Discussion of “Imputation of Counterfactual Outcomes when the Errors are Predictable” by Sílvia Gonçalves and Serena Ng

I argue that the PUP approach proposed by Goncalves and Ng is not only useful for reducing the mean squared error of treatment effect estimators but can also be motivated from an identification perspective when units select into treatment based on past shocks.

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Journal
Journal of Business and Economic Statistics
Published
2024-09-20
DOI
https://doi.org/10.1080/07350015.2024.2362922
Primary Topic
Advanced Statistical Methods and Models
Type
article
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article

Discussion of “Imputation of Counterfactual Outcomes when the Errors are Predictable” by Sílvia Gonçalves and Serena Ng

Kaspar Wüthrich
Journal of Business and Economic Statistics
Advanced Statistical Methods and Models
article

Discussion of “Imputation of Counterfactual Outcomes when the Errors are Predictable” by Sílvia Gonçalves and Serena Ng

Kaspar Wüthrich
article en

Abstract

I argue that the PUP approach proposed by Goncalves and Ng is not only useful for reducing the mean squared error of treatment effect estimators but can also be motivated from an identification perspective when units select into treatment based on past shocks.

Journal of Business and Economic StatisticsVol. 42(4)
University of California San Diego (US)
Openalex Percentile: Top 83%
Advanced Statistical Methods and Models
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Discussion of “Imputation of Counterfactual Outcomes when the Errors are Predictable” by Sílvia Gonçalves and Serena Ng — Kaspar Wüthrich · Journal of Business and Economic Statistics (2024) | TGRS Research Map | TGRS