Skip to main content

Table 3 Marginal effects for interacted variables

From: Examining projection bias in experimental auctions: the role of hunger and immediate gratification

 

(1)

(2)

 

Marginal effect

Std. error

Marginal effect

Std. error

Future

AfterLunch = 1

−0.655a

0.105

−0.667a

0.108

AfterLunch = 0

−0.387a

0.079

−0.377a

0.086

AfterLunch

Future = 1, FuturePay = 1

0.093

0.102

0.081

0.101

Future = 1, FuturePay = 0

−0.609a

0.109

−0.646a

0.110

Future = 0, FuturePay = 0

−0.341a

0.077

−0.356a

0.083

FuturePay

AfterLunch = 1

0.592a

0.120

0.628a

0.122

AfterLunch = 0

−0.110

0.090

−0.099

0.087

LastMeal

Future = 1,FuturePay = 1

−0.026

0.023

−0.02

0.018

Future = 1,FuturePay = 0

−0.031a

0.009

−0.031a

0.007

Future = 0,FuturePay = 0

0.054a

0.017

0.056a

0.018

N

 

1245

1255

  1. Standard errors are robust standard errors to arbitrary heteroskedasticity
  2. a = Significance at 5 and 10 % level. This table presents several conditional marginal effects. For example, “Future, AfterLunch = 1” refers to the effect of Future conditional on AfterLunch taking the value of one. Likewise, “AfterLunch, Future = 1, FuturePay = 0” captures the effect of timing of the session in the treatments that promised delivery of the good in the future and subjects had to pay in advance