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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.