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Formal sciences

Project Leader(s): 

Dr. Tom Salisbury, York University

Project team: 
Dr. Huaxiong Huang, York University
Dr. Sebastian Jaimungal, University of Toronto
Dr. Manuel Morales, Unversité de Montréal
Dr. Adam Kolkiewicz, University of Waterloo
Dr. Charles Dugas, Université de Montréal
Dr. Hyejin Ku, York University
Dr. Sheldon Lin, University of Toronto
Dr. Jose Garrido, Concordia University
Dr. Ken Seng Tan at U Waterloo
Non-academic participants: 
Funding period: 
April 1, 2021 - March 31, 2021

With many baby-boomers entering retirement in North America, and with the increasing size of the aging population worldwide due to economic and social development, managing retirement income becomes an important question for the finance and insurance industry as well as for individuals. At the same time, corporations are stepping away from the standard “pensions" they have traditionally offered employees. As a result, individuals are responsible more often for managing the risks associated with securing their retirement income.

Tags: 
Project Leader(s): 

Dr. Changbao Wu, University of Waterloo

Project team: 
Dr. Jiahua Chen, University of Waterloo
Dr. David Haziza, Université de Montréal
Dr. Jerry Lawless, University of Waterloo
Dr. Wilson Lu, Acadia University
Dr. Nancy Reid, University of Toronto
Dr. Jamie Stafford, University of Toronto
Dr. Brajendra Sutradhar, Memorial University of Newfoundland
Dr. Roland Thomas, Carleton University
Dr. Roland Thomas, Carleton University
Dr. Zilin Wang, Wilfrid Laurier University
Funding period: 
April 1, 2021 - March 31, 2021

The surveys being developed by government, health and social science organizations have increased in complexity and as a result, the data that is collected is similarly more complicated. Thus, this project focuses on developing new tools to address issues which arise during the analysis of this complex data including longitudinal data, information which is based on a set of repeated observations of an individual, or group of individuals, over time.