Imperfect Monitoring of Job Search: Structural Estimation and Policy Design

• 成果类型: Article
• 署名作者: Cockx, Bart; Dejemeppe, Muriel; Launov, Andrey; Van der Linden, Bruno
• 署名单位: Ghent University; Universite Catholique Louvain; University of Kent; Universite Catholique Louvain; Fonds de la Recherche Scientifique - FNRS
• 刊物名称: JOURNAL OF LABOR ECONOMICS
• ISSN/ISSBN: 0734-306X
• DOI: 10.1086/693868
• 发表日期: 2018
• 页码: 75-120
• 关键词: square diagnostic-tests; unemployment-insurance; econometric-models; social experiment; hazard function; work; SANCTIONS; PROGRAMS; requirements; TRANSITION

摘要

We build and estimate a nonstationary structural job search model that incorporates the main stylized features of a typical job search monitoring scheme in unemployment insurance (UI) and acknowledges that search effort and requirements are measured imperfectly. On the basis of Belgian data, monitoring is found to affect search behavior only weakly because assessments were scheduled late and infrequently, the monitoring technology was not sufficiently precise, and lenient Belgian UI results in caseloads that are less responsive to incentives than elsewhere. Simulations show how changing the aforementioned design features can enhance effectiveness and that precise monitoring is key in this.