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Evaluating sector support using secondary data

Evaluating sector support using secondary data. Antonie de Kemp Policy and Operations Evaluation Department Netherlands Ministry of Foreign Affairs. Under construction: IOB impact evaluations. Water and sanitary facilities Pilot in Shinyanga (Tanzania); program

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Evaluating sector support using secondary data

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  1. Evaluating sector support using secondary data Antonie de Kemp Policy and Operations Evaluation Department Netherlands Ministry of Foreign Affairs

  2. Under construction: IOB impact evaluations • Water and sanitary facilities • Pilot in Shinyanga (Tanzania); program • Primary education (sector support) • Zambia • Uganda

  3. Impact evaluation Primary education • Development of primary education: • access • equity • learning achievement • Main determinants? • Cost-effectiveness of interventions?

  4. Methodology • Regression based approach (education production function) • Analysis at the school level

  5. The evaluation model

  6. Interventions School characteristics Infrastructure Teaching materials Teachers School quality Access Learning achievement Pupil Household Community characteristics Welfare outcomes

  7. Data • Annual school census data (EMIS) • Test and examination results • Population census data (2002) • Demographic and Health surveys (Education data, 2001) • Management information from inspection reports • Additional survey (financial information, attendance rates, teacher absenteeism)

  8. Interventions School characteristics Infrastructure Teaching materials Teachers E M I S School quality Access Learning achievement UNEB Pupil Household Community characteristics Welfare outcomes

  9. Challenges when evaluating sector support • Attribution problem • Selection effects • Unobservables • Heterogeneity of interventions

  10. Treatment of unobservables • Check on random allocation of interventions • Double differencing • Exploitation of natural restrictions • Triangulation

  11. Quality of data • Analyse consistency through the linking of data • Systematic errors may be treated as unobservables

  12. Conclusions • At the sector level, interventions are heterogeneous and therefore an evaluation will rely mainly on secondary data. • In the social sectors, data become increasingly available. • Impact evaluations of sector support may help to analyse important issues. • Evaluation agencies must become familiar with the methods and techniques of rigorous impact evaluations. • We must further develop the methods for analysing secondary data. • It’s important to work closely together with partner countries.

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