James V. Marrone

Photo of James Marrone
Associate Economist
Washington Office


PhD in economics, University of Chicago; MSc in economics, Universitat Pompeu Fabra; BS in mathematics, University of Chicago; BA in physics, University of Chicago


Jim Marrone (he/him) is an associate economist at RAND Corporation. He is an applied microeconomist focusing primarily on the way institutions and government programs impact marginalized populations and at-risk material culture. Major topical focuses are: military families and young servicemembers; counter-extremism programs and migrant assimilation; and historic sites and antiquities markets. His work is both theoretical and empirical, using statistical techniques in novel ways to develop better measurements of empirically important outcomes. Recent examples include the use of remote survey methods to study media programs' impact on support for extremism in developing countries, and the application of machine-learning methods to assess at-risk cultural heritage in disaster and conflict zones. He received his Ph.D. from the University of Chicago.

Selected Publications

Silvia Beltrametti and James V. Marrone, "Market Responses to Court Rulings: Evidence from Antiquities Auctions," Journal of Law and Economics, 59(4), 2016

James V. Marrone, "Quantifying the supply chain for Near Eastern Antiquities in times of war and conflict," Journal of Cultural Heritage, 33, 2018

James V. Marrone, Predicting 36-Month Attrition in the U.S. Military: A Comparison Across Service Branches, RAND Corporation (RR-4258-OSD), 2020

James V. Marrone, Todd C. Helmus, Elizabeth Bodine-Baron, Christopher Santucci, Countering Violent Extremism in Nigeria: Using a Text-Message Survey to Assess Radio Programs, RAND Corporation (RR-4257-DOS), 2020

Carole Roan Gresenz, Jean M. Mitchell, James V. Marrone, Howard J. Federoff, "Effect of Early-Stage Alzheimer's Disease on Household Financial Outcomes," Health Economics, 29(1), 2020

Beth J. Asch, James V. Marrone, Michael G. Mattock, An Examination of the Methodology for Awarding Imminent Danger Pay and Hostile Fire Pay, RAND Corporation (RR-3231-OSD), 2019