Working Paper
44

A Primer on Geospatial Impact Evaluation Methods, Tools, and Applications

Date Published

Sep 1, 2017

Authors

Ariel BenYishay, Daniel Runfola, Rachel Trichler, Carrie Dolan, Seth Goodman, Bradley Parks, Jeffery Tanner, Silke Heuser, Geeta Batra, Anupam Anand

Publisher

Citation

BenYishay, Ariel, Daniel Runfola, Rachel Trichler, Carrie Dolan, Seth Goodman, Bradley Parks, Jeffery Tanner, Silke Heuser, Geeta Batra, and Anupam Anand. 2017. A Primer on Geospatial Impact Evaluation Methods, Tools, and Applications. AidData Working Paper #44. Williamsburg, VA: AidData at William & Mary. 

Announcement

The growing availability of georeferenced data on development investments and outcomes has opened up new opportunities to understand what works, what doesn’t, and why at a substantially lower time and financial cost. When precisely georeferenced intervention data are fused with in-situ and remotely sensed data on outcomes like poverty, child mortality, deforestation, and governance, quasi-experimental methods of causal inference can be used to control for potential confounds and omitted variables at fine geographic levels. We introduce these geospatial impact evaluation (GIE) methods, review their advantages and disadvantages, and describe their relevance and use across countries, sectors, intervention types, and development organizations.

Funding: This study was made possible through generous financial support from the William and Flora Hewlett Foundation (Grant # 2015-3240) and a cooperative agreement (AID OAA-A-12-00096) between USAID’s Global Development Lab and AidData at the College of William and Mary under the Higher Education Solutions Network (HESN) Program.

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Ariel BenYishay
Research & Evaluation

Ariel BenYishay

Chief Economist, Director of Research and Evaluation

Dan Runfola
Research & Evaluation

Dan Runfola

Senior Geospatial Scientist

Rachel Trichler
Research & Evaluation

Rachel Trichler

Senior Research Analyst

Carrie Dolan

Carrie Dolan

Assistant Professor of Kinesiology and Health Sciences at the College of William & Mary

Seth Goodman
Research & Evaluation

Seth Goodman

Data Engineer

Bradley C. Parks

Bradley C. Parks

Executive Director

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