Monday, August 22
Speaker: Guido Imbens (Stanford Graduate School of Business)

Tuesday, August 23
Session organised by ECB : Central Bank Digital Currencies – Rationales, Design, Implications
Chair: Beatrice Weder Di Mauro (Graduate Institute of International and Development Studies, Geneva)
Speakers: Fabio Panetta (ECB), Tara Rice (BIS) and Dirk Niepelt (University of Bern).

The proliferation of e-commerce has led to a decline in the use of cash as means of payment. At the same time, technological innovation enables the creation of new forms of digital money. While this development promises increased efficiency and convenience, it also gives rise to concerns about monetary sovereignty, privacy, and the role of public money as anchor for the monetary system. Against this background, central banks around the world are considering the case for central bank digital currency (CBDC). This session, which will discuss the rationales, design and implications of CBDC, is organised by the European Central Bank (ECB).

Wednesday, August 24
Aspirations, Role Models and Poverty Traps
Chair: Ingvild Almås
Speakers: Debraj Ray (NYU) and Sonya Krutikova (IFS)

Thursday, August 25
Using Machine Learning for Causal Inference in Economics
Speaker: Victor Chernozhukov (MIT)


Friday, August 26

The EEA will be dedicating all workshop held between 9:00 - 13:00 to candidates on the 2022/2023 job market.  Full information on the programme will follow.


Synergies Between Pure Theory and Econometrics
Panelists: Isaiah Andrews (Harvard University), Aureo De Paula (UCL) Federico Echenique (Caltech) and Mira Frick (Yale)  
The goal of this panel is to show how advances or questions in pure economic theory lead to new tools / advances in econometrics and vice versa. This panel is primarily targeted towards recent PhD's and more junior participants is meant to be a motivational / inspirational session for early career researchers.

Sargan Lectures 
Econometric Duration and Event History Analysis
Speaker: Jaap H. Abbring (Tilburg University)
These lectures will review developments over the past two decades in the econometric analysis of durations and more general event histories, with a focus on current issues. They will cover the main classes of models that distinguish causal effects between events (state dependence) and the sorting effects of unobserved heterogeneity, provide a unified perspective on their identification, and discuss some of the computational and statistical challenges that arise, with empirical examples from labor economics, insurance economics, marketing, and/or other fields. Special topics may include the analysis of dynamic treatments and treatment effects and structural analysis using optimal stopping models and games.