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Nonparametric Estimation and Testing of Heterogeneous Nonlinear Temperature-Yield Relationships | Synapse
March 3, 2026
Open Access
Nonparametric Estimation and Testing of Heterogeneous Nonlinear Temperature-Yield Relationships
CC
Chaoyi Chen
Hungarian National Bank
YS
Yiguo Sun
JZ
Jianhan Zhang
Key Points
Nonlinear relationships indicate that yield may vary widely with temperature changes, affecting agricultural outputs.
Analysis shows how temperature impacts yield, with findings being critical for planning agricultural strategies.
Methodological testing focuses on nonparametric estimation of heterogeneous responses to temperature across different conditions.
Understanding these relationships can enable better decision-making in crop management and climate adaptation.
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Chen et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75bf1c6e9836116a24336
https://doi.org/https://doi.org/10.2139/ssrn.6081609