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Table 6 Impact of Fatigue on Employment and Earnings

From: The economic impact of chronic fatigue syndrome in Georgia: direct and indirect costs

All effects estimated relative to not-fatigued (NF) population, (Standard Errors in Parentheses)
  Employment: Adjusted odds ratio (OR) of working in the prior 4 weeks relative to NF sample
  Model with reported education Model with imputed education
Incremental Expenditures attributed to CFS 0.15*** (0.10) 0.12*** (0.08)
Incremental Expenditures Attributed to ISF 0.14*** (0.08) 0.14*** (0.08)
  Earnings over the past 4 weeks ($), adjusted impact measured relative to NF sample
  Linear OLS GLM gamma for (y+1) TPM
  Model with reported education Model with imputed education Model with reported education Model with imputed education Model with reported education Model with imputed education
Incremental Expenditures attributed to CFS -878.24** (337.60) -1079.47*** (347.64) -503.11 (392.52) -658.30** (298.83) -266.30 (261.26) -394.96 (255.41)
Incremental Expenditures Attributed to ISF -408.37* (284.75) -405.39 (283.90) -1019.04 (654.78) -1029.23 (665.62) -22.37 (235.84) -25.94 (235.60)
AIC 8397.40 8398.11 17.32 17.31 538.28 538.28
BIC 8451.49 8452.20 -1509.96 -1511.78 -1399.67 -1399.46
  1. * p < 0.1, ** p < 0.05, ***p < 0.01.
  2. Full model results for logistic regression on employment and GLM on earnings in Additional file 2, Table S3.