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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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 |
_version_ |
1764431935691554816 |