Evaluating sector support using secondary data
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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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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

Under construction: IOB impact evaluations

  • Water and sanitary facilities

    • Pilot in Shinyanga (Tanzania); program

  • Primary education (sector support)

    • Zambia

    • Uganda


Impact evaluation primary education

Impact evaluation Primary education

  • Development of primary education:

    • access

    • equity

    • learning achievement

  • Main determinants?

  • Cost-effectiveness of interventions?


Methodology

Methodology

  • Regression based approach (education production function)

  • Analysis at the school level


The evaluation model

The evaluation model


Evaluating sector support using secondary data

Interventions

School characteristics

Infrastructure

Teaching

materials

Teachers

School quality

Access

Learning achievement

Pupil

Household

Community characteristics

Welfare outcomes


Evaluating sector support using secondary data

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)


Evaluating sector support using secondary data

Interventions

School characteristics

Infrastructure

Teaching

materials

Teachers

E M I S

School quality

Access

Learning achievement

UNEB

Pupil

Household

Community characteristics

Welfare outcomes


Challenges when evaluating sector support

Challenges when evaluating sector support

  • Attribution problem

  • Selection effects

  • Unobservables

  • Heterogeneity of interventions


Treatment of unobservables

Treatment of unobservables

  • Check on random allocation of interventions

  • Double differencing

  • Exploitation of natural restrictions

  • Triangulation


Quality of data

Quality of data

  • Analyse consistency through the linking of data

  • Systematic errors may be treated as unobservables


Conclusions

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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