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Table 2 Results from the multiple regression models for the probability of nursing and midwifery personnel to receive non-pecuniary benefits, six countries

From: Access to non-pecuniary benefits: does gender matter? Evidence from six low- and middle-income countries

  (1) (2) (3) (4) (5) (6) (7) (8)
Covariate Meals Housing Transport Paid vacation Health insurance In-service training At least one benefit Three or more benefits
Worker's sex: -0.125 0.18 0.557** -0.056 0.648*** -0.534*** 0.325 0.089
Woman (ref = man) [0.341] [0.285] [0.241] [0.227] [0.222] [0.204] [0.258] [0.230]
Worker's years of experience at facility -0.015 0 0.001 -0.014 0.018* 0.006 0.025* 0.002
  [0.016] [0.013] [0.012] [0.012] [0.011] [0.010] [0.015] [0.011]
Facility location: -0.419 0.221 0.069 -0.545*** 0.354*** 0.115 0.535*** -0.176
Rural (ref = urban) [0.256] [0.155] [0.139] [0.105] [0.089] [0.081] [0.118] [0.110]
Facility type: 0.878*** 0.34 0.456** -0.201 0.409** -0.821*** 0.112 0.078
Hospital (ref = other) [0.300] [0.252] [0.215] [0.196] [0.195] [0.177] [0.219] [0.198]
Facility management: Private (ref = public) -0.174 0.58 -0.082 -0.834*** -0.075 -0.976*** -0.940*** -0.455
  [0.451] [0.424] [0.294] [0.277] [0.293] [0.243] [0.253] [0.313]
Interaction sex*experience: -0.007 0.001 -0.008 0.02 -0.016 0.001 -0.026 0.006
Woman*Years [0.019] [0.016] [0.014] [0.013] [0.012] [0.011] [0.016] [0.013]
Interaction sex*facility type: 0.112 -0.211 -0.600** -0.012 -0.396* 0.633*** 0.056 -0.222
Woman*Hospital [0.372] [0.306] [0.258] [0.238] [0.228] [0.213] [0.275] [0.241]
Interaction sex*facility management: 1.768*** 0.116 1.213*** 1.403*** -1.017*** 0.507* -0.058 1.052***
Woman*Private [0.469] [0.453] [0.335] [0.302] [0.310] [0.270] [0.272] [0.338]
  1. *P < 0.1 **P < 0.05 ***P < 0.01 ref = reference category
  2. Note: Additional variables for workers' country of residence and occupational earnings were included in the model, with generally highly statistically significant differences observed (results not presented, due in part to differences in currency scales across countries).