That mistakes are made is clear. What is meant by that is not. Measuring whatever might be meant and scientifically studying it is therefore even more challenging. These lectures introduce an interdisciplinary science of mistakes to cut the Gordian knot. The key building blocks are model constructs drawn from the economic tradition, methods of measurement drawn from the psychometric tradition, and analytic methods drawn from economic theory.
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Andrew Caplin is Silver Professor of Economics at New York University with previous academic appointments at Harvard, Princeton, and Columbia Universities. His research on the Science of Mistakes is highly interdisciplinary in nature, using methods from the economic and psychological traditions to shed common light on both fields, with powerful links also to the theory of learning and human capital, patterns of earning over the life-cycle, and machine learning. He is a Director of the Sloan-NOMIS Program on the Cognitive Foundations of Economic Behavior, the National Bureau of Economic Research Behavioral Macroeconomics Program, and a Fellow of the Econometric Society. He describes himself as an "Economic Data Engineer", and is constantly on the lookout for new models and complementary new forms of data to further advance social science. He specializes in disregarding long-standing and outmoded barriers between social scientific disciplines and between social and other forms of science. He knows that teamwork is the future.
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