Machine learning, imputation, dynamic factor models enable German Federal Statistical Office to estimate manufacturing economic indicators within 15–20 days after month-end; supports faster policy, business decisions; project evaluated reliability.

The t +20 Project - Early estimation of economic indicators  -  German Federal Statistical Office
Likely publishing date: 2026-04-08

PublicationThet+20 Project - Early estimation of economic indicators

Thet+20 project implemented by the Federal Statistical Office investigated methods to speed up the provision of economic indicators for the manufacturing sector. Using microdata-based models, including imputation methods and machine learning, and a macrodata-based dynamic factor model, the project’s aim was to produce precise and reliable estimates as early as 15 to 20 days after the end of the preceding month. The analysis shows that these methods enable the early and reliable assessment of economic developments and therefore offer a valuable basis for policy and business decisions.

Authors: Edesa Yadegar, Kerstin Lange, Bogdan Levagin, Bayram Oruc

Article published in "WISTA – Scientific Journal", 3

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Source: https://www.destatis.de/EN/Methods/WISTAScientificJournal/Downloads/t-20-project-estimation-economic-indicators-032025.html
Published: 2026-04-09T07:05:00Z
Topics: economic trends and indicators
Locations: Germany