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Counterfactual Imputation: Comments on “Imputation of Counterfactual Outcomes when the Errors are Predictable” by Silvia Gonçalves and Serena Ng

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  • Marcelo C. Medeiros

Abstract

The measurement of treatment (intervention) effects on a single (or just a few) treated unit(s) based on counterfactuals constructed from artificial controls has become a popular practice in applied statistics and economics since the proposal of the synthetic control method. However, most of the literature has ignored the time-series properties of the data. The work of Gonçalves and Ng fills this gap by proposing a simple correction for existing estimators to take into account serial and cross-correlation in the data. This note provides some thoughts on Gonçalves and Ng’s method.

Suggested Citation

  • Marcelo C. Medeiros, 2024. "Counterfactual Imputation: Comments on “Imputation of Counterfactual Outcomes when the Errors are Predictable” by Silvia Gonçalves and Serena Ng," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(4), pages 1128-1132, October.
    • Handle: RePEc:taf:jnlbes:v:42:y:2024:i:4:p:1128-1132
    DOI: 10.1080/07350015.2024.2368805
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