Cargando…
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...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6082989/ https://www.ncbi.nlm.nih.gov/pubmed/30101165 http://dx.doi.org/10.1016/j.dib.2018.07.057 |
_version_ | 1783345889878736896 |
---|---|
author | Osabohien, Romanus |
author_facet | Osabohien, Romanus |
author_sort | Osabohien, Romanus |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6082989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-60829892018-08-10 Contributing to agricultural mix:analysis of the living standard measurement study – Integrated survey on agriculture data set Osabohien, Romanus Data Brief Decision Science 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. Elsevier 2018-07-27 /pmc/articles/PMC6082989/ /pubmed/30101165 http://dx.doi.org/10.1016/j.dib.2018.07.057 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Decision Science Osabohien, Romanus Contributing to agricultural mix:analysis of the living standard measurement study – Integrated survey on agriculture data set |
title | 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_short | 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 |
topic | Decision Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6082989/ https://www.ncbi.nlm.nih.gov/pubmed/30101165 http://dx.doi.org/10.1016/j.dib.2018.07.057 |
work_keys_str_mv | AT osabohienromanus contributingtoagriculturalmixanalysisofthelivingstandardmeasurementstudyintegratedsurveyonagriculturedataset |