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A Mixed Frequency BVAR for the Euro Area Labour Market

Bibliographic Data

ID21512904
AuthorsAgostino Consolo (0000-0001-7177-0377, European Central Bank Frankfurt Germany), Claudia Foroni (European Central Bank Frankfurt Germany), Catalina Martínez Hernández (0000-0002-9695-8605, European Central Bank Frankfurt Germany, corresponding author)
Year2023
Volume85
Issue5
Pages1048-1082
Publication date2023-10-01
Open AccessYes
TypeARTICLE
VenueOxford Bulletin of Economics and Statistics (JOURNAL)
Journal identifiersISSN: 0305-9049 • E-ISSN: 1468-0084
PublisherWiley (PUBLISHER • GB)
DOI10.1111/obes.12555
OpenAlexW3205518911
LanguageEN
References cited44

We introduce a Bayesian mixed frequency VAR model for the aggregate euro area labour market that features a structural identification via sign restrictions. The purpose of this paper is twofold: we aim at (i) providing reliable and timely forecasts of key labour market variables and (ii) enhancing the economic interpretation of the main movements in the labour market. We find satisfactory results in terms of nowcasting and forecasting, especially for employment growth. Furthermore, we look into the shocks that drove the labour market and macroeconomic dynamics from 2002 to 2022, with an insight also on the COVID‐19 recession. While demand shocks were the main drivers during the Global Financial Crisis, technology and wage bargaining factors, reflecting the degree of lockdown‐related restrictions and job retention schemes, have been important drivers of key labour market variables during the pandemic

Bayesian probability · Bayesian vector autoregression · Econometrics · Economics · Labour economics · Macroeconomics · Nowcasting · Recession · Underemployment · Unemployment · Wage · Economic Policies and Impacts · Italy: Economic History and Contemporary Issues · Monetary Policy and Economic Impact

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