Develops TWSF estimator for causal forecasting in panel data by combining synthetic controls with time-series models under low-rank latent factor assumptions, providing finite-sample bounds and asymptotic normality.
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A bilevel optimization framework smooths isotonic regression outputs into continuous piece-wise linear monotonic functions to recover marginal properties in both convex and non-convex cases.
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Causal Forecasting in Panel Data: A Two-Way Synthetic Forecasting Approach
Develops TWSF estimator for causal forecasting in panel data by combining synthetic controls with time-series models under low-rank latent factor assumptions, providing finite-sample bounds and asymptotic normality.
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Piece-wise linear isotonic regression
A bilevel optimization framework smooths isotonic regression outputs into continuous piece-wise linear monotonic functions to recover marginal properties in both convex and non-convex cases.