Projects per year
Fingerprint Dive into the research topics where David Pitt is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
Bayesian Vine Copulas for Modelling Mortality Dependence and Pricing Mortality-Linked Securities
7/11/19 → 6/11/20
Project: Research
Deed of Standing Offer - Services for Health Economics Services Panel
Cutler, H., Schroeder, L., Pitt, D., Jang, J., Kyng, T., Purcal, S., Braithwaite, J., Coiera, E. & Westbrook, J.
1/07/15 → …
Project: Research
The nexus between Retirement Villages and Aged Care
Kyng, T., Pitt, D., Li, L., Jepsen, D., Bilgin, A., Zhang, C. & Purcal, S.
15/01/19 → 15/02/20
Project: Other
Flexible models of losses on default of corporate debt
Kalotay, E., Pitt, D., Rai, A. & Salazar Flores, Y.
1/02/13 → 31/01/14
Project: Research
Research Outputs
On the use of Archimedean copulas for insurance modelling
Kularatne, D., Li, J. & Pitt, D., 17 Jun 2020, In : Annals of Actuarial Science.Research output: Contribution to journal › Article
A method for calculating the implied no-recovery three-state transition matrix using observable population mortality incidence and disability prevalence rates among the elderly
Lim, W., Khemka, G., Pitt, D. & Browne, B., Sep 2019, In : Journal of Population Research. 36, 3, p. 245-282 38 p.Research output: Contribution to journal › Article
Does advanced mathematics help students enter university more than basic mathematics? Gender and returns to year 12 mathematics in Australia
Sikora, J. & Pitt, D. G. W., Jun 2019, In : Mathematics Education Research Journal. 31, 2, p. 197-218 22 p.Research output: Contribution to journal › Article
3
Citations
(Scopus)
Smoothing Poisson common factor model for projecting mortality jointly for both sexes
Pitt, D., Li, J. & Lim, T. K., May 2018, In : ASTIN Bulletin. 48, 2, p. 509-541 33 p.Research output: Contribution to journal › Article
1
Citation
(Scopus)
Application of bivariate negative binomial regression model in analysing insurance count data
Liu, F. & Pitt, D., Sep 2017, In : Annals of Actuarial Science. 11, 2, p. 390-411 22 p.Research output: Contribution to journal › Article
Prizes
Development of Excel resources in Actuarial Studies
David Pitt (Recipient), 2017
Prize: Teaching award
Impacts
The development and deployment of an online cost comparison tool for evaluating retirement village contracts
Timothy Kyng (Participant), Sachi Purcal (Participant), Colin Zhang (Participant), Robert Drake (Participant), David Pitt (Participant)
Impact: Public policy impacts, Social impacts