… papers, you invented what have come to be known as “Bewley models,” now routinely taught as part of core curricula in … on this pioneering work because it has so many real world applications—and in fact many other economists influenced by … as well as theoretical: central banks use the powerful methods you have developed for detecting bubbles in asset …

… appointed as Sterling Professor of Economics , the highest honor that can be bestowed on a Yale professor. Limits of early supply and demand models At Wisconsin and Yale, Berry found himself surrounded … came to be known as the “BLP model.” One model, endless applications for policy analysis The ideas in the BLP model …

… best solutions, often requiring fragile and slow search methods. Research by Xiaohong Chen, Wayne Yuan Gao, and … importantly for practitioners, it bridges the gap between econometrics and machine learning. Because the RMS estimator …

… Foundation for Research in Economics and is named in honor of Tjalling C. Koopmans, the 1975 Nobel Laureate in … provide a representation theory for autoregressive models of functional time series, with an emphasis on … provide a representation theory for autoregressive models of functional time series, with an emphasis on …

… Third, the authors analyze linear parametric regression models, where x(t) is the (unobserved) additive noise … Foundation for Research in Economics. It is named in honor of Tjalling C. Koopmans, the 1975 Nobel Laureate in … Third, the authors analyze linear parametric regression models, where x(t) is the (unobserved) additive noise …

… applying rigorous logical, mathematical, and statistical methods of analysis in economics. This year’s conference … The 2022 Cowles Models and Measurement Conference brought together 80+ … The 2022 Cowles Econometrics Conference features speakers who are just a few …