Randall Akee (Native Hawaiian)

Assistant Professor

Contact Information

Email    rakee@ucla.edu
Office  3250 Public Affairs
Phone  3108256934
Economic Development, Education, Ethnicity and Development Politics, Immigration, Labor and Employment

Randall Akee is an assistant professor in the Department of Public Policy and American Indian Studies at UCLA. Prior to that, Dr. Akee was an Assistant Professor of Economics at Tufts University. Dr. Akee completed his doctorate at Harvard University in June 2006. Dr. Akee is an applied microeconomist and has worked in the areas of Labor Economics, Economic Development and Migration. He has conducted research on the determinants of migration and human trafficking, the effect of changes in household income on educational attainment and obesity, the effect of political institutions on economic development and the role of property institutions on investment decisions.  He has conducted research on several American Indian reservations, Canadian First Nations, and Pacific Island nations in addition to working in various Native Hawaiian communities. Dr. Akee also spent several years working for the State of Hawaii Office of Hawaiian Affairs Economic Development Division.  He is a research fellow at the Harvard Project on American Indian Economic Development and the Center for Effective Global Action at UC Berkeley. He also serves on the National Advisory Council on Race, Ethnic, and Other Populations at the US Census Bureau. He is also a Faculty Research Fellow at the National Bureau of Economic Research. In 2017, Dr. Akee began a two-year fellowship at the Brookings Institution as a Rubenstein Fellow in the Economic Studies Program. 


Ph.D. Harvard University in Political Economy


  • Labor Economics
  • Economic Development and Migration
  • Human Trafficking, Poverty and EducationalAttainment and Crime
  • Political Institutions and Economic Development
  • Property Institutions and Investment on American Indian lands
  • Income and Wealth Inequality by race and ethnicity

Research Methods:

  • Quantitative Analysis
  • Large Data sets
  • Administrative Data
  • Survey Data