Documents Blasco, Sylvie 3 results

"In this paper we investigate how active labor market policy programs affect firms' hiring strategies and, eventually, firms' performance. We focus on counseling and monitoring which may reduce search costs for employers, but which may also have ambiguous effect on the employer–employee matching quality and thus on firms' performance. Using a large scale experiment which was conducted in Denmark in 2005–2006 and induced a greater provision of activation, we find that small firms hiring in the districts where the social experiment was conducted changed their hiring practices in favor of unemployed workers and experienced greater turnover than other firms. Treated firms also experienced no change or a marginal reduction in value added and total factor productivity during the first years after the experiment. These results are consistent with the idea that monitoring creates compulsion effects which counteract the possible improvement in the matching process expected from job search assistance."

"While job search theory predicts that active labour market policies (ALMPs) can affect post-unemployment outcomes, empirical evaluations investigating transition rates have mostly focused on the impact of ALMPs on exit rates from the current unemployment spell. We use a social experiment, which was conducted in Denmark in 2005-6, to investigate the effects of a dramatic intensification of ALMPs on reemployment stability. We investigate the nature of this impact. We estimate a duration model with lagged duration dependence to separately identify "indirect" (via shorter unemployment duration) and "direct" (through a more efficient matching process) effects of ALMPs on subsequent employment duration. We find that overall intensive activation significantly reduces unemployment recurrence for men, but not for women. When we control for dynamic selection into employment and lagged duration dependence, the positive impact of the treatment becomes smaller but remains significant. 80% of the global impact of intensification acts through the direct channel for men."

"Automation may destroy jobs and change the labour demand structure, thereby potentially impacting workers' health and well-being. Using French individual survey data, we estimate the effects of working in automatable jobs on mental health. Implementing propensity score matching to solve the issue of endogenous exposure to automation risk, we find that workers whose job is at risk of automation in the future are about 4 pp more likely to suffer at present from severe mental disorders. Fear of job loss within the year and fear of qualification or occupational changes seem relevant channels to explain our findings."