Activity: Events › Workshop
Job adverts include detailed descriptions of skills, knowledge and behaviours relevant to carry out occupational and professional roles in firms. In addition, they (occasionally) show earnings information, provide firm characteristics and contextualise to local labour markets. Such data, validly extracted from job adverts, are an invaluable resource to inform education and labour market policy about crucial aspects of matching job seekers and vacancies and, together with further data sources, likely returns from skills investment and potential skills shortages affecting different sectors or localities in the economy. With improving information technologies, online job search engines grew since the 1980s. Since then they created huge amounts of data, which can be used to provide systematic descriptions of job skills at a granular level and to understand changes affecting occupational roles. However, the use of such sources for research in economics, business and education only emerged recently with better availability of off-the-shelves packages for text analytics allowing individual researchers to navigate the complexities of unstructured “big” data and to derive high-quality structured information from millions of vacancies. And finally, the analytical work for descriptions and econometric modelling offers new opportunities and challenges as with many “Big Data” applications. Our workshop aims at interested researchers working with such data, with a focus on the analysis of knowledge, skills and behaviours relevant to jobs.