From Guesstimates to GPStimates : Land Area Measurement and Implications for Agricultural Analysis

Land area measurement is a fundamental component of agricultural statistics and analysis. Yet, commonly employed self-reported land area measures used in most analysis are not only potentially measured with error, but these errors may be correlated...

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Main Authors: Carletto, Calogero, Gourlay, Sydney, Winters, Paul
Format: Policy Research Working Paper
Language:English
en_US
Published: World Bank, Washington, DC 2013
Subjects:
Online Access:http://documents.worldbank.org/curated/en/2013/07/18055670/guesstimates-gpstimates-land-area-measurement-implications-agricultural-analysis
http://hdl.handle.net/10986/15910
id okr-10986-15910
recordtype oai_dc
spelling okr-10986-159102021-04-23T14:03:26Z From Guesstimates to GPStimates : Land Area Measurement and Implications for Agricultural Analysis Carletto, Calogero Gourlay, Sydney Winters, Paul AGRICULTURAL DEVELOPMENT AGRICULTURAL INFORMATION AGRICULTURAL INNOVATION AGRICULTURAL PRODUCTION AGRICULTURE CONSTANT RETURNS TO SCALE COUNTRY CASE STUDIES CROPS DATA COLLECTION DEVELOPMENT ECONOMICS DEVELOPMENT POLICY DEVELOPMENT RESEARCH DRIVING ECONOMETRIC ANALYSIS ECONOMETRICS ECONOMICS ELASTICITY EQUATIONS EQUIPMENT FARMERS FARMS FIELD EXPERIMENTS GENDER GLOBAL POSITIONING SYSTEM GLOBAL POSITIONING SYSTEMS GPS INNOVATION LIVING STANDARDS survey design land measurement inverse productivity relationship Land area measurement is a fundamental component of agricultural statistics and analysis. Yet, commonly employed self-reported land area measures used in most analysis are not only potentially measured with error, but these errors may be correlated with agricultural outcomes. Measures employing Global Positioning Systems, on the other hand, while not perfect especially on smaller plots, are likely to provide more precise measures and errors less correlated with agricultural outcomes. This paper uses data from four African countries to compare the use of self-reported and Global Positioning Systems land measures to (1) examine the differences between the measures, (2) identify the sources of the differences, and (3) assess the implications of the different measures on agricultural analysis focusing on the inverse productivity relationship. The results indicate that self-reported land areas systematically differ from Global Positioning Systems land measures and that this difference leads to potentially biased estimates of the relationship between land and productivity. 2013-09-27T18:36:07Z 2013-09-27T18:36:07Z 2013-07 http://documents.worldbank.org/curated/en/2013/07/18055670/guesstimates-gpstimates-land-area-measurement-implications-agricultural-analysis http://hdl.handle.net/10986/15910 English en_US Policy Research Working Paper;No. 6550 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research Malawi Niger Tanzania Uganda
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
en_US
topic AGRICULTURAL DEVELOPMENT
AGRICULTURAL INFORMATION
AGRICULTURAL INNOVATION
AGRICULTURAL PRODUCTION
AGRICULTURE
CONSTANT RETURNS TO SCALE
COUNTRY CASE STUDIES
CROPS
DATA COLLECTION
DEVELOPMENT ECONOMICS
DEVELOPMENT POLICY
DEVELOPMENT RESEARCH
DRIVING
ECONOMETRIC ANALYSIS
ECONOMETRICS
ECONOMICS
ELASTICITY
EQUATIONS
EQUIPMENT
FARMERS
FARMS
FIELD EXPERIMENTS
GENDER
GLOBAL POSITIONING SYSTEM
GLOBAL POSITIONING SYSTEMS
GPS
INNOVATION
LIVING STANDARDS
survey design
land measurement
inverse productivity relationship
spellingShingle AGRICULTURAL DEVELOPMENT
AGRICULTURAL INFORMATION
AGRICULTURAL INNOVATION
AGRICULTURAL PRODUCTION
AGRICULTURE
CONSTANT RETURNS TO SCALE
COUNTRY CASE STUDIES
CROPS
DATA COLLECTION
DEVELOPMENT ECONOMICS
DEVELOPMENT POLICY
DEVELOPMENT RESEARCH
DRIVING
ECONOMETRIC ANALYSIS
ECONOMETRICS
ECONOMICS
ELASTICITY
EQUATIONS
EQUIPMENT
FARMERS
FARMS
FIELD EXPERIMENTS
GENDER
GLOBAL POSITIONING SYSTEM
GLOBAL POSITIONING SYSTEMS
GPS
INNOVATION
LIVING STANDARDS
survey design
land measurement
inverse productivity relationship
Carletto, Calogero
Gourlay, Sydney
Winters, Paul
From Guesstimates to GPStimates : Land Area Measurement and Implications for Agricultural Analysis
geographic_facet Malawi
Niger
Tanzania
Uganda
relation Policy Research Working Paper;No. 6550
description Land area measurement is a fundamental component of agricultural statistics and analysis. Yet, commonly employed self-reported land area measures used in most analysis are not only potentially measured with error, but these errors may be correlated with agricultural outcomes. Measures employing Global Positioning Systems, on the other hand, while not perfect especially on smaller plots, are likely to provide more precise measures and errors less correlated with agricultural outcomes. This paper uses data from four African countries to compare the use of self-reported and Global Positioning Systems land measures to (1) examine the differences between the measures, (2) identify the sources of the differences, and (3) assess the implications of the different measures on agricultural analysis focusing on the inverse productivity relationship. The results indicate that self-reported land areas systematically differ from Global Positioning Systems land measures and that this difference leads to potentially biased estimates of the relationship between land and productivity.
format Publications & Research :: Policy Research Working Paper
author Carletto, Calogero
Gourlay, Sydney
Winters, Paul
author_facet Carletto, Calogero
Gourlay, Sydney
Winters, Paul
author_sort Carletto, Calogero
title From Guesstimates to GPStimates : Land Area Measurement and Implications for Agricultural Analysis
title_short From Guesstimates to GPStimates : Land Area Measurement and Implications for Agricultural Analysis
title_full From Guesstimates to GPStimates : Land Area Measurement and Implications for Agricultural Analysis
title_fullStr From Guesstimates to GPStimates : Land Area Measurement and Implications for Agricultural Analysis
title_full_unstemmed From Guesstimates to GPStimates : Land Area Measurement and Implications for Agricultural Analysis
title_sort from guesstimates to gpstimates : land area measurement and implications for agricultural analysis
publisher World Bank, Washington, DC
publishDate 2013
url http://documents.worldbank.org/curated/en/2013/07/18055670/guesstimates-gpstimates-land-area-measurement-implications-agricultural-analysis
http://hdl.handle.net/10986/15910
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