Impact Evaluation (fully booked)
Date:
07/06/2016 - 08/06/2016
Organised by:
SSRMC - University of Cambridge
Presenter:
The course will be led by Professor Anna Vignoles from the Faculty of Education, University of Cambridge, who will be working with Ben Alcott, University of Michigan and University of Cambridge.
Level:
Intermediate (some prior knowledge)
Contact:
Siobhan Hoffmann Heap
ssrmc@hermes.cam.ac.uk
Map:
View in Google Maps (CB2 3EN)
Venue:
Department of Geography
University of Cambridge
Downing Place
Cambridge
Description:
Target audience
The target audience for this course will be students, government researchers and other academic researchers who are keen to learn more about impact evaluation and the associated statistical techniques. Familiarity with regression analysis would be an advantage for this course. Knowledge of descriptive and inferential statistics is required.
What will be covered?
This course aims to provide students with a range of specific technical skills that will enable them to undertake impact evaluation of policy. Too often policy is implemented but not fully evaluated. Without evaluation we cannot then tell what the short or longer term impact of a particular policy has been. On this course, students will learn the skills needed to evaluate particular policies and will have the opportunity to do some hands on data manipulation. A particular feature of this course is that it provides these skills in a real world context of policy evaluation. It also focuses primarily not on experimental evaluation (Random Control Trials) but rather quasi-experimental methodologies that can be used where an experiment is not desirable or feasible.
The specific topics to be covered in this course include:
- Regression-based techniques
- Evaluation framework and concepts
- The limitations of regression based approaches and RCTs
- Before/After, Difference in Difference (DID) methods
- Computer exercise on difference in difference methods
- Instrumental variables techniques
- Regression discontinuity design.
Learning the skills needed to undertake impact evaluation is important for future career development and those likely to benefit from this course include PhD students, government researchers and other academic researchers who are keen to learn more about impact evaluation and the associated statistical techniques. Participants will also get the opportunity to develop some skills in the use of STATA software. Familiarity with regression analysis would be an advantage for this course. Knowledge of descriptive and inferential statistics is required.
The course will be led by Professor Anna Vignoles from the Faculty of Education, University of Cambridge, who will be working with Ben Alcott, University of Michigan and University of Cambridge.
Cost:
Free
Region:
East of England
Keywords:
Randomized Control Trials (RCT), Difference-in-differences (DID), Instrumental variables, Policy evaluation, Regression Methods, Research Management and Impact (other)
Related publications and presentations:
Randomized Control Trials (RCT)
Difference-in-differences (DID)
Instrumental variables
Policy evaluation
Regression Methods
Research Management and Impact (other)