REAL-TIME LABOUR MARKET INFORMATION: SKILLS REQUIREMENTS ANALYSIS
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1 REAL-TIME LABOUR MARKET INFORMATION: SKILLS REQUIREMENTS ANALYSIS Thessaloniki, 30/11/2015
2 Overview of the results Overall in 4 months of scraping ac4vity from 15 websites in 5 different countries approximately 4 million vacancies have been retrieved A@er deduplica4on and quality checks we were le@ with almost 3 millions vacancies ready for being analysed. They represent more than 200 occupa4ons out of the 436 listed in ISCO 4 digit 2
3 Overview of the results Large heterogeneity across countries in the use of the web as a channel for pos4ng vacancies. Web vacancies are pervasively in the UK, less so in Italy. Despite the similar popula4on size the first 4 websites in the UK contained 15 4mes more adver4sement than the first 3 Italian websites. 3
4 Distribution across countries 70% 60% 60% 50% 40% 30% 31% 20% 10% 0% 4% 3% 2% United Kingdom Germany Italy Ireland Czech Republic 4
5 Relevance of web vacancies Share % Ac*ve Pop United Kingdom 60% 5% Germany 31% 2% Italy 4% 0% Ireland 3% 3% Czech Republic 2% 1% 5
6 Web vs Eurostat Web II Quarter2015 Ra*o United Kingdom Germany Italy Ireland Czech Republic
7 Large variability across industries Germany: Construc4on and Transport and storage Ireland: Administra4ve and support service ac4vi4es and ICT Czech Republic: Manufactoring and Accommoda4on and food service ac4vi4es UK Administra4ve and support service ac4vi4es and ICT Italy: manufactoring and Administra4ve and support service ac4vi4es 7
8 Industries Adm. support service Prof. sci.tech. services Finance and insurance ICT Accommoda1on and food Transport and storage Wholesale and retail trade Construc1on Manufacturing Germany Ireland Czech R. UK Italy 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 8
9 Large variability across occupations UK and Ireland: Professionals, Managers and Technical and Associate professionals Germany: and related trade workers, elementary occupa4ons and Technical and Associate professionals Italy: Professionals, Technical and Associated Professionals, clerical support workers Czech Republic: and related trade workers, Service and sales workers, Technical and Associate professionals 9
10 Occupations Germany Italy Ireland Czech Republic United Kingdom Techn. and ass. prof. Skilled agr. and fishery Service and sales workers Professionals Plant and machine op. Managers Elementary occupa1ons CraZ related trades workers Clerical support workers 0% 5% 10% 15% 20% 25% 30% 35% 40% 10
11 Occupations Managers: mainly UK and Ireland Technical and associate professionals: mainly Ireland and Italy Professionals: mainly UK and Ireland and related trades: Czech republic and Germany Elementary occupa4ons: Czech republic and Germany 11
12 Occupations Techn. and ass. prof. Skilled agr. and fishery Service and sales workers Professionals Plant and machine op. Managers Elementary occupa1ons CraZ related trades workers Clerical support workers 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% United Kingdom Czech Republic Ireland Italy Germany 12
13 Skills High Skills Medium Skills Low Skills 80% 70% 60% 50% 40% 30% 20% 10% 0% Italy UK Germany Ireland Czech Republic 13
14 UK 14
15 Czech Republic 15
16 Italy 16
17 Germany 17
18 Ireland 18
19 Detailed occupations: adding weight to the classification The detail of the occupa4on structure (4 digit) allows to inves4gate the frequency of vacancies for specific occupa4ons We can iden4fy the most relevant occupa4on within ISCO groups and compare them across countries Or we can iden4fy the the most relevant occupa4on within NACE sector and compare them across countries 19
20 Professional, scientific and technical activities Italy Germany Business services agents not elsewhere classified 5% Manufacturing managers 4% Mechanical engineers 6% Office supervisors 7% Industrial and produc1on engineers 6% Technical and medical sales professionals (excluding ICT) 8% Adver1sing and marke1ng professionals 7% Chemical and physical science technicians 9% Draughtspersons 14% Adver1sing and marke1ng professionals 16% 0% 2% 4% 6% 8% 10% 12% 14% 16% 0% 2% 4% 6% 8% 10% 12% 14% 16% 18% 20
21 Turning to skills The richness of the dataset allows to obtain both generic and occupa4on specific skills Several skills are not classified in Esco, therefore an internal/endogenous dic4onary can be built Some are borderline as skills (car ownership, experience) 21
22 Receptionist Isco
23 Welders and Flame Cutters isco
24 Shop Sale Assistant Isco
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