Impact Evaluation from Evidence Generation to Utilization in Public Sector

Objective of the Course:
A dominant feature of empirical research in economics in the past two decades has been the “credibility revolution” in empirical research that has prioritized the generation of credible causal estimates of the impact of policies and programs.

This course will present an overview of the major techniques for impact evaluation (with a practical guide to using them and the assumptions under which they are valid) and focus on the design, execution, analysis, and interpretation of randomized field experiments.

This course will also show how qualitative methods can be combined with quantitative methods to both measure the impact of interventions and understand the processes and mechanisms underlying that impact. It will briefly introduce methods to collect qualitative data such as open-ended interviews, Participatory Appraisal Methods, Focus Group Discussions, and textual data. It will also introduce methods for analyzing that data, including coding systems and structures, and text-as-data methods.

And it will show how qualitative methods can be integrated with quantitative methods by studying papers using mixed-methods analysis for different topics and contexts.

Who is it for?
This short course is designed for researchers, teachers, and consumers of impact evaluation and will provide opportunities for discussion of practical issues in implementing each of these techniques.
The goal is to get participants comfortable with reading and evaluating papers using these techniques, implement them in your own research, and teach them to your students in advanced undergraduate and master’s courses.

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Location:

South Africa

Training Dates:

Each course starts every Monday of each week. Please book your training on a date that is a Monday.

Course Duration:

Unit Standard:

NQF Level:

Number of Credits:

Course Fees

Note: Please fill in the online application form on the left or bottom if this page to receive a quotation with detailed pricing from AATICD.

How to Apply:

To Apply Simply Fill in the Online Enquiries / Applications form on the Right Sidebar or Bottom of this website https://www.aaticd.co.za

NB: Terms and Conditions for Payment and Refunds

1.1. Full payment for the training workshop must be made at least 5 days before the scheduled workshop date.

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2. Cancellation and Refund Policy

2.1. Cancellations made 30 days or more before the workshop date will be eligible for a full refund, minus any administrative fees.

2.2. Cancellations made 15 to 29 days before the workshop date will be eligible for a 50% refund of the total payment.

2.3. Cancellations made less than 14 days before the workshop date will not be eligible for a refund.

2.4. Participants who fail to attend the workshop without prior notice will not be eligible for a refund.

3. Rescheduling

3.1. If a participant wishes to reschedule, a request must be submitted at least 14 days in advance, subject to availability.

3.2. A rescheduling fee may apply.

4. Workshop Cancellation by the Organizer

4.1. AATICD reserves the right to cancel or reschedule the workshop due to unforeseen circumstances, including but not limited to low enrolment, trainer unavailability, or force majeure events.

4.2. In the event of cancellation by AATICD, participants will be offered a full refund or the option to attend a rescheduled session.

4.3. AATICD is not responsible for any additional costs incurred by participants, such as travel or accommodation expenses.

5. Refund Processing

5.1. Approved refunds will be processed within 7 business days from the date of cancellation approval.

5.2. Refunds will be issued using the original payment method unless otherwise agreed.

6. Contact Information

For any questions regarding payments and refunds, please contact us at:

Email: apply@aaticd.co.za

Phone: +27 73 016 5042

By registering for the workshop, participants agree to abide by these terms and conditions.

In-House Trainings are also available for 3 or more delegates for any duration. Please consult with our Administration for such In-House training bookings.

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Course Outline

Course Outline:

1. Potential Outcome Framework, Counterfactuals, and Selection Bias
2. Matching Estimators and Instrumental Variables
3. Regression Discontinuity Estimators
4. Differences in Differences Estimators
5. Randomized Experiments: Design, Data Collection, and Power Calculations
6. Randomized Experiments: Analysis and Interpretation
7. Randomized Experiments: Applications to Education & Health
8. Randomized Experiments: Applications to Anti-Poverty Programs
9. Introduction to Qualitative Data Collection
10. Introduction to Mixed Methods