Observational and counterfactual distributions are linked by identical support and invariant features, enabling a flow-matching estimator with semiparametric efficiency correction to generate debiased counterfactuals from observations.
Econometrica , volume =
2 Pith papers cite this work. Polarity classification is still indexing.
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A Bayesian state-space model with GB2 distribution applied to grouped Japanese income data finds that demographic shifts affect inequality heterogeneously across the distribution and contribute substantially to its evolution.
citing papers explorer
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Debiased Counterfactual Generation via Flow Matching from Observations
Observational and counterfactual distributions are linked by identical support and invariant features, enabling a flow-matching estimator with semiparametric efficiency correction to generate debiased counterfactuals from observations.
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Demographic Transition and the Dynamics of Income Distribution in Japan: A Bayesian State-Space Approach
A Bayesian state-space model with GB2 distribution applied to grouped Japanese income data finds that demographic shifts affect inequality heterogeneously across the distribution and contribute substantially to its evolution.