In this episode, we talk with Christopher Wildeman , Associate Professor of Policy Analysis and Management at Cornell University. His research and teaching interests revolve around the consequences of mass imprisonment for inequality, with emphasis on families, health, and children. He is also interested in child welfare, especially as relates to child maltreatment and the foster care […]
In this episode, we talk with Christopher Wildeman , Associate Professor of Policy Analysis and Management at Cornell University. His research and teaching interests revolve around the consequences of mass imprisonment for inequality, with emphasis on families, health, and children. He is also interested in child welfare, especially as relates to child maltreatment and the foster care system.
We talk about his article on child maltreatment, published in Pediatrics, and discuss how his research team used existing datasets in new ways to reveal better estimates of child maltreatment rates.
“Most of the statistics that we have are based on either annual rates or daily rates of experiencing some specific event. And so the technique that I use, which is called synthetic cohort life tables, is basically just a way to say: based on one year’s data, what proportion of folks could expect to experience an event at some point in their life?”– Chris Wildeman –