In the absence of longitudinal data, recall data is used to examine participation in sport. Techniques of survival analysis are adapted and applied to illuminate the dynamics of sporting life. The likelihood of participation has a distinct pattern across the life-course, rising to a peak at 15 years of age, falling sharply in late teenage years and more gradually during adulthood. Logistic regressions and Cox regressions reveal strong effects on participation of gender, cohort and socioeconomic status, which vary over the life-course and by type of sport. The findings add significantly to previous work and have implications for policymakers wishing to increase physical activity.
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Paper provided by Economic and Social Research Institute (ESRI) in its series Papers with number
WP272.
Length: 34 pages Date of creation: Jan 2009 Date of revision: Handle: RePEc:esr:wpaper:wp272
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References listed on IDEAS 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.:
Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001.
"Measurement error in survey data,"
Handbook of Econometrics,
in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843
Elsevier.
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