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|
|Contact details of provider:|| Postal: Via Conservatorio 7, I-20122 Milan - Italy|
Phone: +39 02 50321522
Fax: +39 02 50321505
Web page: http://www.demm.unimi.it
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
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)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.