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Bell, A.J.; Jones, K. (2013)
Publisher: Elsevier
Languages: English
Types: Article
Subjects:
This commentary discusses the age–period–cohort identification problem. It shows that, despite a plethora of proposed solutions in the literature, no model is able to solve the identification problem because the identification problem is inherent to the real-world processes being modelled. As such, we cast doubt on the conclusions of a number of papers, including one presented here (Page, Milner, Morrell, & Taylor, 2013). We conclude with some recommendations for those wanting to model age, period and cohort in a compelling way.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • Bell, A., & Jones, K. (under review-b). Current practice in the modelling of Age, Period and Cohort effects with panel data: a commentary on Tawfik et al (2012), Clarke et al (2009), and McCulloch (2012). Working paper. Available at http://www.mendeley.com/download/public/19138881/5392730511/2f76331fbd618b02e5 2ff33515ff809b01fdab7c/dl.pdf [Accessed 19th April 2013].
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    • Tu, Y.K., Smith, G.D., & Gilthorpe, M.S. (2011). A New Approach to Age-Period-Cohort Analysis Using Partial Least Squares Regression: The Trend in Blood Pressure in the Glasgow Alumni Cohort. Plos One, 6.
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