---
title: Bells and Whistles of Nowcasting Models: Which Matter and When?
url: https://www.ml-quant.com/papers/repec/fip-fedgfe-103878/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-10-23
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:fip:fedgfe:103878
source_url: https://econpapers.repec.org/RePEc:fip:fedgfe:103878
featured: 2026-10-23
citations: unknown
topic: Econometrics & Forecasting
---


# Bells and Whistles of Nowcasting Models: Which Matter and When?

Testing eight model features on US GDP forecasts, the study finds dynamic heterogeneity consistently improves point, density, and tail forecasts while other features help selectively.

- Source: https://econpapers.repec.org/RePEc:fip:fedgfe:103878
- Identifier: RePEc:fip:fedgfe:103878
- Released: 2026-10-12
- First featured: Quant Letter No. 136 (2026-10-23): https://www.ml-quant.com/issues/2026-10-23/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting
- Authors: Freddy García-Albán, Manuel González-Astudillo

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