The school is designed to be particularly beneficial to graduate students and researchers with a high level of proficiency in applied policy evaluation and quantitative micro-econometrics. It will run over three consecutive days, from May 22 to May 24 2019, covering methods for the estimation of policy effects with endogenous participation. Different solutions to the identification problem will be considered, resulting in three thematic one-day sessions.
Machine learning and policy evaluation (Maximilian Kasy)
This part will provide an introduction to some exciting new areas at the intersection of machine learning and policy evaluation. More specifically, it will cover the following topics:
1. Taxation, insurance, and machine learning.
(a) Review of optimal tax theory and sufficient statistics
(b) An introduction to Gaussian Processes for machine learning.
(c) Combining the two.
2. Experimental design and machine learning for policy choice.
(a) Optimal experimental design for estimating treatment effects.
(b) An introduction to bandit problems.
(c) Adaptive experimental design for policy choice
Discontinuities (Enrico Rettore)
This part will address identification of policy effects when the probability of participation changes discontinuously or has kinks along observable dimensions. Starting with the basic methodology and implementation, the module will discuss extensions ranging from multiple cut-offs to extrapolation and external validity, and randomization-inference methods.
Instrumental Variables (Erich Battistin)
This part will present solutions when (quasi-)experimental sources of exogenous variability for treatment participation become available. Identification of “local average” and “marginal” treatment effects will be discussed, offering a broad overview of ex-ante and ex-post evaluation methods when effects are heterogeneous across the statistical units.
This is an advanced/graduate course on quantitative empirical methods for policy evaluation. As such, knowledge of methods for treatment effects and quantitative micro-econometrics equivalent to Ph.D. or Doctorate level coursework is a prerequisite.
The course is limited to 30 participants, to ensure learning effectiveness. Candidates can enroll through the following link, and will be asked to complete a short application form.
Online application and payment are due by April 30, 2019. It is advisable that, conditional to the offer of place, payment is made at the earliest to secure your place on the program. Enrollment will be secured only after receipt of the payment notification.
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 the position to offer any scholarship.
Students: EUR 500
HE delegates and Government: EUR 800
Others: EUR 1200
All bank charges are for the registrant’s account.
Certificate of attendance
Palazzo Loredan, San Marco, 2945 30124 Venezia
Venice , Italy