• Media type: E-Book; Report
  • Title: Nowcasting employment in the euro area
  • Contributor: Bańbura, Marta [Author]; Belousova, Irina [Author]; Bodnár, Katalin [Author]; Tóth, Máté Barnabás [Author]
  • Published: Frankfurt a. M.: European Central Bank (ECB), 2023
  • Language: English
  • DOI: https://doi.org/10.2866/634513
  • Keywords: E32 ; E37 ; Forecasting ; Real-Time Data ; Mixed Frequency ; C53 ; E24
  • Origination:
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  • Description: 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.
  • Access State: Open Access