Paul Grieco

Chuck Manski is a pioneer in the area of partial identification and robustness, which explores how researchers' assumptions can impact the precision and accuracy of their analysis. In this book, written for a general audience, he explores how researchers' assumptions can drive policy analysis and affect public policy. He also illustrates ways that public policy analysis could account for uncertainty to produce more robust findings. I think the book is inspiring because it illustrates how good research methodology matters for informing real-world policies on a diverse array of social and economic topics such as education and unemployment insurance.