peter Kohler & Joseph L. Rodgers & Kaare Christensen, 1999. "Is Fertility Behavior in Our Genes? Findings from a Danish Twin Study," Population and Development Review, The Population Council, Inc., vol. 25(2), pages 253-288, June.
    14. Zeng, Donglin & Yin, Guosheng & Ibrahim, Joseph G., 2006. "Semiparametric Transformation Models for Survival Data With a Cure Fraction," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 670-684, June.
    15. Lambert, Philippe, 2007. "Archimedean copula estimation using Bayesian splines smoothing techniques," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6307-6320, August.
    16. Jullion, Astrid & Lambert, Philippe, 2007. "Robust specification of the roughness penalty prior distribution in spatially adaptive Bayesian P-splines models," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2542-2558, February.
    17. Ron Lesthaeghe, 2010. "The Unfolding Story of the Second Demographic Transition," Population and Development Review, The Population Council, Inc., vol. 36(2), pages 211-251, June.
    18. Bremhorst, Vincent & Lambert, Philippe, 2016. "Flexible estimation in cure survival models using Bayesian P-splines," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 270-284.
    19. Margaret Marini & Peter Hodsdon, 1981. "Effects of the timing of marriage and first birth of the spacing of subsequent births," Demography, Springer;Population Association of America (PAA), vol. 18(4), pages 529-548, November.
    20. Tomáš Sobotka, 2008. "Overview Chapter 6: The diverse faces of the Second Demographic Transition in Europe," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(8), pages 171-224.
    21. Tomas Frejka & Jean-Paul Sardon, 2006. "First birth trends in developed countries," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(6), pages 147-180.
    22. Tamás Bartus & Lívia Murinkó & Ivett Szalma & Bernadett Szél, 2013. "The effect of education on second births in Hungary," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(1), pages 1-32.
    23. Massimiliano Bratti & Konstantinos Tatsiramos, 2012. "The effect of delaying motherhood on the second childbirth in Europe," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(1), pages 291-321, January.
    24. Mette Gerster & Niels Keiding & Lisbeth B. Knudsen & Katrine Strandberg-Larsen, 2007. "Education and second birth rates in Denmark 1981-1994," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 17(8), pages 181-210.
    25. Joshua R. Goldstein & Tomáš Sobotka & Aiva Jasilioniene, 2009. "The End of “Lowest‐Low” Fertility?," Population and Development Review, The Population Council, Inc., vol. 35(4), pages 663-699, December.
    26. Michaela Kreyenfeld, 2002. "Time Squeeze, Partner Effect or Self-Selection?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 7(2), pages 15-48.
    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. Philippe Lambert & Vincent Bremhorst, 2020. "Inclusion of time‐varying covariates in cure survival models with an application in fertility studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 333-354, January.
    2. Gressani, Oswaldo & Lambert, Philippe, 2016. "Fast Bayesian inference in semi-parametric P-spline cure survival models using Laplace approximations," LIDAM Discussion Papers ISBA 2016041, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Michaela Kreyenfeld & Dirk Konietzka & Philippe Lambert & Vincent Jerald Ramos, 2023. "Second Birth Fertility in Germany: Social Class, Gender, and the Role of Economic Uncertainty," European Journal of Population, Springer;European Association for Population Studies, vol. 39(1), pages 1-27, December.
    4. John Tomkinson, 2019. "Age at first birth and subsequent fertility: The case of adolescent mothers in France and England and Wales," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(27), pages 761-798.
    5. Lambert, Philippe & Kreyenfeld, Michaela, 2023. "Exogenous time-varying covariates in double additive cure survival model with application to fertility," LIDAM Discussion Papers ISBA 2023006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Gressani, Oswaldo & Lambert, Philippe, 2018. "Fast Bayesian inference using Laplace approximations in a flexible promotion time cure model based on P-splines," Computational Statistics & Data Analysis, Elsevier, vol. 124(C), pages 151-167.
    7. Vincent Bremhorst & Michaela Kreyenfeld & Philippe Lambert, 2016. "Fertility progression in Germany: An analysis using flexible nonparametric cure survival models," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(18), pages 505-534.
    8. Martin Klesment & Allan Puur & Leen Rahnu & Luule Sakkeus, 2014. "Varying association between education and second births in Europe," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(27), pages 813-860.
    9. Nicoletta Balbo & Francesco C. Billari & Melinda Mills, 2013. "Fertility in Advanced Societies: A Review of Research," European Journal of Population, Springer;European Association for Population Studies, vol. 29(1), pages 1-38, February.
    10. Zuzanna Brzozowska & Eva Beaujouan & Kryštof Zeman, 2022. "Is Two Still Best? Change in Parity-Specific Fertility Across Education in Low-Fertility Countries," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(5), pages 2085-2114, October.
    11. Philippe Lambert, 2023. "Comments on: Nonparametric estimation in mixture cure models with covariates," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(2), pages 506-509, June.
    12. Francesco C. Billari & Osea Giuntella & Luca Stella, 2019. "Does broadband Internet affect fertility?," Population Studies, Taylor & Francis Journals, vol. 73(3), pages 297-316, September.
    13. Irakli Japaridze & Nagham Sayour, 2024. "Housing Affordability Crisis and Delayed Fertility: Evidence from the USA," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(2), pages 1-34, April.
    14. Gunnar Andersson & Marit Rønsen & Lisbeth B. Knudsen & Trude Lappegård & Gerda Neyer & Kari Skrede & Kathrin Teschner & Andres Vikat, 2009. "Cohort fertility patterns in the Nordic countries," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(14), pages 313-352.
    15. Patricio Maturana-Russel & Renate Meyer, 2021. "Bayesian spectral density estimation using P-splines with quantile-based knot placement," Computational Statistics, Springer, vol. 36(3), pages 2055-2077, September.
    16. Kryštof Zeman & Eva Beaujouan & Zuzanna Brzozowska & Tomáš Sobotka, 2018. "Cohort fertility decline in low fertility countries: Decomposition using parity progression ratios," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(25), pages 651-690.
    17. Bremhorst, Vincent & Lambert, Philippe, 2013. "Flexible estimation in cure survival models using Bayesian P-splines," LIDAM Discussion Papers ISBA 2013039, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    18. Dirick, Lore & Claeskens, Gerda & Vasnev, Andrey & Baesens, Bart, 2022. "A hierarchical mixture cure model with unobserved heterogeneity for credit risk," Econometrics and Statistics, Elsevier, vol. 22(C), pages 39-55.
    19. Anna Matysiak, 2011. "Fertility Developments In Central And Eastern Europe: The Role Of Work–Family Tensions," Demográfia English Edition, Hungarian Demographic Research Institute, vol. 54(5), pages 7-30.
    20. Martin Klesment & Allan Puur, 2010. "Effects of education on second births before and after societal transition: Evidence from the Estonian GGS," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(28), pages 891-932.

    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:aiz:louvad:2017004. 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: Nadja Peiffer (email available below). General contact details of provider: https://edirc.repec.org/data/isuclbe.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.