Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/299443 
Year of Publication: 
2023
Series/Report no.: 
IDB Working Paper Series No. IDB-WP-01504
Publisher: 
Inter-American Development Bank (IDB), Washington, DC
Abstract: 
This analysis applies a regression discontinuity approach combined with remote sensing data to measure the productivity impacts linked to a fruit-fly eradication program, implemented in Peru. For this purpose, satellite imagery was used to estimate a vegetation index over a 10-year span for a sample of 305 producers -155 treated and 150 controls-. The results confirmed that program participation increased agricultural productivity in the short and long terms, in a range from 12% to 49%. However, quantile regression methods suggest that most productive farmers were able to obtain greater impacts.
Subjects: 
Agricultural Productivity
Impact Evaluation
Remote Sensing
Satellite Images
Peru
JEL: 
Q12
Q16
O13
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Working Paper

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