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MODULE 3. Price Incentives and Disincentives SESSION 3. Data Management and Documentation

MODULE 3. Price Incentives and Disincentives SESSION 3. Data Management and Documentation. Module objectives:. Share a common framework for data gathering, analysis and storage Provide a consistent background documentation for each data included. Data storage.

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MODULE 3. Price Incentives and Disincentives SESSION 3. Data Management and Documentation

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  1. MODULE 3. Price Incentives and DisincentivesSESSION 3. Data Management and Documentation

  2. Module objectives: • Share a common framework for data gathering, analysis and storage • Provide a consistent background documentation for each data included

  3. Data storage • Basic Excel workbook “TEMPLATE FINAL TRIS.XLSX” • Introduce as many sheets as products in the list • Cells highlighted in yellow need to be filled in • Set local currency and reference currency for units • Price in International currency (i.e. EUR/TON, USD/TON) in cell C6 • Exchange rate (i.e. KSH/USD) in cell C7 • Price In local currency (i.e. KSH/TON) in cell C8 • Select type of product (import / export) in cell G4 • Sets note for benchmark price • Sets calculations for access costs

  4. Data storage • Introduce data for concepts and relevant years • Introduce production volumes in rows “58”for calculating total incentive or disincentive for product • The data introduced then feeds into the built-in formulae as explained in module 2 • In particular: • Defining the product as export or import • Including data for the “shadow concepts”

  5. Data Documentation • In each country data availability guides decisions on how to treat the data • Ideally this documentation should allow to recalculate data if approaches are not consistent across countries and/or commodities • For each data point fill in the document “Data_backup_information.doc” • If there is no data available for a specific concept the document should document the closest data available and potential paths to gather that data. • This document should be the backbone of the data gathering exercise and allow other users to: • check consistency of decisions made across countries and commodities • replicate the analysis in subsequent years

  6. Thank you!

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