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Replication Data for: "Adding measurement error to location data to protect subject confidentiality while allowing for consistent estimation of exposure effects"

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: "Adding measurement error to location data to protect subject confidentiality while allowing for consistent estimation of exposure effects"
 
Identifier https://doi.org/10.7910/DVN/VHBLVA
 
Creator Karra, Mahesh
Canning, David
Sato, Ryoko
 
Publisher Harvard Dataverse
 
Description This replication package reproduces the results for the paper entitled "Adding measurement error to location data to protect subject confidentiality while allowing for consistent estimation of exposure effects," which is published in The Journal of the Royal Statistical Society: Series C (Applied Statistics), DOI: https://doi.org/10.1111/rssc.12439. This package contains 2 Stata Do-Files (.do) that produce the simulated dataset and run one replication of the simulation (the main paper runs 1,000 replications), and 2 Stata Data Files (.dta) that are used for the simulation in the main paper. (2020-02-29).
 
Subject Mathematical Sciences
Social Sciences
Data privacy
Measurement error
Monte Carlo simulation
Numerical integration
 
Contributor Karra, Mahesh