Faculty
Benoit Dostie becomes Chairperson of the Canadian Statistics Advisory Council
June 1, 2026
Benoit Dostie, a full professor at the Department of Applied Economics, has been appointed Chairperson of the Canadian Statistics Advisory Council (CSAC). He will serve in this new role for a three-year term.
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After three years as a member of this Council, his appointment as Chairperson was endorsed by the Governor General of Canada, on the recommendation of the Minister of Innovation, Science and Industry.
As Chairperson of the CSAC, Benoit Dostie will be responsible for leading and guiding the Council’s work and ensuring its impartiality and transparency. He will also be the Council’s main spokesperson, particularly to the media and the government. Lastly, he will lead the preparation of the annual report on the state of Canada’s national statistical system.
Established in 2017, the CSAC’s mission is to strengthen the independence and relevance of the national statistical system. The Council helps ensure that Canadians have access to a trusted source of statistics and data to meet their information needs, while safeguarding privacy and data confidentiality.
About Benoit Dostie
Benoit Dostie has a PhD in Economics from Cornell University, and is the Scientific Director of HEC Montréal’s Retirement and Savings Institute and holder of the Power Corporation of Canada Chair in Employer-Employee Dynamics, Earnings and Benefits.
He is a fellow at the IZA@LISER Network (Luxembourg) and at CIRANO, where he is lead researcher in “Skills.” He also heads the CIRANO Pole on the socio-economic impacts of digital intelligence.
His research focuses mainly on statistical models for data analysis relating to employer-employee dynamics, returns on human capital, repercussions of aging on the labour market, productivity, innovation, and worker reallocation. His work has been published in a number of scientific journals, such as the Journal of Econometrics, ILR Review, the Journal of Human Resources and the Journal of Business and Economic Statistics.
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