IDEAS home Printed from https://ideas.repec.org/a/dem/demres/v24y2011i29.html
   My bibliography  Save this article

MAPLES: A general method for the estimation of age profiles from standard demographic surveys (with an application to fertility)

Author

Listed:
  • Roberto Impicciatore

    (Università di Bologna (UNIBO))

  • Francesco Billari

    (Università Bocconi)

Abstract

In this paper we present MAPLES (Method for Age Profiles Longitudinal EStimation), a general method for the estimation of age profiles that uses standard micro-level demographic survey data. The aim is to estimate smoothed age profiles and relative risks for time-fixed and time-varying covariates. MAPLES is implemented through a data processing routine and a series of regressions using GAM (Generalized Additive Models). Although the approach has been developed to be applied for living arrangements and fertility, MAPLES may be used for any kind of life event. In fact, it can be applied to every setting in which micro-level data on transitions are available from a large-scale representative survey (e.g., Demographic and Health Surveys; Fertility and Family Surveys; Generations and Gender Surveys). MAPLES is a R software package containing a set of commands that can be easily applied and that may constitute a useful tool box for demographers and social scientists. The package is available in the CRAN library http://cran.r-project.org/web/packages/MAPLES.

Suggested Citation

  • Roberto Impicciatore & Francesco Billari, 2011. "MAPLES: A general method for the estimation of age profiles from standard demographic surveys (with an application to fertility)," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(29), pages 719-748.
    • Handle: RePEc:dem:demres:v:24:y:2011:i:29
    DOI: 10.4054/DemRes.2011.24.29
    as

    Download full text from publisher

    File URL: https://www.demographic-research.org/volumes/vol24/29/24-29.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.4054/DemRes.2011.24.29?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ben D. MacArthur & Richard O. C. Oreffo, 2005. "Bridging the gap," Nature, Nature, vol. 433(7021), pages 19-19, January.
    2. Burbea, Jacob & del Castillo, Joan, 1992. "Geodesic submanifolds of statistical models with location parameters," Computational Statistics & Data Analysis, Elsevier, vol. 14(3), pages 301-313, October.
    3. Donald McNeil & T. Trullell & John Turner, 1977. "Spline interpolation of demographic oata," Demography, Springer;Population Association of America (PAA), vol. 14(2), pages 245-252, May.
    4. Carl Schmertmann, 2003. "A system of model fertility schedules with graphically intuitive parameters," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 9(5), pages 81-110.
    5. Matsuo, Hideko & Willekens, Frans, 2003. "Event histories in the Netherlands Fertility and Family Survey 1998. A technical report," Research Reports 03-01, University of Groningen, Population Research Centre (PRC).
    6. Andres Vikat & Zsolt Spéder & Gijs Beets & Francesco Billari & Christoph Bühler & Aline Désesquelles & Tineke Fokkema & Jan M. Hoem & Alphonse MacDonald & Gerda Neyer & Ariane Pailhé & Antonella Pinne, 2007. "Generations and Gender Survey (GGS)," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 17(14), pages 389-440.
    7. Anna Christina D'Addio & Michael Rosholm, "undated". "Left-Censoring in Duration Data: Theory and Applications," Economics Working Papers 2002-5, Department of Economics and Business Economics, Aarhus University.
    8. repec:dgr:rugprc:03-01 is not listed on IDEAS
    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. Nicole L. Van Der Gaag & Govert Ewout Bijwaard & Joop de Beer & Luc Bonneux, 2015. "A multistate model to project elderly disability in case of limited data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(3), pages 75-106.
    2. Frans Poppel & Niels Schenk & Ruben Gaalen, 2013. "Demographic Transitions and Changes in the Living Arrangements of Children: The Netherlands 1850–2010," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(2), pages 243-260, April.

