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

Author

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  • 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
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    1. 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.
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    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.

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    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

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