FBK-IRVAPP ADVANCED SCHOOL 2024 Advanced Methods for Impact Evaluation (Venice)
Istituto Veneto di Scienze, Lettere ed Arti, Venezia
The school is designed to be particularly beneficial to graduate students and researchers with intermediate proficiency in applied policy evaluation and quantitative micro-econometrics. It will run over 3 days, from January 22 to January 24, 2024, covering longitudinal data methods for the estimation of policy effects. Different solutions to the identification problem will be considered in theoretical and training sessions (e.g. Difference-in-differences and Synthetic Control methods). Discussion sessions with instructors will be organized, with the possibility for students to present their research in poster sessions. Finally, the winning paper of the 2nd edition of the Best Paper in Public Policy Evaluation will be presented.
The training sessions will illustrate the implementation in Stata of a selection of approaches related to Difference-in-Differences and Synthetic Control; a temporary Stata license will be released on demand. It is recommended that you bring your own laptop to follow the training sessions.
Instructors
Erich Battistin, FBK-IRVAPP and University of Maryland
Enrico Rettore, FBK-IRVAPP and University of Padua
Dates and Venue
January 22-24, 2024
Istituto Veneto di Scienze, Lettere ed Arti, Campo S. Stefano, 2945 S.Marco, 2946, 30124 Venice, Italy
Registration
Candidates can enrol online, and will be asked to complete a short application form.
Online application and payment are due by January 9, 2024. It is advisable that conditional to the offer of a place, payment is made at the earliest to secure your place on the program. Enrolment will be secured only after receipt of the payment notification.
Payment details will be provided in the notification of acceptance, conditional to the offer of place.
Targeted audience
This is an advanced/graduate course on quantitative empirical methods for policy evaluation. As such, knowledge of methods for the evaluation of treatment effects and quantitative micro-econometrics equivalent to Ph.D. or Doctorate level coursework is required.
Programme (may be subject to changes):
| Day 1 | Day 2 | Day 3 | |
| 9:00-10:30 | Theoretical session | Theoretical session | Theoretical session |
| 10:30-11:00 | Coffee Break | Coffee Break | Coffee Break |
| 11:00-12:30 | Poster Session | Training Session | Training Session |
| 12:30-14:00 | Lunch | Lunch | Lunch |
| 14:00-15:30 | Theoretical session | Office Hours | Presentation Best Paper |
| 15:30-16:00 | Coffee Break | Coffee Break | Coffee Break |
| 16:00-17:30 | Training Session | Poster Session | Training Session |
Introduction to Causal Panel Data Models
- Static versus Dynamic Treatment Effects
- Examples of Data Structures and Research Designs to Retrieve Counterfactuals
- How Difference-in Differences Works, and Why it Works
Staggered (and More General) Designs
- Empirical Specifications for Event Study Equations (Two Way Fixed Effects)
- Making Staggered Designs Make Sense
- Causal Interpretation of Event Study Coefficients
- Parallel Trends vs No Anticipation
- Beyond Staggered Designs
Back to the Future
- Causal Inference Without Covariates (a taxonomy of possible approaches)
- Semiparametric Inference by Conditioning on Covariates
Synthetic Controls Methods & Extensions
- Matching on Lagged Outcomes
- Estimation and Inference
- Uniqueness Of the Solutions
- Extension to Multiple Treated Units
- Synthetic Difference in Differences
The training sessions will illustrate the implementation in Stata of a selection of approaches related to Difference-in-Differences and Synthetic Control.
Poster and Office hours sessions:
Interaction between instructors and participants (and among participants) is encouraged throughout the school. Participants can register for the poster sessions and office hours at registration (on a first-in first-served basis). In the poster sessions, participants have about 15 minutes to present their research or research idea highlighting methodological issues. Instructors will be available to listen to and discuss what is presented. In office hours, participants can discuss one-to-one with the instructors.
Tuition Fees:
The registration fee includes workshop materials, as well as coffee and lunch breaks; it does not include dinners, accommodation, transport or any other services. We are not in a position to offer any scholarship.
- Students (including Ph.D. students): EUR 500
- Others: EUR 800
All bank charges are for the registrant’s account.
Cancellation Policy:
Cancellation of registration requests must be notified to [email protected]. Refund of the registration fee will be as follows:
- Cancellation requests received by December 31, 2023: full refund.
- Cancellation requests received from January 1, 2024, and no-shows: no refund.
Instructors
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IRVAPPErich Battistin is Professor of Economics at the University of Maryland, Senior Research Associate at IRVAPP and Research Fellow at the Institute for the Study of Labour (IZA). He previously worked at the University of Padua, and at the Institute for Fiscal Studies and the Centre for the Evaluation of Development Policies in London. His research interests cover a variety of fields of applied economics, ranging from applied work in labour economics to more methodological aspects in programme evaluation. On these topics he published in various journals, including the American Economic Review, the Journal of Political Economy and the Journal of Econometrics. He was the principal investigator of projects funded by the Economic and Social Research Council, the Italian Ministry of Education, Universities and Research and the Italian Ministry of Welfare and participated as co-investigator in several other projects funded by international organisations in Europe and in the United States. He is also consultant with the World Bank for the implementation of agriculture development programmes in Nigeria.
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IRVAPPEnrico Rettore is Professor of Econometrics at the Department of Economics and Management of the University of Padova. Previously, he has been Professor of Econometrics at the Department of Sociology and Social Research of the University of Trento. He received a Ph.D. in Statistics from the University of Padova. His research interests focus on programme evaluation within the broader field of drawing inferences from non-randomly selected samples. On these topics he has published in various journals, including the Review of Economics and Statistics, the American Economic Review, the Journal of Econometrics and The Journal of the Royal Statistical Society (A). He has been the project leader of research projects supported by the Italian Ministry of University and Research, the Italian Ministry of Economy and Public Finance, the Italian Ministry of Welfare and the European Commission. More details and list of publications in the CV.
Registration
Registration to this event is mandatory.
Registration closed on 09/01/2024.
Online application and payment are due by January 9, 2024. It is advisable that conditional to the offer of a place, payment is made at the earliest to secure your place on the program. Enrolment will be secured only after receipt of the payment notification.
Payment details will be provided in the notification of acceptance, conditional to the offer of place.