Nowcasting employment in the euro area
Marta Banbura,
Irina Belousova,
Katalin Bodnár and
Mate Toth
No 2815, Working Paper Series from European Central Bank
Abstract:
Euro area labour market variables are published with a considerable lag, longer than in the case of real GDP. We develop a suite of models to provide a more timely estimate (nowcast) of euro area quarterly employment growth based on a broad range of monthly indicators. The suite includes a batch of different dynamic factor model and bridge equation specifications. We evaluate it in real time over 2013-2022 and find that (i) monthly indicators provide useful information for a timely assessment of employment developments with unemployment rates and sentiment indicators containing most of the relevant information, (ii) the performance of small-scale models is comparable to those based on a larger information set, (iii) the suite performs favourably compared to the Eurosystem/ECB staff macroeconomic projections,(iv) forecasting performance deteriorates temporarily at the initial stage of the COVID-19 pandemic period, but the models outperform the benchmarks again thereafter. JEL Classification: C53, E24, E32, E37
Keywords: forecasting; mixed frequency; real-time data (search for similar items in EconPapers)
Date: 2023-05
New Economics Papers: this item is included in nep-eec
Note: 810771
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.ecb.europa.eu//pub/pdf/scpwps/ecb.wp2815~1c1e2649d3.en.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ecb:ecbwps:20232815
Access Statistics for this paper
More papers in Working Paper Series from European Central Bank 60640 Frankfurt am Main, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Official Publications ().