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Agricultural Survey Design : Lessons from the LSMS-ISA and Beyond (English)

This volume is organized to assess innovations in agricultural survey design, provide practical recommendations on the design and tradeoffs inherent in agricultural survey modules, and lastly to provide lessons learned on the organization of fieldwork and the linkage of agricultural household data to other data sources. In the next chapter, Chapter two, authors assess recent methodological research conducted by the LSMS team and the academic community to inform current best practice recommendations. The authors discuss topics including questionnaire design, respondent selection, units of analysis, timing of data collection to understand seasonality, recall periods, and innovations in the measurement of production, land, and agricultural labor. In chapter three, authors discuss the design of agricultural production modules, particularly as they relate to the organization, unit of analysis, and differences in production modules by agricultural system (field crops, root crops, and agroforestry). Chapter four addresses the design of modules to measure agricultural factors of production given plot-level reporting including labor, capital, inputs (fertilizer and seed), and water management. Chapter five covers livestock production for which previous multi-topic survey design attention has been limited. In chapter six, authors provide practical guidance for the collection of agricultural data in a multi-topic household survey including field work logistics, some perspectives of implementers including NSOs, NGOs, and researchers. To conclude, authors summarize key lessons learned and highlight future methodological research which may be promising to advance agricultural survey design methodology in chapter seven. In the appendices, authors provide a reference questionnaire, which we use as a basis for discussing agricultural survey design choices throughout this volume.

Details

  • Author

    Dillon,Andrew S., Carletto,Calogero, Gourlay,Sydney, Wollburg,Philip Randolph, Zezza,Alberto

  • Document Date

    2021/09/01

  • Document Type

    Report

  • Report Number

    164604

  • Volume No

    1

  • Total Volume(s)

    1

  • Country

    World,

  • Region

    The World Region,

  • Disclosure Date

    2021/09/30

  • Disclosure Status

    Disclosed

  • Doc Name

    Agricultural Survey Design : Lessons from the LSMS-ISA and Beyond

  • Keywords

    survey design; united states agency for international development; household survey; gender-based analysis; headed household; agricultural survey; agricultural production; land area; survey methodology; household and individual; agricultural household model; nationally representative survey; agricultural data; measurement error; land management technique; primarily due; land use right; household level data; unit of measurement; land tenure security; asset and liability; place of residence; international development goal; ownership of land; determinants of poverty; global positioning system; source of food; data collection technique; research design; agricultural labor; conversion factor; production function; household head; field visits; agricultural measurement; agricultural input; longitudinal survey; survey implementation; methodological research; field crop; fertilizer use; agricultural statistic; Agricultural Statistics; agricultural sector; agricultural season; agricultural productivity; knowledge gap; agriculture sector; survey household; individual level; agricultural activity; income statement; data quality; agriculture system; crop production; national statistical; best practice; legal form; agricultural information; input use; statistical agency; month period; Livestock Production; labor productivity; nuclear family; farm productivity; farm profits; cash crop; land holding; coffee farmer; production technology; agricultural land; sdg indicators; household welfare; household labor; causal effect; empirical estimate; rural livelihood; household data; sampling strategy; land owner; crop diversity; standard deviation; computer assist; development work; household consumption

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Citation

Dillon,Andrew S. Carletto,Calogero Gourlay,Sydney Wollburg,Philip Randolph Zezza,Alberto

Agricultural Survey Design : Lessons from the LSMS-ISA and Beyond (English). LSMS Guidebook Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/570941632979626559/Agricultural-Survey-Design-Lessons-from-the-LSMS-ISA-and-Beyond