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| Household Livelihood Survey× | Living Standards Measurement Study× | |
|---|---|---|
| Područje | Development Studies | Development Studies |
| Obitelj | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 2000 | 1980 |
| Tvorac≠ | Frank Ellis; CIFOR Poverty Environment Network | World Bank (Living Standards Measurement Study programme) |
| Vrsta≠ | Multi-source income and assets household survey | Multi-topic integrated household survey |
| Temeljni izvor≠ | Ellis, F. (2000). Rural Livelihoods and Diversity in Developing Countries. Oxford: Oxford University Press. ISBN: 9780198296966 | Grosh, M., & Glewwe, P. (Eds.). (2000). Designing Household Survey Questionnaires for Developing Countries: Lessons from 15 Years of the Living Standards Measurement Study. Washington, DC: World Bank. ISBN: 9780821345283 |
| Drugi nazivi≠ | Livelihood survey, Household income survey, Rural livelihoods survey, Income and assets survey | LSMS, LSMS Survey, Living Standards Survey, Integrated Household Survey |
| Srodne | 4 | 4 |
| Sažetak≠ | A household livelihood survey is an instrument designed to capture the full portfolio of activities, income sources, assets, and expenditures through which a household secures its living. Rooted in the rural-livelihoods literature associated with Frank Ellis and in global comparative income studies such as the CIFOR Poverty Environment Network, it measures welfare and resilience by mapping the diversity of a household's economic activities — farming, wage labour, self-employment, environmental harvesting, transfers, and remittances — rather than reducing the household to a single income or consumption figure. | The Living Standards Measurement Study (LSMS) is a multi-topic integrated household survey programme launched by the World Bank in 1980 to improve the quality of household data for measuring and analysing welfare in developing countries. Built around a modular questionnaire that links a detailed household interview to community and price questionnaires, the LSMS measures living standards through consumption expenditure rather than income, and connects welfare outcomes to their determinants — employment, education, health, agriculture, and access to services — within a single, internally consistent dataset. |
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