In the article we describe an enhancement to the Demand for Labour (DL) survey conducted by Statistics Poland, which involves the inclusion of skills obtained from online job advertisements. The main goal is to provide estimates of the demand for skills (competences), which is missing in the DL survey. To achieve this, we apply a data integration approach combining traditional calibration with the LASSO-assisted approach to correct representation error in the online data. Faced with the lack of access to unit-level data from the DL survey, we use estimated population totals and propose a~bootstrap approach that accounts for the uncertainty of totals reported by Statistics Poland. We show that the calibration estimator assisted with LASSO outperforms traditional calibration in terms of standard errors and reduces representation bias in skills observed in online job ads. Our empirical results show that online data significantly overestimate interpersonal, managerial and self-organization skills while underestimating technical and physical skills. This is mainly due to the under-representation of occupations categorised as Craft and Related Trades Workers and Plant and Machine Operators and Assemblers.
Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs
UNESCO(联合国教科文组织);Oxford Internet Institute(牛津互联网研究院);Burning Glass Institute(Burning Glass研究所);University of Oxford(牛津大学);Humboldt Institute for Internet and Society(洪堡互联网与社会研究所);Bruegel(布鲁盖尔研究所);DWG Berlin(柏林DWG)
In the Shadow of Smith`s Invisible Hand: Risks to Economic Stability and Social Wellbeing in the Age of Intelligence
Brain and Mind Centre, University of Sydney, Camperdown, Australia(悉尼大学脑与心灵中心);Mental Wealth Initiative, University of Sydney, Camperdown, Australia(悉尼大学心理财富倡议);Computer Simulation & Advanced Research Technologies (CSART), Sydney, Australia(悉尼计算机模拟与先进研究技术);Santa Fe Institute, Santa Fe, New Mexico, USA(圣菲研究所);School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, Australia(西澳大学计算机、数据与数学科学学院);Baker Institute for Public Policy, Rice University, Houston, Texas, USA(赖斯大学贝克公共政策研究所);Meadows Mental Health Policy Institute, Dallas, Texas, USA(达拉斯心理健康政策研究所);University of Technology Sydney, Broadway, Sydney, Australia(悉尼技术大学);Visiting Professor in Practice, London School of Economics Grantham Institute, London, UK(伦敦经济学院格兰塔姆研究所访问教授);Swiss Tropical and Public Health Institute & University of Basel, Switzerland(瑞士热带与公共卫生研究所及巴塞尔大学);Business School, University of Sydney, Sydney, Australia(悉尼大学商学院)
Pay and Beyond: The Evolving Rewards for AI Skills
Oxford Internet Institute, University of Oxford(牛津大学牛津互联网研究所);Burning Glass Institute(燃烧玻璃研究所);Institute for New Economic Thinking, Oxford Martin School(牛津马丁学院新经济思想研究所);Bruegel(布鲁盖尔研究所)