For best experience please turn on javascript and use a modern browser!
You are using a browser that is no longer supported by Microsoft. Please upgrade your browser. The site may not present itself correctly if you continue browsing.
van Berkum, F., Antonio, K., & Vellekoop, M. (2021). Quantifying longevity gaps using micro-level lifetime data. Journal of the Royal Statistical Society. Series A: Statistics in Society, 184(2), 548-570. https://doi.org/10.1111/rssa.12631[details]
van Berkum, F., Antonio, K., & Vellekoop, M. (2017). A Bayesian joint model for population and portfolio-specific mortality. ASTIN Bulletin, 47(3), 681-713. https://doi.org/10.1017/asb.2017.17[details]
van Berkum, F., Antonio, K., & Vellekoop, M. (2016). The impact of multiple structural changes on mortality predictions. Scandinavian Actuarial Journal, 2016(7), 581-603. https://doi.org/10.1080/03461238.2014.987807[details]
Antonio, K., Shi, P., & van Berkum, F. (2014). Longitudinal data and experience rating. In A. Charpentier (Ed.), Computational actuarial science with R (pp. 511-542). (Chapman & Hall/CRC The R Series). Boca Raton: CRC Press. [details]
2014
van Berkum, F. (2014). De impact van structurele veranderingen op de projectie van sterftekansen. Actuaris, 21(5), 10-13. [details]
Talk / presentation
van Berkum, F. (speaker) (2017). Unraveling relevant risk factors explaining pension fund mortality: a case study in the Netherlands, Netspar Pension Day, Utrecht.
2018
van Berkum, F. (2018). Models for population-wide and portfolio-specific mortality. [details]
The UvA website uses cookies and similar technologies to ensure the basic functionality of the site and for statistical and optimisation purposes. It also uses cookies to display content such as YouTube videos and for marketing purposes. This last category consists of tracking cookies: these make it possible for your online behaviour to be tracked. You consent to this by clicking on Accept. Also read our Privacy statement
Necessary
Cookies that are essential for the basic functioning of the website. These cookies are used to enable students and staff to log in to the site, for example.
Necessary & Optimalisation
Cookies that collect information about visitor behaviour anonymously to help make the website work more effectively.
Necessary & Optimalisation & Marketing
Cookies that make it possible to track visitors and show them personalised adverts. These are used by third-party advertisers to gather data about online behaviour. To watch Youtube videos you need to enable this category.