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Absenteeism Predictors: Least Squares, Rank Regression, and Model Selection Results

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Author Info
Mohammed Chaudhury
Ignace Ng
Abstract

This paper examines the determinants of absenteeism using ordinary least squares rank-based regressions and a model selection procedure. The results show that personal attributes are the most important determinants of long-term absences. For total working days lost, the penalty factors are the most significant predictors. The results also show that absenteeism tends to be lower among firms with more part-time workers. Unionization, on the other hand, increases the total days lost due to absenteeism.

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File URL: http://links.jstor.org/sici?sici=0008-4085%28199208%2925%3A3%3C615%3AAPLSRR%3E2.0.CO%3B2-F
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Publisher Info
Article provided by Canadian Economics Association in its journal Canadian Journal of Economics.

Volume (Year): 25 (1992)
Issue (Month): 3 (August)
Pages: 615-35
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Handle: RePEc:cje:issued:v:25:y:1992:i:3:p:615-35

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  1. repec:ese:iserwp: is not listed on IDEAS
  2. Sarah Brown & Robert McNabb & Karl Taylor, 2006. "Firm Performance, Worker Commitment and Loyalty," Working Papers 2006005, The University of Sheffield, Department of Economics, revised Apr 2006. [Downloadable!]
  3. Andrén, Daniela, 2004. "Why Are The Sickness Absences So Long In Sweden," Working Papers in Economics 137, Göteborg University, Department of Economics. [Downloadable!]
  4. Solveig Osborg Ose & Jan Morten Dyrstad, 2001. "Non-linear Unemployment Effects in Sickness Absence: Discipline or Composition Effects?," Working Paper Series 2502, Department of Economics, Norwegian University of Science and Technology. [Downloadable!]
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