AidData Working Paper

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. Accessed at http://aiddata.org/working-papers.

AidData Working Paper

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

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. Accessed at http://aiddata.org/working-papers.

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.