Measuring Poverty

Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us.   In this episode, Christine Pu describes how commonly used measures of poverty don't agree, and why definitions of poverty matter.   In this episode, we cover: · [00:00] Introduction · [00:59] Christine Pu, an interdisciplinary scientist from Stanford University, introduces the importance of definitions of poverty. · [01:40] List of the four commonly used definitions of poverty. · [02:29] The motivation behind the study. · [03:21] Study design and methods. · [04:20] Results of the study and discussion of why poverty measures may not agree. · [05:50] Discussion of how poverty definitions impact efforts to alleviate poverty. · [06:57] How policymakers can approach definition of poverty. · [07:46] Implications and potential impacts of the study. · [08:25] Study caveats and limitations. · [08:54] Conclusion.   About Our Guests: Christine Pu PhD Candidate Stanford University   View related content here: https://www.pnas.org/doi/abs/10.1073/pnas.2316730121   Follow us on Spotify, Apple Podcasts, Google Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs!   Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast   Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the Highlights newsletter