Bryan S. Graham

Third Annual Berkeley-Stanford Econometrics Jamboree

On Friday November 8th, 2019 the Berkeley econometrics group, in partnership with the Statistics Department, will host the third annual “Berkeley-Stanford Econometrics Jamboree”. The event will consist of a morning session of student presentations (9AM to 11:30AM) and an afternoon session of faculty presentations (2PM to 6PM). Both sessions will take place in the legendary Neyman room (1011 Evans Hall).

Attendence is open to anyone from the Berkeley and Stanford data science communities (broadly and inclusively defined) and there is no need to register. The event is intentionally informal. Please feel free to share these event details with others who may be interested.

A conference program can be found below. Please contact Bryan Graham with any corrections or possible scheduling conflicts. We’ve got a great group of speakers scheduled.

For our attendees coming from Stanford, Evans Hall is very close to the North Gate of our campus. The nearest BART stop is Downtown Berkeley. The nearest public parking facility is the Lower Hearst / North Gate parking garage at the intersection of Scenic & Hearst (enter from Scenic to access hourly parking spaces).

If you have any logistical questions please write Fengshi Niu.

Jamboree Schedule

Bryan Graham
Fengshi Niu

Friday, November 8th, 2019 1011 Evans Hall (Jerzy Neyman Room)

Morning Session: 9AM to 11:30AM (Student Presentations)

Time Speaker Title
    Session 1:
9:00 to 9:20AM Evan Rose (Berkeley, Economics) Who gets a second chance? Effectiveness and equity in supervision of criminal offenders
9:20 to 9:40AM Eli Ben-Michael (Berkeley, Statistics) Synthetic control and weighted event study models with staggered adoption
9:40 to 10:00AM Chelsea Zhang (Berkeley, Statistics) Active matrix factorization for surveys
10:00AM to 10:30AM   Break
    Session 2:
10:30AM to 10:50AM Lydia Liu (Berkeley, Computer Science) Competing bandits in matching markets
10:50 to 11:10AM Michael Pollman (Stanford, Economics) Causal inference for spatial treatments
11:10 to 11:30AM Fengshu Niu (Berkeley, Economics Kernel density estimation for undirected dyadic data
11:30AM   Break for lunch (on your own)

Afternoon Session: 2PM to 6PM (Faculty Presentations)

Time Speaker Title
    Session 1:
2:00 to 2:45 PM Bin Yu (Berkeley, Statistics) Three principles of data science: predictability, computability, and stability
2:45 to 3:30 PM Guillaume Basse (Stanford, Statistics) Minimax crossover designs for estimating learning and instantaneous effects
3:30 to 3:45 PM   Break
    Session 2:
3:45 to 4:30 PM Konrad Menzel (New York University, Economics) Bootstrap with cluster-dependence in two or more dimensions
4:30 to 5:15 PM Lihua Lei (Stanford, Statistics) Doubly robust two-way fixed effects regression for panel data
5:15 to 6:00 PM Will Fithian (Berkeley, Statistics) Statistical methods for replicability assessment
6:00 PM   Adjorn