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20162023
most citedSharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing

34 citations · 41 across the 7 of their papers we have counts for

collaborators

7 papers

stat.AP2023

Diagnosing the role of observable distribution shift in scientific replications

Ying Jin, Kevin Guo, Dominik Rothenhäusler

Many researchers have identified distribution shift as a likely contributor to the reproducibility crisis in behavioral and biomedical sciences. The idea is that if treatment effec…

stat.ME2022

On the statistical role of inexact matching in observational studies

Kevin Guo, Dominik Rothenhäusler

In observational causal inference, exact covariate matching plays two statistical roles: (i) it effectively controls for bias due to measured confounding; (ii) it justifies assumpt…

stat.ME2021

Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding

Jacob Dorn, Kevin Guo, Nathan Kallus

We consider the problem of constructing bounds on the average treatment effect (ATE) when unmeasured confounders exist but have bounded influence. Specifically, we assume that omit…

math.ST2021★ 34 cited

Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing

Jacob Dorn, Kevin Guo

Inverse propensity weighting (IPW) is a popular method for estimating treatment effects from observational data. However, its correctness relies on the untestable (and frequently i…

math.ST2020★ 7 cited

The Generalized Oaxaca-Blinder Estimator

Kevin Guo, Guillaume Basse

After performing a randomized experiment, researchers often use ordinary-least squares (OLS) regression to adjust for baseline covariates when estimating the average treatment effe…

q-fin.GN2016

Understanding the Tracking Errors of Commodity Leveraged ETFs

Kevin Guo, Tim Leung

Commodity exchange-traded funds (ETFs) are a significant part of the rapidly growing ETF market. They have become popular in recent years as they provide investors access to a grea…

q-fin.TR2016

Understanding the Non-Convergence of Agricultural Futures via Stochastic Storage Costs and Timing Options

Kevin Guo, Tim Leung

This paper studies the market phenomenon of non-convergence between futures and spot prices in the grains market. We postulate that the positive basis observed at maturity stems fr…