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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