Uploaded October 2024 | Updated September 2026, 2 weeks ago
In this seminar, organised by the Bagchi School of Public Health, Ahmedabad University, Anindya Chakrabarti, Associate Professor IIM Ahmedabad, presented an interesting topic Quasi-experimental methods and inferences: Two studies on COVID-19 and technology engagement behaviour. Professor Chakrabarti discussed some quasi-random experimental methods that allows one to address the problem of endogeneity and make causal inferences about responses of economic agents in terms of both pecuniary and non-pecuniary factors. In particular, Professor Chakrabarti described two such natural experiments using Covid-19 as a shock to study how people’s behavior regarding technological engagement changed. The key takeaway from this discussion was the nature of data and the design of the quasi-experiments that makes it possible to apply such causal inference methods based on observational data.
In this seminar, organised by the Bagchi School of Public Health, Ahmedabad University, Anindya Chakrabarti, Associate Professor IIM Ahmedabad, presented an interesting topic Quasi-experimental methods and inferences: Two studies on COVID-19 and technology engagement behaviour. Professor Chakrabarti discussed some quasi-random experimental methods that allows one to address the problem of endogeneity and make causal inferences about responses of economic agents in terms of both pecuniary and non-pecuniary factors. In particular, Professor Chakrabarti described two such natural experiments using Covid-19 as a shock to study how people’s behavior regarding technological engagement changed. The key takeaway from this discussion was the nature of data and the design of the quasi-experiments that makes it possible to apply such causal inference methods based on observational data.
