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Table 8 Explaining the probability of positive payoffs: a logit model

From: Which patients do I treat? An experimental study with economists and physicians

Variables Coefficient Std. err. Variable Coefficient Std. err.
Constant -0.790 0.543 OPMA 0.024 0.652
treatment_1 -2.557*** 0.313 OPMA .NMA 0.457 0.643
treatment_3 -1.376*** 0.306 NMA 1.149** 0.554
treatment_4 -1.078*** 0.295 NMA.RA 1.748*** 0.556
treatment_5 -1.326*** 0.297 RA 2.252*** 0.708
treatment_6 -0.776*** 0.302    
treatment_7 -1.002*** 0.290 Minimum need -0.007*** 0.001
treatment_8 -1.377*** 0.289 OPMA .minimum need 0.001 0.001
treatment_9 0.039 0.315 NMA .minimum need -0.002*** 0.001
treatment_10 -0.920*** 0.299 RA .minimum need 0.000 0.001
Economic framing -0.349 0.273 Productivity 1.314*** 0.117
1 allocator only 0.398 0.380 OPMA.Productivity 0.282 0.193
Endowment 1.568*** 0.312 NMA .productivity 0.422*** 0.166
    RA .productivity 0.043 0.224
Number of observations: 3,948 Number of groups: 58  
Pseudo R2: 0.26 Rho: 0.188*** 0.042
  1. UA: utilitarian allocator, OPMA: own payoff-maximizing allocator, NMA: number maximizing allocator, RA: Rawlsian allocator
  2. ***, (**), [*] significant at the 99% (95%) [90%] confidence level, resp.