20.500.12556/RUL-172671 Real-time economic indicators in NSIs Timely and accurate economic data are vital, especially in times of great turbulence. Quantitative monthly output indicators often lag around one to two months, hindering effective decision-making. Consequently, research into (near) real-time estimation has surged, particularly within central banks and institutes. Recent crises have challenged traditional nowcasting approaches, proven inadequate for the current turbulent economic landscape. To assess the current state of real-time estimation, we conducted an international survey of National Statistical Institutes (NSIs) and undertook in-depth interviews with the Bank of Slovenia and the Institute of Macroeconomic Analysis and Development, both actively engaged in nowcasting and forecasting. Follow-up interviews were also held with some NSIs. Our findings revealed limited engagement with real-time estimation among NSIs, primarily due to staff shortages, despite top management support. Three key best practices emerged for accelerating indicator releases: streamlining data collection, producing granular real-time indicators shedding light on different aspects of the economy and implementing advanced modelling techniques. These practices offer a pathway for NSIs to generate more agile and impactful economic data in periods of increased turbulence and uncertainty. statistics economic statistics models nowcasting economic statistics modelling timeliness statistika ekonomska statistika indikatorji modeli true false true Angleški jezik Slovenski jezik Članek v reviji 2025-09-10 13:59:32 2025-09-10 14:02:05 2025-10-18 04:01:44 0000-00-00 00:00:00 2025 0 0 Str. 294-304 iss. 2 Vol. 41 Jun. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 311 1874-7655 10.1177/18747655251341466 236857859 lotric-dolinar-et-al-2025-real-time-economic-indicators-in-nsis.pdf lotric-dolinar-et-al-2025-real-time-economic-indicators-in-nsis.pdf 1 05E56AF3FF09EFE96EE6C5FAE1E31D8F b529dbc07d5e16a18a0a3c6b9352efaebcfb1c98a0c8a08d81343bcc763ae98c a6f36e65-8e3d-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=216666 https://journals.sagepub.com/home/SJI 0 ac499cff-8e3d-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=216667 Ekonomska fakulteta 0 0 0