1 / 21

Deriving and Modelling Fertility Variables in the NCDS and BCS70

Pathways to Parenthood: Exploring the influence of Context as a Predictor of Timing to Parenthood. . Overall Aims 1. Define early parenthood

betty_james
Download Presentation

Deriving and Modelling Fertility Variables in the NCDS and BCS70

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

    1. Deriving and Modelling Fertility Variables in the NCDS and BCS70

    2. Pathways to Parenthood: Exploring the influence of Context as a Predictor of Timing to Parenthood

    4. Fertility variables collected at all waves since childhood (Age 23, 33, 41/42, 46 years) 2004 sweep allows for analysis of full fertility schedule adding to previous analyses of NCDS cohort e.g. Holdsworth & Elliott (2001) Want to create variables for Event History Analysis First attempt to create variable for modelling entry into parenthood in Event History terms could work as: Time to first parenthood (Event) = Minimum Recorded Child’s Date of Birth (Age 23, 33, 41/42, 46 years) Childless cohort members (Censored) = Maximum Recorded Interview Date (Age 23, 33, 41/42, 46 years)

    5. Using this method produces the following summary KM statistics:

More Related