Chicago Causal Inference Student Conference

 

The Chicago Causal Inference Student Conference

Thursday, March 21 to Friday, March 22, 2024
Location: Saieh Hall for Economics | 5757 S University Ave, Chicago IL 60637
Organizers: Magne Mogstad and Alexander Torgovitsky

The Chicago Causal Inference Student Conference, sponsored by the Griffin Applied Economics Incubator at the University of Chicago, gathers a selected group of graduate students working at the intersection of empirical microeconomics and applied econometrics.

We are pleased to announce the list of selected participants and their papers for the 2024 Chicago Causal Inference Student Conference:

If you have any questions, please email chicagocausalinference@gmail.com.

Chicago Causal Inference Student Conference Photos

Chicago Causal Inference Student Conference 2024

Day 1: March 21, 2024

9:30 – 10:20 a.m.
Opening Reception
10:20 a.m. – 12:00 p.m.
Session #1: Information Provision Experiments

Dylan Balla-Elliott (University of Chicago) – Identifying Causal Effects in Information Provision Experiments

Grady Killeen (University of California Berkeley) – Are Estimates of the Value of a Statistical Life Unbiased? Experimental and Observational Estimates in a Low-Income Setting

12:00 – 1:00 p.m.
1:00 – 1:30 p.m.
Lunch
Keynote Speech by Evan Rose
1:30 – 3:10 p.m.
Session #2: Household Location

Benjamin Goldman (Harvard University) – Who Marries Whom? The Role of Segregation by Race and Class

Daniel Agness (University of California Berkeley) – Housing and Human Capital: Condominiums in Ethiopia

3:10 – 3:40 p.m.
Break
3:40 – 5:20 p.m.
Session #3: Urban Policies

Anna Ziff (Duke University) – Beyond the Local Impacts of Place-Based Policies: Spillovers through Latent Housing Markets

Alison Lodermeier (Brown University) – Racial Discrimination in Eviction Filing

Day 2: March 22, 2024

8:30 – 9:00 a.m.
Breakfast

9:00 – 10:40 a.m.
Session #4: Partial Identification

Atom Vayalinkal (University of Toronto) – Sharp Identification Regions in General Selection Models with (Un)ordered Treatments and Discrete Instruments

Samuel Higbee (University of Chicago) – Policy Learning with New Treatments

10:40 – 11:10 a.m.
Break

11:10  a.m. – 12:50 p.m.
Session #5: School Choice

Viola Corradini (Massachusetts Institute of Technology) – Information and Access in School Choice Systems: Evidence from New York City

Evan Munro (Stanford University) – Causal Inference under Interference through Designed Markets 

12:50 – 2:00 p.m.
Lunch and Award Ceremony