Summer school on impact evaluation methodologies

Posted by on Nov 21, 2014 in Blog, Servizi | No Comments

The first edition of the ARCO Lab Summer School on Methodologies for Impact Evaluation will be held in Florence on the 17th-18th and 19th June 2015 and is directed to consultants, doctoral and post doctoral students, academics, as well as anyone interested in methods used in evidence-based policy making.

Prof. Donald B. Rubin and Prof. Fabrizia Mealli will be among the instructors of the summer school. Participants will have the opportunity to appraise cutting-edge methodologies directly from some of the scholars who are currently setting the methodological frontier.
The school will also be a valuable opportunity for networking with other impact evaluation professionals coming from diverse fields while enjoying the beauty of Florence.

Course Structure

The school offers a combination of teaching sessions in the morning followed by presentations of practical examples and case studies in the afternoon.

Schedule and main topics
For each day of the course (17th-18th-19th June 2015) there will be coffee breaks from 11:00 to 11:15 and from 15:30 to 15:45. Buffet lunch will be from 12:30 to 13:30.

17th June
9:30 – 17:30
Introduction to Causal Inference. Causal inference and the Rubin Causal Model. Potential outcomes. Assignment mechanism. Randomized experiments. Different modes of inference.

18:30 Networking Aperitivo at “Caffetteria delle Oblate” in Via dell’Oriuolo, 26, 50122 Firenze

18th June
9:30 – 17:30
Observational Studies. Unconfoundedness assumption. The role of the propensity score in designing observational studies. Estimating average treatment effects. Matching. Sensitivity analysis.

19th June
9:30 – 17:30
Causal inference with instrumental variables (IV) bridging randomized trials with noncompliance. Other broken randomized experiments: principal stratification. Regression discontinuity (RDD) designs: sharp and fuzzy designs.

From 15:30 to 17:00 Question time with Prof. Donald B. Rubin

How to prepare for the course

In order to derive the maximum benefit from the course, participants should possess basic knowledge of statistics and economics i.e. basic principles of multivariate analysis, roughly corresponding to a course of statistics/econometrics at the undergraduate level. Basic knowledge of Stata and or R is strongly recommended.
As the course and the learning material will be in English a good knowledge of English is recommended.
If you need to refresh your “R” skills you can to the (R)efresh day which will be held on the 16th of June.

Please note that during the course every participant should have his/her own laptop with R or STATA.

The summer school will be held in a newly refurbished historical building in Via G. Capponi 9 in the historical centre of Florence next to Piazza San Marco and Piazza SS. Annunziata.

Course Fees 17-18-19th June 2015

Early bird reduced fee // before the 15th of February 2015

Students of the University of Florence (including Phd students): 250,00 € VAT Included
Students (including Phd students): 400,00 € VAT Included
3IE and AIV members: 550,00 € VAT included
Other participants: 650,00 € VAT Included

Normal fee // after the 15th of February 2015

All students (including Phd students): 500,00 € VAT Included
3IE and AIV members: 650,00 € VAT included
Other participants: 750,00 € VAT Included

The Fees cover:

Participation to the classes on the 17th-18th-19th June 2015 (morning and afternoon)
-Course material
-Two Coffee breaks for each course day
-Three buffet lunches on the 17th-18th and 19th June 2015
-Networking “Aperitivo” on the 17th June in the evening

(R)efresh day // 16th June 2015

All participants: 50,00 € VAT included*
*the fee includes only the R classes and course material

3IE offers 2 bursaries to attend the summer school. Further information are available here.

To join the summer school and the R)efresh day – Deadline 31st May 2015 –


Prof. Donald B. Rubin Prof. Don Rubin

Donald B. Rubin is John L. Loeb Professor of Statistics, Harvard University, where he has been professor since 1983, and Department Chair for 13 of those years. He has been elected to be a Fellow/Member/Honorary Member of: the Woodrow Wilson Society, John Simon Guggenheim Memorial Foundation, Alexander von Humbolt Foundation, American Statistical Association, Institute of Mathematical Statistics, International Statistical Institute, American Association for the Advancement of Science, American Academy of Arts and Sciences, European Association of Methodology, British Academy, and the U.S. National Academy of Sciences. He has authored/coauthored nearly 400 publications (including ten books), has four joint patents, and has made important contributions to statistical theory and methodology, particularly in causal inference, design and analysis of experiments and sample surveys, treatment of missing data, and Bayesian data analysis. Among his other awards and honors, Professor Rubin has received the Samuel S. Wilks Medal from the American Statistical Association, the Parzen Prize for Statistical Innovation, the Fisher Lectureship, and the George W. Snedecor Award of the Committee of Presidents of Statistical Societies. He was named Statistician of the Year, American Statistical Association, Boston and Chicago Chapters. He has served on the editorial boards of many journals, including: Journal of Educational Statistics, Journal of American Statistical Association, Biometrika, Survey Methodology, and Statistica Sinica. Professor Rubin has been, for many years, one of the most highly cited authors in mathematics in the world (ISI Science Watch), as well as in economics (Highly Cited Economists), with nearly 160,000 citations by autumn 2014, with over 16,000 in 2013 (according to Google Scholar). For decades he has given keynote lectures and short courses in the Americas, Europe, and Asia. He has also received honorary doctorate degrees from Otto Friedrich University, Bamberg, Germany; the University of Ljubljana, Slovenia, and Universidad Santo Tomás, Bogotá, Colombia; as well as honorary professorships from University of Utrecht, The Netherlands; Nanjing University of Science & Technology, Nanjing, China; Xian University of Technology, Xian, China; and Shanghai Finance University, Shanghai, China.

Prof. Fabrizia Mealli Prof. Fabrizia Mealli

Fabrizia Mealli is Professor of Statistics at the Department of Statistics, Computer Science, Applications “G. Parenti”, University of Florence. She is also external Research Associate at the Institute for Social and Economic Research (ISER), University of Essex (UK). She received her PhD in Applied Statistics from the University of Florence in 1994. She held visiting positions at UCLA (Dept. of Economics) in 2000 and at Harvard University (Dept. Of Statistics) in 2001, 2011 and 2015. She has given short courses in Causal Inference and Missing Data in Europe and in the US.
Her research interests cover the following topics: causal inference, program evaluation, estimation techniques, simulation methods, missing data, models for transition data, Bayesian inference.
She has published in statistics, applied statistics, biostatistics, econometrics, economics, and demography journals. She is elected fellow of the American Statistical Association. She is currently Associate editor for the Journal of the Royal Statistical Society – Series A, the Journal of the American Statistical Association – T&M, the Annals of Applied Statistics and Biometrics. Fabrizia Mealli is from 2014 Scientific Coordinator of the Impact Evaluation Unit of ARCO lab.

Organising Committee

Prof. Fabrizia Mealli

Prof. Mario Biggeri

dott. Enrico Testi

dott. Vincenzo Mauro

Need to cancel your subscription?
If you already subscribed and can’t attend the summer school anymore write a request to and
70% of course fee refunded if you send the request before the 15th of February 2015
50% of course fee refunded if you send the request between the 16th of February and the 1st of May 2015
25% of course fee refunded if you send the request after the 1st of May 2015

Please note that refunds can only be made to the original payer and, whilst we attempt to administer all requests as soon as possible, during busy periods of the year, your request may take up tofour weeks to be processed.

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