长期失业者能否从在线求职中的自动化职业建议中受益？
Do the Long-term Unemployed Benefit from Automated Occupational Advice during Online Job Search?
The Economic Journal · 2025 · [{"name": "Michèle Bélot", "affiliation": ["Cornell University", "University of Edinburgh"]}, {"name": "Philipp Kircher", "affiliation": ["Cornell University", "IAIN Palangka Raya", "UCLouvain", "University of Edinburgh"]}, {"name": "Paul Müller", "affiliation": ["Tinbergen Institute", "Vrije Universiteit Amsterdam"]}]
中文摘要
在一项随机化实地实验中，我们向长期失业求职者提供关于合适职业的建议。这些建议自动生成，整合进在线求职平台，并被纳入实际的搜索查询。该建议对“达到累计收入门槛”和“找到稳定工作”的影响为正、幅度较大，且对失业时间更长者更为明显。接受处理的个体在搜索中纳入了更多职业，并在推荐职业中找到了更多工作。
Abstract
Abstract In a randomised field experiment, we provide suggestions about suitable occupations to long-term unemployed job seekers. The suggestions are automatically generated, integrated in an online job search platform and fed into actual search queries. Effects on ‘reaching a cumulative earnings threshold’ and ‘finding a stable job’ are positive, large and are more pronounced for those who are longer unemployed. Treated individuals include more occupations in their search and find more jobs in recommended occupations.