REVIEW 3 cited by
Identification of Average Treatment Effects in Nonparametric Panel Models
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Identification of Average Treatment Effects in Nonparametric Panel Models
read the original abstract
This paper studies identification of average treatment effects in a panel data setting. It introduces a novel nonparametric factor model and proves identification of average treatment effects. The identification proof is based on the introduction of a consistent estimator. Underlying the proof is a result that there is a consistent estimator for the expected outcome in the absence of the treatment for each unit and time period; this result can be applied more broadly, for example in problems of decompositions of group-level differences in outcomes, such as the much-studied gender wage gap.
Forward citations
Cited by 3 Pith papers
-
Panel Quantile Regression with Common Shocks
Standard FEQR estimator is asymptotically normal under (log N)^2/T to 0 with common shocks present, and a simple covariance estimator is consistent regardless of the shock structure.
-
Panel Quantile Regression with Common Shocks
Panel quantile regression with fixed effects is asymptotically normal under common shocks when (log N)^2/T -> 0, with a robust covariance estimator valid with or without shocks.
-
Semiparametric inference on identification sets in choice modeling
New inference theory for the identified interval of counterfactual choice probabilities when the mixing distribution is unrestricted: LP duality, von Mises expansions, and an EM-based membership certificate.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.