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Access to micro-data: Experience from using data for agricultural policy analysis

This conference by Catherine Moreddu of the OECD Agriculture Directorate explores the importance of disaggregated data for analyzing agricultural policies and their impacts. It discusses the need for micro-level data in income studies, decoupling analysis, and agricultural policy and trade reform assessments. The conference also addresses data issues and lessons learned, and proposes initial objectives for a research network on this topic.

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Access to micro-data: Experience from using data for agricultural policy analysis

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  1. Access to micro-data: Experience from using data for agricultural policy analysis Catherine Moreddu OECD, Agriculture Directorate OECD conference: Assessing the feasibility of micro-data access, Luxembourg, 26-27 October 2006

  2. A user’s point of view The Directorate for Food, Agriculture and Fisheries of the OECD: • analyses policy issues • evaluates current policies and policy reform wrt to their objectives and to reform principles (including equity)

  3. Why disaggregated information is needed for agricultural policy analysis? • Policies (policy reform) have distributional impacts, some have distributional objectives • Increasing interest in these issues: increasing heterogeneity in farm households, payments more visible, targeting, etc. • More quantitative approaches (econometrics) • Many government-related institutes are engaged in this type of work Need for disaggregated (micro-level) data

  4. Recent examples • Income study:distribution of support and impact on the distribution of income • Decoupling:estimation of the impact of different types of payments on farmers’ production decisions (risk aversion) • Agricultural policy and trade reform:potential effects at global, national and household levels

  5. Different types of analysis • Data analysis • Econometric and modelling analysis

  6. Approaches • Income study: • LIS: Frequency of low-income households • Customised FADN groups (quartiles, deciles): distribution of support • Decoupling: • Consultant with access to micro data (FADN, insurance data) to do the analysis • Agricultural policy and trade reform: • Consultants with access to survey data, or • Consultants to merge existing data sources into a database to do the analysis

  7. Data issues • Coverage (off-farm income, small farms) • Frequency and timeliness (farm income variability) • Panel • Small number of farm households in general surveys • Confidentiality (limits access and matching of data sources) • Political sensitivity (income)

  8. Lessons • It is crucial for agricultural policy analysis to be able to use disaggregated information • Regular analysis at micro-level is beyond AGR resource availabilities • National research institutes would be better placed: • Access to data • Technical expertise • Country knowledge Network

  9. First phase: 2007-08 • OECD (Secretariat and delegates) to suggest the type of policy issues, which will determine: • the scope and data needs: OECD countries, farm or rural households? • experts and institutes with adequate access to data and expertise, and interested in collaboration • OECD role: organiser, synthesis reports • Network expert meetings to identify: • priority research issues • Data availability • Analytical approach • Time table

  10. Initial thoughts on objectives • Identify data availability:Comparing definitions and availability of data concerning the economic and financial status of farm households in OECD Member countries • Undertake research based on those data, e.g. • Evaluate the income situation of farm households • distributional consequences of agricultural and trade policy reform • linkages between the diversification of income sources and the rural economy • Allow flexibility in analytical approaches: no “one size fits all”

  11. Your views are welcome on: • Attractivity for partners • Feasibility • Institutional setting: role for the OECD, relationships with existing networks, incentives

  12. Thank you for your attention

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