Lessons from Nowcasting GDP across the World
Danilo Cascaldi-Garcia,
Matteo Luciani and
Michele Modugno
No 1385, International Finance Discussion Papers from Board of Governors of the Federal Reserve System (U.S.)
Abstract:
In economics, we need to forecast the present because reliable and comprehensive measures of the state of the economy are released with a substantial delay and considerable measurement error. Nowcasting exploits timely data to obtain early estimates of the state of the economy and updates these estimates continuously as new macroeconomic data are released. In this chapter, we describe how the framework used to nowcast GDP has evolved and is applied worldwide.
Keywords: Dynamic factor models; Forecasting; Nowcasting (search for similar items in EconPapers)
JEL-codes: C33 C53 E37 (search for similar items in EconPapers)
Date: 2023-12-18
New Economics Papers: this item is included in nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.federalreserve.gov/econres/ifdp/files/ifdp1385.pdf (application/pdf)
Related works:
Chapter: Lessons from nowcasting GDP across the world (2024) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:fip:fedgif:1385
DOI: 10.17016/IFDP.2023.1385
Access Statistics for this paper
More papers in International Finance Discussion Papers from Board of Governors of the Federal Reserve System (U.S.) Contact information at EDIRC.
Bibliographic data for series maintained by Ryan Wolfslayer ; Keisha Fournillier ().