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Programme

 

Time 

Speaker

 

09:00 – 9:30

Registration and Refreshments

Session 1 (Keynote Talk)

 

09:30 - 10:30

Guido Imbens (Stanford)  
(Title and abstract TBA)

 

10:30 - 10:45

Coffee Break

Session 2 - Machine Learning in OR and CS 

 

 

10:45 - 11:30

Rahul Mazumder (MIT) 
(Title and abstract TBA)

 

11:30 – 12:15

Joris Mooij (UVA) 
(Title and abstract TBA)

 

12:15 – 13:30

Lunch

Session 3 - Machine Learning in Econometrics  
 

13:30 – 14:15

Yinchu Zhu (Oregon),
"An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls"  (joint with Victor Chemozhukov and Kasper Wüthrich)

 

14:15 – 15:00

Xiaoxia Shi (Wisconsin-Madison),
"Inference on Estimators defined by Mathematical Programming"  (Joint with Yu-Wei Hsieh and Matthew Shum)

 

15:00 -15:15

Coffee Break

Session 4 - Machine Learning in Economics 

 

 

15:15 – 16:00

Rachael Meager (LSE),
"
Aggregating Distributional Treatment Effects: A Bayesian Hierarchical Analysis of the Microcredit Literature "

 

16:00 -16:45

Elliott Ash (Warwick),
"What really drives tax policy? The effective tax code"

 

16:45 – 17:30

Closing Drinks

 

From 18:30

Dinner at Euromast from 18:30 (by invitation only)