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Computational Methods in Economics ECON 832 (4)
The graduate course teaches advanced skills for building and analyzing structural economic models with a focus on models of consumer choice in different domains. The course covers Monte Carlo simulations, optimization methods, mixture models, bootstrap, and neural nets for economic applications. Upon completion, students will be proficient in the latest computational methods and able to apply them to diverse economic problems. Prerequisite: ECON 802, 803, or 804 or with approval of the instructor.