The OeNB Weekly GDP Indicator — Austria's Real-Time Economic Tracker Built During COVID-19
Austria
Austria's central bank built a weekly, real-time GDP tracker using payment-card and cash-to-noncash spending data. It captured a ~26% activity …
Spain · Madrid · See the Spain profile · See the Madrid profile
Evidence: Observational / pre–post Top 6% 87/100 · Ask Evidence Copilot about this practice
Banco de España's Spain-STING model nowcasts quarterly Spanish GDP growth in real time from early indicators; a 2024 respecification (contemporaneous links, time-varying volatility, revised indicators) produced a documented accuracy gain in the volatile post-pandemic period.
ES30Banco de España has operated the Spain-STING (Short-Term Indicator of Growth) nowcasting tool since the model family was introduced by economists Máximo Camacho and Gabriel Pérez-Quirós. It estimates a common latent factor from indicators available before official GDP data are released, giving policymakers a real-time read on the Spanish economy weeks ahead of Eurostat's confirmed figures.
The 2024 work aimed to fix a known weakness: the model's accuracy had degraded during the high-volatility pandemic period, so the authors sought to respecify it while preserving its established pre-pandemic performance.
In Occasional Paper 24/06 (published 4 March 2024, later in Revista Economía v.48), Banco de España economists Ana Gómez Loscos, Miguel Ángel González-Simón and Matías Pacce respecified the model with three changes: contemporaneous rather than purely leading indicator relationships, a stochastic (time-varying) process for the common component's volatility, and a revised, post-pandemic-relevant set of input indicators.
The paper reports a notable improvement in nowcasting performance during the high-volatility post-pandemic period while preserving the model's pre-pandemic accuracy, though it states this as a qualitative finding rather than a specific quantified error-reduction figure. The model sits within a wider, independently benchmarked family — Eurostat's 2025 statistical working paper on real-time GDP nowcasting for the euro area evaluates comparable tools across six member states including Spain, and sister models (Euro-STING, Ñ-STING) share the same architecture.
Spain-STING's forecasts and methodology are published routinely by the central bank rather than held as an internal black box, though it remains a statistical/dynamic-factor approach rather than a modern machine-learning system. Banco de España's own paper is candid that accuracy degraded during the pandemic before the 2024 fix, underscoring that even long-standing operational tools require periodic respecification.
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Austria
Austria's central bank built a weekly, real-time GDP tracker using payment-card and cash-to-noncash spending data. It captured a ~26% activity …
Sweden
In an April 2025 Staff Memo, Riksbank economists found random-forest and neural-network models measurably outperformed Sweden's traditional time-series forecasts for …
Switzerland
SNB researchers tested eight machine-learning methods against 1,100+ time series to nowcast Swiss GDP. For the post-2008 period, every ML …
Netherlands
DNB's DFROG nowcasting model has tracked Dutch GDP growth in real time since 2024, publishing monthly estimates; a decade-long evaluation …
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