Anthony D'Agostino

Anthony D'Agostino

  • Design and implementation of experimental and non-experimental evaluations
  • Geospatial analysis
  • Development and environmental economics
Focus Areas
  • International Research
  • Energy and Climate
  • Food and Agriculture
About Anthony

Anthony Louis D'Agostino is an applied microeconomist with primary research interests in international development and the environment. He uses survey, administrative, and remotely sensed data to understand the human and environmental impacts of social policy.

D'Agostino is the project director for Mathematica's evaluation of the Children's Investment Fund Foundation's investments in expanding the number of cities that use the Greenhouse Gas Protocol for Cities to report their greenhouse gas emissions. He supports the design, implementation, and analysis of several evaluations of Millennium Challenge Corporation projects that focus on irrigation, farmer training, land reform, conservation agriculture, and industrial land use in Niger, Morocco, and Malawi.

D'Agostino has published in Agricultural Economics, Energy Economics, Energy Policy, the Journal of Environmental Management, and Mitigation and Adaptation Strategies for Global Change. He has refereed for journals including Nature Sustainability, World Development, Climate and Development, Land Economics, and the Asian Development Review.

Before joining Mathematica in 2018, Anthony was a postdoctoral scholar at Stanford University’s Center on Food Security and the Environment. He holds a Ph.D. in sustainable development from Columbia University's School of International and Public Affairs, and a master’s in public policy from the National University of Singapore.

Key Projects
  • Niger: Evaluating the Irrigation and Market Access Project

    Mathematica ‘s evaluation of MCC’s irrigation infrastructure and market access intervention in Niger will incorporate remotely sensed data, in addition to information from farmer surveys, to improve yield estimates and assess changes in agricultural productivity.