Literature DB >> 12683958

Take some days off, why don't you? Endogenous sick leave and pay.

John Douglas Skåtun1.   

Abstract

This is a model of endogenous sick leave in the presence of endemic infectious diseases. The prevalence rate elasticity with respect to sick leave is unity, when workers are paid their marginal product, and firms profit maximise. Full information contracts yield a compensating higher wage to the sick than to the healthy workers. Sick leave pay is greater than the healthy working wage. The contracted sick leave period falls with: the external disease transmission, the productivity of the ill, the discomfort when ill on sick leave and reductions in the work discomfort of the ill. Full insurance breaks down under asymmetric information, where implicit contract firms may offer more sick leave than profit maximising firms with the same payment schedule.

Entities:  

Mesh:

Year:  2003        PMID: 12683958     DOI: 10.1016/S0167-6296(02)00102-9

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  4 in total

1.  Paid sick leave and nonfatal occupational injuries.

Authors:  Abay Asfaw; Regina Pana-Cryan; Roger Rosa
Journal:  Am J Public Health       Date:  2012-06-21       Impact factor: 9.308

2.  Refusal to Take Sick Leave after Being Diagnosed with a Communicable Disease as an Estimate of the Phenomenon of Presenteeism in Poland.

Authors:  Marcin Mikos; Grzegorz Juszczyk; Aleksandra Czerw; Łukasz Strzępek; Tomasz Banaś; Elżbieta Cipora; Andrzej Deptała; Anna Badowska-Kozakiewicz
Journal:  Med Princ Pract       Date:  2019-09-03       Impact factor: 1.927

3.  Merging economics and epidemiology to improve the prediction and management of infectious disease.

Authors:  Charles Perrings; Carlos Castillo-Chavez; Gerardo Chowell; Peter Daszak; Eli P Fenichel; David Finnoff; Richard D Horan; A Marm Kilpatrick; Ann P Kinzig; Nicolai V Kuminoff; Simon Levin; Benjamin Morin; Katherine F Smith; Michael Springborn
Journal:  Ecohealth       Date:  2014-09-19       Impact factor: 3.184

4.  Analysis of COVID-19 Cases' Spatial Dependence in US Counties Reveals Health Inequalities.

Authors:  T Saffary; Oyelola A Adegboye; E Gayawan; F Elfaki; Md Abdul Kuddus; R Saffary
Journal:  Front Public Health       Date:  2020-11-12
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.