Labour Market Observatory, Veneto Lavoro - Nadalin

Labour Market Observatory, Veneto Lavoro - Nadalin

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  Leveraging administrative datato monitor the local labour market: The Veneto experience. Trento | 6 giugno 2025 Francesca Nadalin Osservatorio regionale mercato del lavoro - Veneto Lavoro
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  2 The Observatory onregional labour market of Veneto Lavoro  Estabished within Veneto Lavoro by Regional Law No 3 of 13 March 2009 (art. 12),  Mission  to provide constant and updated knowledge on the structure and the dynamics of the regional labour market. Veneto Lavoro - technical in-house agency of the Veneto Region; - Responsible for the coordination of the Regional PES Network and the implementation of the ALMPs.
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  3 ANALYSIS OF THEREGIONAL LM STRUCTURE AND DYNAMICS VENETO LABOUR INFORMATION SYSTEM - SILV INSITUTIONAL MONITORING  Employment & unemployment dynamics / transitions  Labour demand  ALMPs and PES services IN-DEPTH ANALYSIS  Emerging phenomena or transformation processes of the regional labour market PROJECTS & COLLABORATIONS Networking activities
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  4 Veneto Labour InformationSystem (Sistema informativo lavoro veneto - SILV) Administrative data  information generated and recorded when people interact with public services  Employment events  contract activations, terminations/conclusions, modifications + data on employees, companies and type of contracts (source: Comunicazioni Obblicatorie – CO);  Administrative unemployment (source: Dichiarazioni di Immediata Disponibilità – DID);  Data on Labour Market Policy measures and services provided by the regional PES.  Geographical limitation  Lack of information on self-employment  Estimation of workers’ stock  SILV does not record individuals who have never changed their employment status since 2008.
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  5 Veneto Labour InformationSystem – STRENGHTS and ADVANTAGES 1) Real-time updating of information To capture and early detect signals of change or potential crisis (nowcasting). Veneto. Dependent employment positions in the industrial sector. Monthly changes, January 2019 – April 2025 Early signals of crisis of the automotive sector and other sectors of the “made in Italy” production
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  6 Veneto Labour InformationSystem – STRENGHTS and ADVANTAGES 2) Quality and soundness of data The availability of a consolidated historical dataset makes the SILV an essential resource for tracking individual employment histories and “trajectories”  longitudinal analysis aimed at detecting labour market transitions – the movements of individuals between employment, unemployment and economic inactivity – with a high level of detail and accuracy. An example: longitudinal analysis on unemployed people registered with PES…
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  7 Veneto Labour InformationSystem – STRENGHTS and ADVANTAGES Classification of different target groups  to tailor services and measures to users’ needs. - People who are truly available to work - People who are in need for an intensive support - People who “don’t want to be disturbed” - Etc. 24.839 (20%) transitioned out of unemployment (closed DID) 29.254 (24%) unemployed (active DID), with working experiences 26.727 (22%) unemployed (active DID), without working experiences Broad Employment Transition Rate: 67% 12.564 (10%) unemployed (active DID), with working experiences 15.226 (12%) unemployed (active DID), without working experiences 123.930 (100%) DID (declaration of unemployment) issued in 2021 20.671 (17%) without PoS 6.365 (5%) with PoS,unavailable 16.084 (13%) only PoS 80.820 (65%) with PoS and ALMP measures “served” users 103.269 (83%) with Pact of Service 43.120 (35%) non “served” users 14.607 (12%) with internship 21.525 (17%) withjob application &ALMP 44.688 (36%) withjobapplication, withoutALMP 21.236 (17%) transitioned out of unemployment (closed DID) 12.129 (10%) unemployed (active DID), with working experiences 9.755 (8%) unemployed (active DID), without working experiences Broad Employment Transition Rate: 77% 2.939 (2%) transitioned out of unemployment (closed DID) 8.216 (7%) unemployed (active DID), with working experiences 3.452 (3%) unemployed (active DID), without working experiences 5.002 (4%) transitioned out of unemployment (closed DID) 20.883 (17%) withoutprevious workexperience (first‐time job seekers) 15.026 (12%) teachers 12.384 (10%) seasonalworkers 28.977 (23%) end of contract 19.119(15%) laid-off 7.508 (6%) resigned 10.266 (8%) terminated >3 months 103.057 (83%) with previous work experience directtransitiontounemployment(terminated<3months) 8.474 (7%) unemployed (active DID), with working experiences 8.049 (6%) unemployed (active DID), without working experiences 16.898 (14%) transitioned out of unemployment (closed DID) Broad Employment Transition Rate: 76% Broad Employment Transition Rate: 63% Broad Employment Transition Rate: 66% 6.150 (5%) first‐ time job seekers 6.753 (5%) laid-off 4.794 (4%) end of contract 3.580 (3%) domestic workers 2.389 (2%) laid-off; 2.011 (2%); end of contract 1.394 (1%) domestic workers; 1.112 (1%) first‐time job seekers 9.777 (8%) domesticworkers
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  8 ANALYTICAL APPROACH TOLABOUR MARKET MISMATCH  A multi-faceted phenomenon  integrated analytical approach that takes into account its different dimensions (different data sources and research tools) → Monitoring of the regional labour demand with SILV data → Demographic changes and their impact on the regional labour force → In-depth studies on specific sectors experiencing labour shortages, (e.g. logistics, tourism, etc.) → Analysis on workers recruitment pools, to identify the trajectories of workers mobility (e.g. seasonal workers in touristic areas) → Qualitative investigations
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  Veneto Lavoro Osservatorio regionalemercato del lavoro Via Ca' Marcello, 67/b 30172 Mestre-Venezia (VE) www.venetolavoro.it www.venetolavoro.it/area-osservatorio-e-ricerca www.cliclavoroveneto.it [email protected]