Impact evaluations in data-scarce environments: The case of stress-tolerant rice varieties in Bangladesh

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dc.creatorMichler, Jeffrey D.
dc.creatorAl Rafi, Dewan Abdullah
dc.creatorGiezendanner, Jonathan
dc.creatorJosephson, Anna
dc.creatorPede, Valerien
dc.creatorTellman, Elizabeth
dc.date2026-02
dc.date2026-04-20T07:22:27Z
dc.date.accessioned2026-06-27T04:10:56Z
dc.descriptionNew technologies are sometimes introduced at times or in places that lack the necessary data to conduct a well-identified impact evaluation. We develop a methodology that combines Earth Observation (EO) data and deep learning with administrative and survey data so as to allow researchers to conduct impact evaluations when traditional economic data is missing. To demonstrate our method, we study stress tolerant rice varieties (STRVs) first introduced to Bangladesh 15 years ago. Using EO data on rice production and flooding for the entire country, spanning two decades, we find evidence of STRV effectiveness. We highlight how the nature of the technology, which is only effective under a specific set of circumstances, creates a Goldilocks Problem that EO data is particularly well suited to addressing. Our findings speak to the promises and challenges of using EO data to conduct impact evaluations in data-scarce environments.
dc.identifierhttps://hdl.handle.net/10568/182543
dc.identifier.urihttp://hdl.handle.net/123456789/24230
dc.languageen
dc.publisherElsevier
dc.rightsLimited Access
dc.sourceMichler, Jeffrey D., Dewan Abdullah Al Rafi, Jonathan Giezendanner, Anna Josephson, Valerien O. Pede, and Elizabeth Tellman. "Impact evaluations in data-scarce environments: The case of stress-tolerant rice varieties in Bangladesh." Journal of Development Economics 179 (2026): 103648.
dc.subjectrice
dc.subjectphysiological stress resistance
dc.subjectvarieties
dc.subjectimpact assessment
dc.subjectremote sensing
dc.subjectflooding
dc.subjectmachine learning
dc.subjectcrop yield
dc.subjectagricultural production
dc.titleImpact evaluations in data-scarce environments: The case of stress-tolerant rice varieties in Bangladesh
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)