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This course covers empirical strategies for applied micro research questions. Our agenda includes regression and matching, instrumental variables, differences-in-differences, regression discontinuity designs, standard errors, and a module consisting of 8–9 lectures on the analysis of high-dimensional data sets a.k.a. "Big Data".
This program offers a structured path from fundamentals to mastery, ensuring you gain practical, job-ready skills that are recognized by global employers. Whether you're starting a new career or leveling up your current expertise, this learning experience is optimized for your success.