Fall 2013 PHD Course

B9323-001: (PhD) Introduction to Econometrics and Statistical Inference

M - Full Term, 10:00AM to 01:00PM

Location: WJW 415

Instructor: Assaf Zeevi


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This is an introductory graduate level course in econometrics emphasizing mathematical statistics foundations and data analysis. The course covers fundamental concepts of statistical inference that provide the foundations for data analysis and applied empirical work. The course combines theory of statistical inference, methods for analyzing data, and hands-on examples using statistical software packages.  At the end of the course, students will be able to apply basic econometrics and data analysis tools to their research.


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Assaf Zeevi

Kravis Professor of BusinessAssaf Zeevi is the Vice Dean for Research and Henry Kravis Professor of Business at the Graduate School of Business, Columbia University. His research is broadly focused on the formulation and analysis of mathematical models of complex systems. He is particularly interested in the areas of stochastic modeling and statistics, and their synergistic application to problems arising in service operations, revenue management, and financial services...

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