activity
20182026
most citedRevisiting Event Study Designs: Robust and Efficient Estimation

8 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

econ.EM2026

Robust Signal Maximization in Spillover Experiments

Kirill Borusyak, Peter Hull, Evan Munro

We study the optimal design and analysis of experiments for estimating spillover effects. Assuming a known (e.g., linear) exposure mapping, we characterize the treatment-assignment…

econ.EM2025

Nonparametric Identification of Demand without Exogenous Product Characteristics

Kirill Borusyak, Jiafeng Chen, Peter Hull +1

We study identification of differentiated product demand from market-level data when product characteristics can be endogenous. Past work suggests nonparametric identification may…

econ.EM2025

Estimating Demand with Recentered Instruments

Kirill Borusyak, Mauricio Caceres Bravo, Peter Hull

We develop a new approach to estimating flexible demand models with exogenous supply-side shocks. Our approach avoids conventional assumptions of exogenous product characteristics,…

econ.EM2024★ 2 cited

Regression discontinuity aggregation, with an application to the union effects on inequality

Kirill Borusyak, Matan Kolerman-Shemer

We extend the regression discontinuity (RD) design to settings where each unit's treatment status is an average or aggregate across multiple discontinuity events. Such situations a…

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.EM2018

Quasi-Experimental Shift-Share Research Designs

Kirill Borusyak, Peter Hull, Xavier Jaravel

Many studies use shift-share (or ``Bartik'') instruments, which average a set of shocks with exposure share weights. We provide a new econometric framework for shift-share instrume…