[Rerun] Ariel Pakes, Professor and Economist, Harvard University скачать в хорошем качестве

[Rerun] Ariel Pakes, Professor and Economist, Harvard University

Welcome back to The Mixtape with Scott. I’m currently in the process of putting together a new slate of interviews, and while it’s not quite ready yet, I didn’t want to leave you hanging. So in the meantime, I’m re-sharing some conversations from earlier seasons — episodes that I think are worth revisiting or perhaps discovering for the first time. Today’s rerun is from Season Two, and it’s one of my favorite interviews from that time: my conversation with Ariel Pakes (https://pakes.scholars.harvard.edu) , the Thomas Professor of Economics at Harvard University (https://pakes.scholars.harvard.edu) . This was such a fun and rich interview. People either know Dr. Pakes very well or only by the letter “P”. He’s a towering figure in industrial organization and structural econometrics, with landmark contributions both theoretical and applied. Among many things, he’s the “P” in the Berry-Levinsohn-Pakes (https://www.jstor.org/stable/2171802) model — BLP — which remains one of the most influential tools for estimating demand in differentiated product markets. That paper — Automobile Prices in Market Equilibrium — published in Econometrica in 1995, has had a ripple effect not just in economics, but well beyond it. But this interview wasn’t just about methods and models. Dr. Pakes and I talked about basketball, about growing up in a radical socialist youth group, about his early love of philosophy, and his own path through Harvard as a young man trying to straddle economics and philosophy before finding his place. He spoke softly, with depth and reflection, and he offered a glimpse into how he works — by getting himself in way over his head and then slowly, patiently, working his way out. It’s a way of thinking that hasn’t just shaped his own work but has helped shape the rest of ours too. I hope you enjoy this one as much as I did. Get full access to Scott's Mixtape Substack at causalinf.substack.com/subscribe (https://causalinf.substack.com/subscr...)