全球智库信息集成服务系统(G2TT): DP16104 Friday Morning Fever. Evidence from a Randomized Experiment on Sick Leave Monitoring in the Public Sector.

G2TT

来源类型	Discussion paper
规范类型	论文
来源ID	DP16104
	DP16104 Friday Morning Fever. Evidence from a Randomized Experiment on Sick Leave Monitoring in the Public Sector.
	Tito Boeri; Edoardo Di Porto; Paolo Naticchioni; Vincenzo Scrutinio
发表日期	2021-05-04
出版年	2021
语种	英语
摘要	This paper provides the first analysis of a population-wide controlled field experiment for home visits checking on sick leave in the public sector. The experiment was carried out in Italy, a country with large absenteeism in the public sector, and it concerned the universe of public employees. We exploit unique administrative data from the Italian social security administration (INPS) on sick leave and work histories. We find that receiving a home visit reduces the number of days on sick leave in the following 16 months by about 12 % (5.5 days). The effect is stronger for workers who are found irregularly on sick leave (-10.2 days). We interpret our findings as a deterrence effect of home visits: workers being found irregularly on sick leave experience a decline of about 2 % of their wage in the following 12 months. Uncertainty aversion (there is no automatism in these sanctions) can play a role in these results. Our estimates suggest that home visits are cost-effective: every Euro spent for the visits involves up to 10 Euros reductions in sick benefits outlays. We estimate the marginal value of public funds (MVPF) spent on home visits at about 1.13, which is significantly lower than estimates of MVPF of income taxes in the US.
主题	Labour Economics ; Public Economics
关键词	Sick leave Absenteeism Randomized trials
URL	https://cepr.org/publications/dp16104
来源智库	Centre for Economic Policy Research (United Kingdom)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/545081
推荐引用方式 GB/T 7714	Tito Boeri,Edoardo Di Porto,Paolo Naticchioni,et al. DP16104 Friday Morning Fever. Evidence from a Randomized Experiment on Sick Leave Monitoring in the Public Sector.. 2021.