Welcome to the 12th episode of the third season of the Mixtape with Scott, a podcast devoted to listening to the stories of living economists. This week's guest is Daniel Chen, an economist at the Toulouse School of Economics. I had a chance to meet Daniel when he came to Baylor and presented to use a tour de force of his body of scholarship, and I was mesmerized by it. Except for one other person, I had not met someone with that level of productive scholarly energy before. I was really stunned by how much work he had crammed into a career, spreading so many topics, and yet all held together under this umbrella of "political economy". I knew of many of Daniel's works by reputation and one in particular we discuss which is about a law and economics program that trained federal judges, but I hadn't met him before, and I did not put two and two together that he had gone to MIT and had on his committee Bannerjee, Duflo, Kremer and Angrist -- four key Nobel laureates in the history of causal inference and the natural experiment movement that really captured the profession. So I asked him if we could talk and I could hear his story and he agreed. Daniel will share it in this talk as we go through the kind of kid he was, and probably frankly still is, a deeply curious, very meticulous, thoughtful, and creative person. We talked about his childhood, majoring in applied math at Harvard, being very drawn to theory and yet people, making economics a surprising and unexpected opportunity for him, and eventually becoming what he told me was a "data rat" who collected datasets. He also fits with this other part of the professional story that I’ve been wanting to share with people which are these economists that also go to law school and JDs. He after finishing MIT decided to get a JD at Harvard law school, and his explanation for it is kind of interesting because it all feels somehow unplanned and yet clearly he is, in my opinion anyway, driven by his own goals. I loved meeting him, loved talking to him, loved listening to his story, and I hope you do too! Thank you for tuning in as always! Scott's Substack is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Get full access to Scott's Substack at causalinf.substack.com/subscribe