Impact Evaluation for Evidence-Based Policy in Development Course

Project Management, Training

Start date

24/05/2021

End date

28/05/2021

Overview

Introduction

The course aimed to address an important prerequisite for incorporating impact evaluation (IE) into programme design: a theoretical and practical understanding of IE approaches to enable selection of appropriate methodologies, coupled with careful appraisal of the resulting evidence. The course introduced participants to current quantitative as well as qualitative evaluation techniques for impact evaluation and gave them an insight into the critical understanding of the roles they can play in the design and assessment of public policy and development interventions. The group enthusiastically tackled the difficulties of learning STATA, NVIVO and the intricacies of evaluation research designs and econometric techniques, all bolstered by the support of the experienced teaching team.

Who Should Attend?

This course is targeted at researchers, project staff, managers, development practitioners, policy makers in government, NGOs and development organizations who want to determine the impact of their interventions.

No of Days

5 Days

Course Objectives

  • Conduct a rigorous impact evaluation of a project
  • Learn and practice econometric techniques for impact evaluation
  • Carry out impact data analysis using Propensity Matching and Difference-in -Difference
  • Understand IE designs: randomized, quasi and non-experimental
  • Learn about evaluation problem: Attribution, selection and placement biases
  • Learn about theories and practices of impact evaluation
  • Conduct sampling and power calculation
  • Report and disseminate impact evaluation findings

Course Outline

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What you will learn

Course Objectives

  • Conduct a rigorous impact evaluation of a project
  • Learn and practice econometric techniques for impact evaluation
  • Carry out impact data analysis using Propensity Matching and Difference-in -Difference
  • Understand IE designs: randomized, quasi and non-experimental
  • Learn about evaluation problem: Attribution, selection and placement biases
  • Learn about theories and practices of impact evaluation
  • Conduct sampling and power calculation
  • Report and disseminate impact evaluation findings