    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. Carl Schmertmann, 2021. "D-splines: Estimating rate schedules using high-dimensional splines with empirical demographic penalties," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(45), pages 1085-1114.
    2. Gianni Corsetti & Marco Marsili, 2013. "Previsioni stocastiche della popolazione nell’ottica di un Istituto Nazionale di Statistica," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(2-3), pages 5-29.
    3. Vanessa Taylor & Sarah Ashelford & Patricia Fell & Penelope J Goacher, 2015. "Biosciences in nurse education: is the curriculum fit for practice? Lecturers' views and recommendations from across the UK," Journal of Clinical Nursing, John Wiley & Sons, vol. 24(19-20), pages 2797-2806, October.
    4. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    5. Ercan Tomakin, 2014. "Teaching English Tenses (grammar) in the Turkish Texts; A Case of Simple Present Tense: Is?l Maketi Iter," International Journal of Learning and Development, Macrothink Institute, vol. 4(1), pages 115-131, March.
    6. Peter Viggo Jakobsen, 2009. "Small States, Big Influence: The Overlooked Nordic Influence on the Civilian ESDP," Journal of Common Market Studies, Wiley Blackwell, vol. 47(1), pages 81-102, January.
    7. Jenny Gierveld & Pearl A. Dykstra & Niels Schenk, 2012. "Living arrangements, intergenerational support types and older adult loneliness in Eastern and Western Europe," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 27(7), pages 167-200.
    8. Radha Jagannathan & Michael J. Camasso & Bagavan Das & Jale Tosun & Sadagopan Iyengar, 2017. "Family, society and the individual: determinants of entrepreneurial attitudes among youth in Chennai, South India," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 7(1), pages 1-22, December.
    9. Tautenhahn, Susanne & Heilmeier, Hermann & Jung, Martin & Kahl, Anja & Kattge, Jens & Moffat, Antje & Wirth, Christian, 2012. "Beyond distance-invariant survival in inverse recruitment modeling: A case study in Siberian Pinus sylvestris forests," Ecological Modelling, Elsevier, vol. 233(C), pages 90-103.
    10. Vincenzo Galasso, 2020. "Market Reactions to Quest for Decentralization and Independence: Evidence from Catalonia," CESifo Working Paper Series 8254, CESifo.
    11. Thijs Fassaert & Matty A.S. De Wit & Wilco C. Tuinebreijer & Jeroen W. Knipscheer & Arnoud P. Verhoeff & Aartjan T.F. Beekman & Jack Dekker, 2011. "Acculturation and Psychological Distress Among Non-Western Muslim Migrants - a Population-Based Survey," International Journal of Social Psychiatry, , vol. 57(2), pages 132-143, March.
    12. Jakub Bijak & Jason D. Hilton & Eric Silverman & Viet Dung Cao, 2013. "Reforging the Wedding Ring," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(27), pages 729-766.
    13. Philippe De Donder & Michel Le Breton & Eugenio Peluso, 2012. "Majority Voting in Multidimensional Policy Spaces: Kramer–Shepsle versus Stackelberg," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 14(6), pages 879-909, December.
    14. Grace Kite, 2014. "Linked in? Software and Information Technology Services in India’s Economic Development," Journal of South Asian Development, , vol. 9(2), pages 99-119, August.
    15. Zsolt Spéder & Balázs Kapitány, 2009. "How are Time-Dependent Childbearing Intentions Realized? Realization, Postponement, Abandonment, Bringing Forward," European Journal of Population, Springer;European Association for Population Studies, vol. 25(4), pages 503-523, November.
    16. Spyros Arvanitis & Ursina Kubli & Martin Woerter, 2006. "University-Industry Knowledge Interaction in Switzerland: What University Scientists Think about Co-operation with Private Enterprises," KOF Working papers 06-132, KOF Swiss Economic Institute, ETH Zurich.
    17. Falco, Paolo & Zaccagni, Sarah, 2020. "Promoting social distancing in a pandemic: Beyond the good intentions," OSF Preprints a2nys, Center for Open Science.
    18. León, Esperanza & Steele, Miriam & Palacios, Jesús & Román, Maite & Moreno, Carmen, 2018. "Parenting adoptive children: Reflective functioning and parent-child interactions. A comparative, relational and predictive study," Children and Youth Services Review, Elsevier, vol. 95(C), pages 352-360.
    19. Danilo Bertoni & Daniele Cavicchioli & Franco Donzelli & Giovanni Ferrazzi & Dario G. Frisio & Roberto Pretolani & Elena Claire Ricci & Vera Ventura, 2018. "Recent Contributions of Agricultural Economics Research in the Field of Sustainable Development," Agriculture, MDPI, vol. 8(12), pages 1-20, December.
    20. Chantal Kroll & Roger Keller & Urte Scholz & Sonja Perren, 2011. "Evaluating the decisional balance construct of the Transtheoretical Model: are two dimensions of pros and cons really enough?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(1), pages 97-105, February.

    More about this item

    Keywords

    age profile; transition rates; general additive models; smoothing; fertility; living arrangements;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    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:dem:demres:v:24:y:2011:i:29. 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: Editorial Office (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    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.