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Kevin Dano is an Assistant Professor of Economics at Princeton University. He specializes in econometrics, with a primary focus on panel data and networks. His research contributes to the understanding of economic phenomena through advanced statistical methodologies. He earned his PhD in Economics from the University of California, Berkeley, where he developed a strong foundation in econometric techniques. Kevin is dedicated to teaching and mentoring students, enhancing their understanding of economic theories and quantitative methods.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.