Andres Barajas Paz

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About me

I have completed my PhD in Actuarial Mathematics at Heriot Watt University in the UK. Supported through a PhD scholarship from the Actuarial Research Centre of the Institute and Faculty of Actuaries (IFoA). Also, I am currently a Research Associate and working with Dr Catherine Donnelly at Heriot-Watt University (UK) on the research project “Minimizing longevity and investment risk while optimizing future pension plans”. .

I received my BSc degree in Actuarial Science from the Faculty of Science of the National Autonomous University of Mexico (UNAM), I also hold a MFin (Hons) degree from UNAM, and obtained the Alfonso Caso Award for excellence in performing my MSc in Finance studies and best dissertation. Before coming to the UK, I worked for Mexican Federal Government at SHF, and I was also a teacher for undergraduate students in Actuarial Science in the Faculty of Science at UNAM.

Research Project

Age Heaping in Population Data of Emerging Countries.

My supervisors and I have been developing Bayesian computational methods for fitting a new model for misreporting of age. Mortality analyses have commonly focused on countries represented in the Human Mortality Database that have good quality mortality data. We address the challenge that in many countries population and deaths data can be somewhat unreliable. In many countries, for example, there is significant misreporting of age in both census and deaths data: referred to as `age heaping'. The purpose of our research, is to develop mortality models for countries where their population data is affected by age heaping.

Volunteer time

I am collaborating as a volunteer at Latin American Human Mortality Database project in order to keep up to date the Mexican data series to improve the quality of the data.

I am also collaborating as a volunteer with the Human Mortality Database (HMD) to see how their approach can be adapted to Mexican data for producing complete life table series, which is also relevant to international reinsurance.