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

Research output: Contribution to journalComment/debatepeer-review

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.

Original languageEnglish (US)
Pages (from-to)1128-1132
Number of pages5
JournalJournal of Business and Economic Statistics
Volume42
Issue number4
DOIs
StatePublished - 2024

Keywords

  • Autocorrelation
  • Counterfactual imputation
  • Factor models
  • Synthetic controls
  • Time series

ASJC Scopus subject areas

  • Statistics and Probability
  • Social Sciences (miscellaneous)
  • Economics and Econometrics
  • Statistics, Probability and Uncertainty

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