The workshop aims to cope with a crucial requirement for incorporating impact evaluation (IE) contained program design: a practical and theoretical information of impact evaluation techniques to allow alternative of ideal methodologies, which could has an extensive appraisal  ensuing evidence. After the training the participants can provide qualitative and quantitative analysis methods for the impact evaluation after which provide them an expertise within the crucial comprehension of all the roles they're competent to accomplish in the format and analysis of the public policy. The employees tackle the issues of mastering STATA, NVIVO and certainly the intricacies of analysis research models and also econometric methods.
Who Can Attend?

This particular process is best for researchers, project personnel, superiors, advancement providers, policy businesses within the federal authorities, NGOs as well as development organizations which will would want determining the result of the interventions of theirs.

No of Days: Ten Days

Objectives

• Perform a rigorous influence analysis of projects
• Learn and achieve econometric methods for impact evaluation
• Learn about analysis problem: Attribution, placement and selection biases
• Learn about practices and theories of impact evaluation

Training Content on Impact Evaluation For Evidence Based Policy in Development

Brief on M&E Fundamentals for Impact Evaluation

• Results Framework
• M&E Project Indicators
• Logical Framework
• Performance Evaluation

Introduction to Impact Evaluation

• Defining impact evaluation
• Deciding whether to evaluate
• Attribution in impact evaluation
• Contribution vs attribution

Figuring out areas of Impact Evaluation

• Types of evaluation questions
• Theories of Change
• The results chain
• Evaluation hypothesis
• Impact evaluation indicators

Impact Evaluation Counterfactuals

• Causal reference
• Comparison groups and counterfactuals
• Estimating counterfactual in impact evaluation
• Impact Evaluation when a Comparison and Baseline Data are not available

Research Designs in Impact Evaluation

• Experimental Design
  • Randomized Control Trials
• Quasi experimental designs
  • Regression Discontinuity
  • Difference-in-Difference
  • Matching
• Non-experimental designs

Sampling in Impact Evaluation

• Sampling techniques in Impact Evaluation
• Sample size calculation,
• Sampling weight
• Statistical power
• Constructing valid comparison groups

Quantitative Data Analysis for Impact Evaluation

Randomized Impact Evaluation

• Setting the counterfactual
• Statistical Design of Randomization
• Impacts of Program Placement
• Impacts of Program Participation
• Capturing Both Program Placement and Participation
• Measuring Spillover Effects

Propensity Score Matching Technique (PSM)

• Introduction to PSM
• Application of PSM in Impact Evaluation
• Constructing propensity scores
• Matching Analysis (Nearest-Neighbour, Stratification, Radius, Kernel )
• Common support
• Doubly Robust Estimation

Difference in Difference Method

• What is DID?
• Application of DID in Impact Evaluation
• Estimating DID estimator: Single DID, DID with covariates, Quantile DID
• DID for Cross-Sectional Data
• Balancing Tests
• Diff-in-Diff with Propensity Score Matching

Qualitative Approaches Within Impact Evaluation

• Most Significant Change
• Outcome Mapping
• Outcome Harvesting
• Appreciative Inquiry

Producing and Disseminating Impact Evaluation findings

• Impact Evaluation Plan
• Impact Evaluation Reports: Baseline report, Impact Evaluation Reports
• Case studies