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Big brothering the economy: nowcasting and forecasting with port satellite images

  • Alessandro Spelta*
  • , Paolo Pagnottoni
  • , Nicolo' Pecora
  • *Autore corrispondente per questo lavoro
  • University of Pavia
  • University of Insubria

Risultato della ricerca: Contributo in rivistaArticolopeer review

Abstract

The interplay between maritime commerce and macroeconomic aggregates such as gross domestic product (GDP) and international trade statistics is key for the understanding of global economic dynamics. In this paper, we construct a new indicator, the Port Saturation Index, based on near-to-real-time port satellite images, which are processed with deep learning techniques to extract relevant information on the size of ongoing maritime commerce. We investigate the efficacy of the index with an empirical application to nowcast economic aggregates and forecast expansions and contractions of European GDP, import, and export. Results show that the index is able to closely track real economic activity, particularly GDP, when the figure is still far from its official release, yielding a novel tool for policy makers to support decision-making.
Lingua originaleInglese
pagine (da-a)463-496
Numero di pagine34
RivistaJournal of the Royal Statistical Society. Series A: Statistics in Society
Numero di pubblicazione189(1)
DOI
Stato di pubblicazionePubblicato - 2025

All Science Journal Classification (ASJC) codes

  • Statistica e Probabilità
  • Scienze Sociali (varie)
  • Economia ed Econometria
  • Statistica, Probabilità e Incertezza

Keywords

  • Dynamic factor models
  • Nowcasting
  • Port containers
  • Satellite images

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