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Nowcasting inflation using high frequency data [PDF]
This paper proposes a methodology to nowcast and forecast inflation using data with sampling frequency higher than monthly. The nowcasting literature has been focused on GDP, typically using monthly indicators in order to produce an accurate estimate for
Modugno, Michele
core
Population and Development Review, EarlyView.Abstract The quantification and analysis of forced displacement, driven by political unrest or natural disasters, has become increasingly central to both humanitarian and demographic research. With displaced populations reaching record numbers, there is an urgent need for accurate and timely data on displacement patterns, particularly disaggregated by ...
Edith Darin +2 more
wiley +1 more source
, 2017 Obgleich es zahlreiche Institutionen gibt, die das deutsche Bruttoinlandsprodukt vorhersagen, mangelt es aktuell an sogenannten "Nowcasting"-Modellen, deren Prognosegüte mit jedem neu verfügbaren, das deutsche Bruttoinlandsprodukt beeinflussenden ...
Doll, Jens +3 more
core +2 more sources
MATEC Web of Conferences, 2018 Rainfall is not only one of the most natural processes on the earth, but also an important factor of flood generation. Precise rainfall nowcasting can give an effective warning before hazards occur. This paper presented an ensemble nowcasting methodology
He Ting, Zhang Chao, Zhang Yi
doaj +1 more source
Scottish Journal of Political Economy, EarlyView.ABSTRACT Forecasting economic activity during institutional collapse requires nowcasts derived exclusively from alternative data sources. Such sources are abundant yet theoretically unanchored and potentially weakly informative. This study examines whether sparse supervised dimension reduction extracts reliable signals in a context rich in data but ...
Mihnea Constantinescu
wiley +1 more source
, 2008 This paper presents the Weather Forecast User-oriented System Including Object Nowcasting (WxFUSION), an integrated weather forecast system for air traffic.
Tafferner, Arnold, Forster, Caroline
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Software and data for EIA Nowcasting project
, 2020 Code and data for the EIA nowcasting project. eiafcst.tgz: Python code and associated data for the DL nowcasting model eiamod.tgz: R code and associated data for the random forest model for approximating missing data.
Robert Link (3824842) +3 more
core +1 more source
Early Warning Systems and Emergency Declarations During Brazil's Largest Dengue Outbreak
Tropical Medicine &International Health, EarlyView.ABSTRACT Objectives Early warning systems (EWSs) are essential for alert, detection, and response to potential public health emergencies. Brazil's 2024 dengue epidemic, the largest ever recorded, offers a critical case for assessing correspondence between timely epidemic risk detection and health governance responsiveness.
Lorena Guadalupe Barberia +10 more
wiley +1 more source
, 2010 Today’s weather information for pilots on thunderstorm conditions on their flight path is insufficient. Weather charts provided by the World Area Forecasting Centres and taken onboard by pilots before take-off are based on forecasts of large scale ...
Guillou, Yann +5 more
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Large Eddy Simulations of the Atmospheric Boundary Layer Over Satellite‐Sensed Sea Ice Maps
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 11, 16 June 2026.Abstract Surface heterogeneity in the marginal ice zone (MIZ) causes multiscale secondary atmospheric circulations that are challenging to model or observe. The absence or inadequate representation of these circulations in ocean‐atmosphere exchange schemes in climate models is partially responsible for the underestimation of Arctic sea ice loss ...
Joseph Fogarty +5 more
wiley +1 more source