Generalized additive models for mixed-data regression using informal data

Nathaniel Kang

doi:10.1016/j.asoc.2025.114082

Generalized additive models for mixed-data regression using informal data

2025-10-20

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DOI：10.1016/j.asoc.2025.114082

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• Understanding MIDAS is a useful approach for nowcasting mixed-frequency data. • Addressing nonlinearity issue in conventional MIDAS regression. • Integrating generalized additive model (GAM) with conventional MIDAS. • Enhancing nowcasting performance by utilizing the unstructured data.

Generalized additive models for mixed-data regression using informal data

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