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Policy and program design and evaluation with Stata

Level:
Intermediate
Duration:
6 hours
Award:
Certificate of completion
Price:
K50,000
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What you'll learn

  • Understand a theory of causal inference that covers both random assignment and observational studies, including quasi-experimental and non-experimental studies
  • Identify the assumptions needed to infer causality in evaluations
  • Describe, compare and contrast six, promising alternatives to random assignment studies for inferring causality, including the requirements for implementing these designs, the strengths and weaknesses of each, and examples from evaluations where these designs have been applied.
  • Understand the various Statistical method for monitoring and impact evaluation

Description

The purpose of this course is to train project evaluator and researchers on research methodologies for causal inference in policy design and evaluation.

The course will cover some theory on causal inference and its application in Stata (Or/and R)

Requirements

Course Outline

Day 1: Introduction to policy and program evaluation

  • Basics of policy and program evaluation
  • Revision of basic econometrics

Day 2: Alternatives to random assignment studies for inferring causality

  • Introduction to policy evaluation designs and methodology
  • Randomisation
  • Difference in Difference
  • Regression discontinuity
  • Propensity score matching
  • Instrumental Variables

Day 3: Stata Applications

  • Randomisation
  • Difference in Difference
  • Regression discontinuity
  • Propensity score matching
  • Instrumental Variables
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Stata

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Data Management, Inference, statistics for research in Stata

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Duration:
6 hours
Price:
K50,000