Peter Arcidiacono joined Duke University in 1999 and was awarded tenure as an associate professor in 2006. His teaching and research focus on labor economics, applied econometrics, and applied microeconomics. Before becoming a member of the Duke faculty, he was awarded the Sloan Dissertation Fellowship for the year of 1997-98. Peter earned this award while attending the University of Wisconsin, where he earned his Ph.D. in economics in 1999. He began his higher education studies in economics at Willamette University, where he received his B.S. in 1993.
Since accepting his professorship at Duke University, Peter has also taken on the position of research associate for the National Bureau of Economic Research. Peter also serves as co-editor for the Journal of Labor Economics and the Economic Inquiry, and as associate editor for the Journal of Applied Econometrics and AEJ: Applied Microeconomics.
Peter's two main lines of work are on affirmative action in higher education and estimation of dynamic discrete choice models. Peter has investigated how affirmative action in admissions affects future earnings, college attendance rates, inter-racial interaction, and the match between the student and the school. Peter has also developed tools to facilitate estimation of dynamic discrete choice models. Other subjects that Peter has addressed with his writing and research include minimum wages, teen sex, and peer effects. His work has been published in Econometrica, Review of Economics and Statistics, and the International Economic Review among many others.
Peter received a grant from the National Science Foundation for his work on “CCP Estimation of Dynamic Discrete Choice Models with Unobserved Heterogeneity,” the research for which was conducted in 2007-2009 with Paul Ellickson and Robert Miller. Between 2003-2005, Peter also received grants from NICHD for his creation of a dynamic model for teen sex, and from the Smith Richardson Foundation for his paper, “Does the River Spill Over?”
Keynote lecture title: Equilibrium Grade Inflation with Implications for Female Interest in STEM Majors