NeuralTFR neural network produces lower point-forecast errors than BayesTFR on 2009-2023 data and projects broader exposure to low and very low fertility globally by 2040.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Establishes nonparametric identification of conditional quantile coefficients in a triangular system with endogeneity and additive measurement error, then proposes a consistent two-step sieve ML estimator using generated control variables and copula weights.
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Anticipating Continued Global Fertility Decline via Neural Forecasting
NeuralTFR neural network produces lower point-forecast errors than BayesTFR on 2009-2023 data and projects broader exposure to low and very low fertility globally by 2040.
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Endogenous Quantile Regression with Measurement Error in Dependent Variable
Establishes nonparametric identification of conditional quantile coefficients in a triangular system with endogeneity and additive measurement error, then proposes a consistent two-step sieve ML estimator using generated control variables and copula weights.