title: Who gets fired, who gets re-hired: the role of workers' contract, age, health, work ability, performance, work satisfaction and employee investments.
abstract: OBJECTIVE
  Many workers have been dismissed in the past few years, either becoming unemployed or finding re-employment. The current study examined whether dismissal and its follow-up for the employee (re-employment versus unemployment) could be predicted from workers' employment contract and age, and their health status, work ability, work performance, work satisfaction and employee investments at baseline.
  
  
  METHODS
  Our sample comprised a selection of participants from the Netherlands Working Conditions Survey 2010 who participated in a follow-up questionnaire in 2012 (N = 2,644). We used logistic regression analyses to test our hypotheses.
  
  
  RESULTS
  Temporary employment, low health status, low work ability, poor work performance, low work satisfaction and no employee investments in terms of training predicted future dismissal. Furthermore, older workers and workers reporting decreased work performance due to impaired health at baseline had a lower chance of re-employment after being dismissed. Interestingly, after taking into account all predictors, former temporary workers without permanent employment prospects had much better chances of re-employment after their dismissal than former permanent workers.
  
  
  CONCLUSIONS
  Temporary, less healthy, low work ability, poor performing, dissatisfied and "under-invested" workers are at risk for dismissal, whereas older and less healthy workers are (also) at risk for long-term unemployment after being dismissed.
authors.affiliation: Department of Work and Organizational Psychology, Behavioural Science Institute, Radboud University Nijmegen, P.O. Box 9104, 6500 HE, Nijmegen, The Netherlands, a.wagenaar@psych.ru.nl.
authors.forename: Alfred F
authors.initials: AF
authors.lastname: Wagenaar
authors.forename: Michiel A J
authors.initials: MA
authors.lastname: Kompier
authors.forename: Irene L D
authors.initials: IL
authors.lastname: Houtman
authors.forename: Seth N J
authors.initials: SN
authors.lastname: van den Bossche
authors.forename: Toon W
authors.initials: TW
authors.lastname: Taris
mesh_terms: D000293:Adolescent; D000328:Adult; D032982:Contracts; D004651:Employment / Q000706:statistics & numerical data*; D005260:Female; D006304:Health Status; D006801:Humans; D007588:Job Satisfaction; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009426:Netherlands; D010560:Personnel Selection / Q000706:statistics & numerical data*; D012307:Risk Factors; D011795:Surveys and Questionnaires; D014478:Unemployment / Q000706:statistics & numerical data; D014937:Work; D000066477:Work Performance / Q000706:statistics & numerical data*; D055815:Young Adult