Impact Evaluation of Policies and Programmes: Estimation and Analysis of Causal Impacts

Course Description:

Impact evaluations have become routine elements of programme implementation due to their ability to build accountability and learning for policymakers, non-governmental organisations, donors and affected populations. Conducting impact evaluations in the real world can be a difficult process and may require a blend of techniques to obtain impact estimates. This course builds upon the introductory course on impact evaluation and provides a hands-on approach to estimating and analysing causal impacts using various techniques. These include randomised control trials and designs, regression discontinuity design, difference in differences, propensity score matching and instrumental variables method. Students will learn how to conduct an in-depth econometric estimation/analysis of causal impacts.

Audio-visual lessons will be provided together with datasets and step-by-step analysis guides to using various impact evaluation techniques in Stata software. Lessons and case studies will give participants a knowledge base to help them understand the applicability of methods to a given set of circumstances. The final assignment/exam, will put the student’s newly acquired skills to the test by presenting her/him with a dataset and the task to perform a mock impact evaluation. Interested students should have intermediate knowledge of statistical analyses or econometrics. For example, they should already know how to obtain descriptive statistics, conduct t-tests and basic regression analysis. They should also be familiar with the Stata data processing and data analysis software. The course will offer online lectures, online discussion boards, assignments, weekly tutorial meetings to discuss readings and assignments, and an oral exam at the end of the course.

Key Concepts:

• Estimation of causal impacts
• Conducting validity tests and sensitivity analyses
• Using Stata for analysis

Learning Goals

• Having knowledge of:
  • How to execute randomised and quasi-experimental impact estimations
  • Software code for data analysis
• Understanding:
  • How to identify causal estimates of impacts through various techniques
  • How to assess robustness and validity of each technique

Prerequisites:

A Master degree (or equivalent) in Social Sciences. Knowledge in econometric analysis. Basic understanding of impact evaluation purposes and methods.

**Please note that the course is a follow up of our “Introduction to impact evaluations of policies and Programmes” course. That course contains materials on when to do an impact evaluation, what is allows you to conclude, and what forms of evaluation exist. It does not include materials or exercises in which you will do an impact evaluation yourself. In this online course “Impact Evaluation of Policies and Programs Estimation and Analysis of Causal Impacts” we designed as follow up which offers exercises in how to do an econometric impact evaluation. In case you lack basic understanding of what an impact analysis is or how to interpret impact analysis outcome data, we recommend you to take the introduction course first.

Course completion, ECTS, edubadges and estimated workload :

The course is completed once you fulfill the course requirements and pass the assignments. Your coursebook will also include the explanation of resit options. Participants will receive 2 ECTS equivalence credits and the certification will be offered through an online educational badge. The estimated workload is 60 hours, including 10-15 hours per week and 10-15 hours per assignments/oral exam.

Cost:

Group based participation EUR 500,-
Individual participation EUR 600,-

Required Readings:

The cost of the course does not include expenses for books or hardcopies of the course material. Course materials can all be downloaded by the participant him/herself.

Starting date, enrollment time and payment :

Individual sign up, with starting date to be agreed with the tutor

PLEASE NOTE THAT WE WILL CLOSE GROUP REGISTRATIONS AT 10 PARTICIPANTS, BASED ON FIRST PAID FIRST SERVE RULE.

You will be enrolled for 10 weeks, including 1 week to access the platform and become familiar with the materials, 4 weeks of coursework, 2 weeks to submit the last assignment and 3 weeks for potential resit time.
In case you prefer to use the 10 weeks in a different way, please agree with your tutor during your first exchange.

To pay the tuition fee, please make the transfer to the following account. Upon payment, you will be registered as student, and contacted by your tutor. On average, this takes 1-2 weeks.

Download the coursebook