Land Measurement Bias and Its Empirical Implications : Evidence from a Validation Exercise

Land Measurement Bias and Its Empirical Implications : Evidence from a Validation Exercise

This paper investigates how land size measurements vary across three common land measurement methods (farmer estimated, Global Positioning System (GPS), and compass and rope), and the effect of land size measurement error on the inverse farm size r...

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Bibliographic Details
Main Authors: Dillon, Andrew, Gourlay, Sydney, Mcgee, Kevin, Oseni, Gbemisola
Format: Working Paper
Language:English
en_US
Published: World Bank, Washington, DC 2016
Subjects:
METHODS
TECHNOLOGY
TRANSACTION
RELIABILITY
EQUIPMENT
CALIBRATION
INTERVIEWS
PRODUCTION
TIME
RESULTS
RESEARCH WORKING PAPERS
VALIDITY
FAMILY
AGE
AGRICULTURAL PRODUCTION
GPS
DATA COLLECTION
INFORMATION
EXAMINATIONS
STANDARD MEASUREMENT
SCALE OF PRODUCTION
AGRICULTURAL INNOVATION
MONITORING
RESEARCHERS
AGRICULTURE
EFFECTS
MEASUREMENT ERRORS
NATURAL RESOURCES MANAGEMENT
SAMPLES
AGRICULTURAL ECONOMICS
SIZE
MEASUREMENT
MEASUREMENTS
PRICE
HUMAN ERROR
SURVEYS
ECONOMICS
MEASURES
MANAGEMENT
REGRESSION ANALYSIS
OPEN ACCESS
SATELLITE
RESULT
WEIGHT
ECONOMIC DEVELOPMENT
KNOWLEDGE
EMPIRICAL ANALYSIS
LAND
STANDARD UNITS
ESTIMATING
SPACE
EDUCATION
MEASURING
METHODOLOGIES
METERS
TESTS
SAMPLING
EXPERIMENTS
LENGTH
GLOBAL POSITIONING SYSTEM
INNOVATION
SURVEY DESIGN
SURVEY DATA
PRODUCTIVITY
ECONOMETRICS
PRECISION
OBSERVATION
ESTIMATES
MAGNITUDE
INDICATORS
RESEARCH
AGRICULTURAL
UNITS
METHODOLOGY
STANDARDS
TECHNOLOGIES
FARMERS
NATURAL RESOURCES
WEIGHTS
CROPS
TESTING
ACCURACY
Online Access:http://documents.worldbank.org/curated/en/2016/03/26067878/land-measurement-bias-empirical-implications-evidence-validation-exercise
http://hdl.handle.net/10986/24141
Description
Summary:This paper investigates how land size measurements vary across three common land measurement methods (farmer estimated, Global Positioning System (GPS), and compass and rope), and the effect of land size measurement error on the inverse farm size relationship and input demand functions. The analysis utilizes plot-level data from the second wave of the Nigeria General Household Survey Panel, as well as a supplementary land validation survey covering a subsample of General Household Survey Panel plots. Using this data, both GPS and self-reported farmer estimates can be compared with the gold standard compass and rope measurements on the same plots. The findings indicate that GPS measurements are more reliable than farmer estimates, where self-reported measurement bias leads to over-reporting land sizes of small plots and under-reporting of large plots. The error observed across land measurement methods is nonlinear and results in biased estimates of the inverse land size relationship. Input demand functions that rely on self-reported land measures significantly underestimate the effect of land on input utilization, including fertilizer and household labor.

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