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Reintroducing the New York Fed Staff Nowcast

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Abstract

“Nowcasts” of GDP growth are designed to track the economy in real time by incorporating information from an array of indicators as they are released. In April 2016, the New York Fed’s Research Group launched the New York Fed Staff Nowcast, a dynamic factor model that generated estimates of current quarter GDP growth at a weekly frequency. The onset of the COVID-19 pandemic sparked widespread economic disruptions—and unprecedented fluctuations in the economic data that flow into the Staff Nowcast. This posed significant challenges to the model, leading to the suspension of publication in September 2021. Taking advantage of recent developments in time-series econometrics, we have since developed a more robust version of the Staff Nowcast model, one that better handles data volatility. In this post, we discuss the model’s new features, present estimates of current quarter GDP growth, and evaluate how the Staff Nowcast would have performed during the pandemic period. Today’s post marks the resumption of regular New York Fed Staff Nowcast releases, to be published each Friday.

Suggested Citation

  • Katie Baker & Martín Almuzara & Hannah O’Keeffe & Argia M. Sbordone, 2023. "Reintroducing the New York Fed Staff Nowcast," Liberty Street Economics 20230908, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednls:96733
    Note: As of September 8, 2023, the New York Fed Staff Nowcast resumed using an updated model.
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    File URL: https://libertystreeteconomics.newyorkfed.org/2023/09/reintroducing-the-new-york-fed-staff-nowcast/
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    Cited by:

    1. Fabrizio Iacone & Luca Rossini & Andrea Viselli, 2024. "Comparing predictive ability in presence of instability over a very short time," Papers 2405.11954, arXiv.org.

    More about this item

    Keywords

    forecasting; nowcasting; macroeconomics; GDP (gross domestic product); pandemic; growth;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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