Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage

Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage

Advances in agricultural data production provide ever-increasing opportunities for pushing the research frontier in agricultural economics and designing better agricultural policy. As new technologies present opportunities to create new and integra...

Full description

Bibliographic Details
Main Authors: Carletto, Calogero, Dillon, Andrew, Zezza, Alberto
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2021
Subjects:
AGRICULTURE
SURVEY DESIGN
DATA COLLECTION
Online Access:http://documents.worldbank.org/curated/en/751081627578468610/Agricultural-Data-Collection-to-Minimize-Measurement-Error-and-Maximize-Coverage
http://hdl.handle.net/10986/36056

Internet

http://documents.worldbank.org/curated/en/751081627578468610/Agricultural-Data-Collection-to-Minimize-Measurement-Error-and-Maximize-Coverage
http://hdl.handle.net/10986/36056

Similar Items