Contributing to agricultural mix:analysis of the living standard measurement study – Integrated survey on agriculture data set

Contributing to agricultural mix:analysis of the living standard measurement study – Integrated survey on agriculture data set

The Living Standard Measurement Study- Integrated Survey on Agriculture (LSMS-ISA) is a General Household Survey (GHS) and a cross-sectional survey consisting of 22,000 households which is carried out periodically across the globe. Currently, the GHS has three panels consisting of 5000 households of...

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Main Author: Romanus Osabohien
Format: Article
Language:English
Published: Elsevier 2018-10-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340918308369
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spelling doaj-adb813f35c3f44a185c7c4494d8bef7e2020-11-24T21:47:22ZengElsevierData in Brief2352-34092018-10-012096100Contributing to agricultural mix:analysis of the living standard measurement study – Integrated survey on agriculture data setRomanus Osabohien0Department of Economics and Development Studies, Covenant University, Ota, NigeriaThe Living Standard Measurement Study- Integrated Survey on Agriculture (LSMS-ISA) is a General Household Survey (GHS) and a cross-sectional survey consisting of 22,000 households which is carried out periodically across the globe. Currently, the GHS has three panels consisting of 5000 households of the GHS collecting additional data on agricultural activities, other household income activities, and household expenditure and consumption, among others. This is to improve data from the agricultural sector and the linkage to other facets of households’ characteristics and outcomes. The LSMS data-set, questionnaire, and basic information document are freely available online at: http://microdata.worldbank.org/index.php/catalog/2734. Keywords: GHS, LSMS-ISA, Agriculturehttp://www.sciencedirect.com/science/article/pii/S2352340918308369
collection DOAJ
language English
format Article
sources DOAJ
author Romanus Osabohien
spellingShingle Romanus Osabohien
Contributing to agricultural mix:analysis of the living standard measurement study – Integrated survey on agriculture data set
Data in Brief
author_facet Romanus Osabohien
author_sort Romanus Osabohien
title Contributing to agricultural mix:analysis of the living standard measurement study – Integrated survey on agriculture data set
title_short Contributing to agricultural mix:analysis of the living standard measurement study – Integrated survey on agriculture data set
title_full Contributing to agricultural mix:analysis of the living standard measurement study – Integrated survey on agriculture data set
title_fullStr Contributing to agricultural mix:analysis of the living standard measurement study – Integrated survey on agriculture data set
title_full_unstemmed Contributing to agricultural mix:analysis of the living standard measurement study – Integrated survey on agriculture data set
title_sort contributing to agricultural mix:analysis of the living standard measurement study – integrated survey on agriculture data set
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2018-10-01
description The Living Standard Measurement Study- Integrated Survey on Agriculture (LSMS-ISA) is a General Household Survey (GHS) and a cross-sectional survey consisting of 22,000 households which is carried out periodically across the globe. Currently, the GHS has three panels consisting of 5000 households of the GHS collecting additional data on agricultural activities, other household income activities, and household expenditure and consumption, among others. This is to improve data from the agricultural sector and the linkage to other facets of households’ characteristics and outcomes. The LSMS data-set, questionnaire, and basic information document are freely available online at: http://microdata.worldbank.org/index.php/catalog/2734. Keywords: GHS, LSMS-ISA, Agriculture
url http://www.sciencedirect.com/science/article/pii/S2352340918308369
work_keys_str_mv AT romanusosabohien contributingtoagriculturalmixanalysisofthelivingstandardmeasurementstudyintegratedsurveyonagriculturedataset
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