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Associate professor Chris Bidner and professor Krishna Pendakur

Research

Economics researchers awarded 2020 SSHRC Insight Grants

July 08, 2020
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Congratulations to professor Krishna Pendakur and associate professor Chris Bidner whose projects have been awarded Social Sciences and Humanities Council (SSHRC) Insight Grants for 2020.

Insight Grants aim to build knowledge and understanding about people, societies and the world. By supporting and fostering excellence in social sciences and humanities research, the program deepens, widens and increases our collective understanding of individuals and societies, as well as informing the search for solutions to societal challenges. 

Bidner and Pendakur were among the 18 researchers from the Faculty of Arts and Social Sciences (FASS) who successfully received SSHRC Insight Grants for their projects. 

Chris Bidner
Associate Professor

Project title: Unbundling Female Empowerment

In a joint collaboration with professor Siwan Anderson from the University of British Columbia (UBC)’s Vancouver School of Economics, Bidner’s research project on “Unbundling Female Empowerment” received a SSHRC Insight Grant worth $250,000. The project aims to expand our understanding of gender issues in the context of developing countries by carefully and systematically “unbundling” the various components of female empowerment. The insights gained from this project will help inform international development policy initiatives to promote gender equality and female empowerment.

Krishna Pendakur
Professor

Project title: Short Panel Analysis of Household Models

The objectives of Pendakur’s research on household decision-making and consumption in Bangladesh and Malawi are threefold: to design a more dynamic collective household model, to develop new econometric techniques, and to create public-use datasets for further research. The outcomes from Pendakur’s project will have applications beyond academia. The methods developed will allow policy makers to engage in consumer choice analyses more closely, and make the prediction of useful policy objects such as inflation rates more accurate and robust.