IDEAS home Printed from
   My bibliography  Save this paper

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




  • Francesco C. BILLARI



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 in the field of living arrangements and fertility, MAPLES may be used for any kind of life events. In fact, it can be applied to every setting where 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 implemented through the R software and includes a set of commands that can be easily applied and that may constitute a useful tool box for demographers and social scientists.

Suggested Citation

  • Roberto IMPICCIATORE & Francesco C. BILLARI, 2010. "MAPLES: a general method for the estimation of age profiles from standard demographic surveys (with an application to fertility)," Departmental Working Papers 2010-40, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  • Handle: RePEc:mil:wpdepa:2010-40

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    1. 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).
    2. 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.
    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. repec:dgr:rugprc:03-01 is not listed on IDEAS
    5. 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, October.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. 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.
    2. Nicole L. Van Der Gaag & Govert 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, January.

    More about this item


    Age profiles; transition rates; fertility and living arrangements; general additive models; smoothing procedure.;

    JEL classification:

    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth


    Access and download statistics


    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:mil:wpdepa:2010-40. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (DEMM Working Papers). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.