Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage

97 Pages Posted: 15 Jul 2021

See all articles by Calogero Carletto

Calogero Carletto

affiliation not provided to SSRN

Andrew Dillon

Northwestern University - Kellogg School of Management

Alberto Zezza

United Nations - Food and Agriculture Organization (FAO)

Date Written: July 2021

Abstract

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 integrated data sources, researchers face tradeoffs in survey design that may reduce measurement error or increase coverage. In this chapter, we first review the econometric and survey methodology literatures that focus on the sources of measurement error and coverage bias in agricultural data collection. Second, we provide examples of how agricultural data structure affects testable empirical models. Finally, we review the challenges and opportunities offered by technological innovation to meet old and new data demands and address key empirical questions, focusing on the scalable data innovations of greatest potential impact for empirical methods and research.

Keywords: Agriculture, Measurement Error, Sampling Error, Survey Design, Data Collection

Suggested Citation

Carletto, Calogero and Dillon, Andrew and Zezza, Alberto, Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage (July 2021). Global Poverty Research Lab Working Paper No. 21-108, Available at SSRN: https://ssrn.com/abstract=3885823 or http://dx.doi.org/10.2139/ssrn.3885823

Calogero Carletto

affiliation not provided to SSRN

No Address Available

Andrew Dillon (Contact Author)

Northwestern University - Kellogg School of Management ( email )

2001 Sheridan Road
Evanston, IL 60208
United States

Alberto Zezza

United Nations - Food and Agriculture Organization (FAO) ( email )

Viale delle Terme di Caracalla
Rome, Lazio 00100
Italy

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