MAPLES: a general method for the estimation of age profiles from standard demographic surveys (with an application to fertility)
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.
|Date of creation:||04 Dec 2010|
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- 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).
- 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.
- repec:dgr:rugprc:03-01 is not listed on IDEAS
- 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.
- 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.
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