Introduction to Impact Evaluation (postponed)
Date:
22/07/2020
Organised by:
NCRM, University of Southampton and MiSoc, University of Essex
Presenter:
Professor Mike Brewer
Level:
Entry (no or almost no prior knowledge)
Contact:
Jacqui Thorp
Training and Capacity Building Co-ordinator
Tel: 02380594069
Email: jmh6@soton.ac.uk
Description:
THIS COURSE IS POSTPONED DUE TO THE CORONAVIRUS. NEW DATE TBC.
The day-long course will introduce you to various empirical, quantitative methods that can be used to estimate the impact of a specific policy intervention. These methods can be referred to as “programme evaluation”, “impact assessment”, “causal estimation” or “impact evaluation”. The course assumes basic statistical concepts (mean, median, correlation, expected value, statistical significance and confidence intervals), and algebra is optional. It does not teach participants how to implement any of these methods using statistical software.
The course covers:
- The evaluation problem, and how randomized experiments solve the problem
- An intuitive explanation of the advantages and disadvantages of matching, including propensity score matching; quasi-experimental methods such as instrumental variables; and difference-in-differences
- It does not teach participants how to implement any of these methods using statistical software
By the end of the course participants will:
- Be able to think about evaluation in terms of “counterfactuals” and “informative contrasts” (or comparisons)
- Be able to explain intuitively the conditions under which propensity score matching, instrumental variables and difference-in-differences are likely to produce unbiased estimates of the impact of an intervention
- Be able to assess whether an actual or proposed design for an impact evaluation is likely to give reliable results, given the nature of the policy under consideration
This course is aimed at PhD students, junior researchers and Government and third sector researchers and analysts interested in quantitative methods for impact evaluation.
Cost:
The fee per teaching day is:
• £30 per day for students registered at UK/EU University.
• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
• £220 per day for all other participants
All fees include event materials, morning and afternoon tea/coffee. They do not include lunch, travel and accommodation costs.
In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date.
If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of the cancellation of a course, including but not limited to any travel or accommodation costs.
The University of Southampton’s Online Store T&Cs also continue to apply.
Website and registration:
Region:
Greater London
Keywords:
Quasi-Experimental Research, Evaluation Research, Regression Methods
Related publications and presentations from our eprints archive:
Quasi-Experimental Research
Evaluation Research
Regression Methods