I contribute to previous research on the efficient integration of forecasters' narratives into business cycle forecasts. Using a Bidirectional Encoder Representations from Transformers (BERT) model, I quantify 19,300 paragraphs from German business cycle reports (1998-2021) and classify the...

I contribute to previous research on the efficient integration of forecasters' narratives into business cycle forecasts. Using a Bidirectional Encoder Representations from Transformers (BERT) model, I quantify 19,300 paragraphs from German business cycle reports (1998-2021) and classify the...

The energy use in buildings is highly influenced by outdoor temperature changes. In the contest of nowadays climate change, its impact on the energy sector is important and needs to be assessed. This study investigates how the heat consumption (HC) of the existing regional building stock,...

Este documento se centra en la predicción a corto y medio plazo del consumo privado. La selección de indicadores mensuales en tiempo real se realiza sobre la base de las variables habituales (indicadores cualitativos versus cuantitativos) y de otras menos habituales. Entre las variables de...

In this study we introduce a new monthly indicator for private consumption in Germany based on search query time series provided by Google Trends. The indicator is based on unobserved factors extracted from a set of consumption-related search categories of the Google Trends application Insights...

Рассматривается решение проблемы краткосрочного прогнозирования потребления электроэнергии в торговых центрах Голландии и Бельгии. Предлагается методика...