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20172026
most citedImproving Inference from Simple Instruments through Compliance Estimation

12 citations · 46 across the 19 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

hep-th2021

From Quantum Codes to Gravity: A Journey of Gravitizing Quantum Mechanics

ChunJun Cao

In this note, I review a recent approach to quantum gravity that "gravitizes" quantum mechanics by emerging geometry and gravity from complex quantum states. Drawing further insigh…

cs.CY2021

On the Fairness of Machine-Assisted Human Decisions

Talia Gillis, Bryce McLaughlin, Jann Spiess

When machine-learning algorithms are used in high-stakes decisions, we want to ensure that their deployment leads to fair and equitable outcomes. This concern has motivated a fast-…

econ.GN2021

Unpacking the Black Box: Regulating Algorithmic Decisions

Laura Blattner, Scott Nelson, Jann Spiess

What should regulators of complex algorithms regulate? We propose a model of oversight over 'black-box' algorithms used in high-stakes applications such as lending, medical testing…

econ.EM2021★ 12 cited

Improving Inference from Simple Instruments through Compliance Estimation

Stephen Coussens, Jann Spiess

Instrumental variables (IV) regression is widely used to estimate causal treatment effects in settings where receipt of treatment is not fully random, but there exists an instrumen…

econ.EM2021★ 8 cited

Revisiting Event Study Designs: Robust and Efficient Estimation

Kirill Borusyak, Xavier Jaravel, Jann Spiess

We develop a framework for difference-in-differences designs with staggered treatment adoption and heterogeneous causal effects. We show that conventional regression-based estimato…

econ.EM2021

Finding Subgroups with Significant Treatment Effects

Jann Spiess, Vasilis Syrgkanis, Victor Yaneng Wang

Researchers often run resource-intensive randomized controlled trials (RCTs) to estimate the causal effects of interventions on outcomes of interest. Yet these outcomes are often n…

econ.EM2021★ 2 cited

A Design-Based Perspective on Synthetic Control Methods

Lea Bottmer, Guido Imbens, Jann Spiess +1

Since their introduction in Abadie and Gardeazabal (2003), Synthetic Control (SC) methods have quickly become one of the leading methods for estimating causal effects in observatio…