CSA Data from a User’s Perspective Alemayehu Seyoum Taffesse Presentation to the  African Statistics Day  Workshop Novembe...
Outline <ul><li>CSA Data – What is collected; </li></ul><ul><li>CSA Data – Achievements; </li></ul><ul><li>CSA Data – Some...
CSA Data – What is collected? <ul><li>Annual  </li></ul><ul><ul><li>Agricultural Sample Survey – detailed production data ...
CSA Data – Achievements <ul><li>Coverage  </li></ul><ul><ul><li>Considerable; </li></ul></ul><ul><ul><li>Regular;  </li></...
CSA Data – Some Gaps <ul><li>Coverage  </li></ul><ul><ul><li>Spatial - Pastoral areas; </li></ul></ul><ul><ul><li>Topic/Di...
CSA Data – Some Suggestions <ul><ul><li>(aware of NSDS, Mid-term plans; appreciate the capacity constraints) </li></ul></u...
CSA Data – Some Suggestions <ul><ul><li>Methodological - Specific </li></ul></ul><ul><ul><li>Expand the use of recall ques...
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CSA data from a user’s perspective

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Ethiopian Development Research Institute and International Food Policy Research Institute (EDRI/IFPRI) Seminar Series, November 28, 2011

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CSA data from a user’s perspective

  1. 1. CSA Data from a User’s Perspective Alemayehu Seyoum Taffesse Presentation to the African Statistics Day Workshop November 28, 2011 Addis Ababa
  2. 2. Outline <ul><li>CSA Data – What is collected; </li></ul><ul><li>CSA Data – Achievements; </li></ul><ul><li>CSA Data – Some gaps; </li></ul><ul><li>CSA Data – Some suggestions; </li></ul>
  3. 3. CSA Data – What is collected? <ul><li>Annual </li></ul><ul><ul><li>Agricultural Sample Survey – detailed production data ( 30 years old ); </li></ul></ul><ul><li>Large and Medium Manufacturing Enterprises Survey – detailed operations data (until recently a census); </li></ul><ul><li>Prices; </li></ul><ul><li>Administrative data – Education, health, trade, financial sector, government finances (complied from different sources for the Statistical Abstract Ethiopia); </li></ul><ul><li>Periodic – regular and irregular </li></ul><ul><li>Population and Housing Census – every ten years; </li></ul><ul><li>Household Income, Consumption, and Expenditure Survey - every five years; </li></ul><ul><li>Welfare Monitoring Survey; Demographic and Health Survey (every five years); </li></ul><ul><li>Labour force survey, Urban Unemployment; </li></ul><ul><li>Small scale industries surveys, Handicrafts and cottage industries survey; </li></ul><ul><li>Informal sector; </li></ul><ul><li>Distributive services, Transport and communications </li></ul><ul><li>Requested/Project specific </li></ul><ul><li>Example – PSNP, </li></ul>
  4. 4. CSA Data – Achievements <ul><li>Coverage </li></ul><ul><ul><li>Considerable; </li></ul></ul><ul><ul><li>Regular; </li></ul></ul><ul><li>Timeliness </li></ul><ul><li>Significantly improved, particularly for annual surveys and Abstract; </li></ul><ul><li>Quality </li></ul><ul><ul><li>Improved </li></ul></ul><ul><li>Accessibility </li></ul><ul><li>Better; </li></ul>
  5. 5. CSA Data – Some Gaps <ul><li>Coverage </li></ul><ul><ul><li>Spatial - Pastoral areas; </li></ul></ul><ul><ul><li>Topic/Dimension – </li></ul></ul><ul><ul><ul><li>Household time use (adults, children); </li></ul></ul></ul><ul><ul><ul><li>Cost of agricultural production; </li></ul></ul></ul><ul><ul><ul><li>Agronomic characteristics; </li></ul></ul></ul><ul><ul><ul><li>Natural resources; </li></ul></ul></ul><ul><ul><li>Temporal – Panel </li></ul></ul><ul><li>Measurement </li></ul><ul><li>Post-harvest losses – economic vs. biological yield; </li></ul><ul><li>Storage; </li></ul><ul><li>Quality </li></ul><ul><li>Transparent and regular data quality assessment mechanism; </li></ul>
  6. 6. CSA Data – Some Suggestions <ul><ul><li>(aware of NSDS, Mid-term plans; appreciate the capacity constraints) </li></ul></ul><ul><ul><li>Structural </li></ul></ul><ul><ul><ul><li>Form and actively engage targeted advisory panels; </li></ul></ul></ul><ul><ul><ul><li>Initiate and build in-house research; </li></ul></ul></ul><ul><ul><ul><li>Explore ways of further enhancing autonomy; </li></ul></ul></ul><ul><li>Methodological - Broad </li></ul><ul><ul><li>Engage in regular and public review of methodology; </li></ul></ul><ul><ul><li>Conduct collaborative in-depth validation surveys and studies; </li></ul></ul><ul><ul><li>Collect panel data (rotating panel); </li></ul></ul><ul><ul><li>Appropriately use modelling (e.g. small area estimation); </li></ul></ul>
  7. 7. CSA Data – Some Suggestions <ul><ul><li>Methodological - Specific </li></ul></ul><ul><ul><li>Expand the use of recall questions as a complimentary device (e.g. farm output); </li></ul></ul><ul><ul><li>Collect actual yield for a subsample of fields by weighing the harvested output; </li></ul></ul><ul><ul><li>Improve information gathering on extension, agronomic factors, and pastoral areas; </li></ul></ul><ul><ul><li>Access </li></ul></ul><ul><ul><ul><li>Charge for access; </li></ul></ul></ul><ul><li>Support </li></ul><ul><ul><li>Work more closely with research organisations and with the professional associations (Statistics, Economics, ...) </li></ul></ul>

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