Table 3.

Tobit regression of message classification on perceived cues

Dependent variable: frequency considered as promise	(1)	(2)
Mention of money	.03 (.06)	.03 (.06)
Mention of we/us	.04 (.06)	.07 (.06)
Word count	.008*** (.003)	.008*** (.003)
Male		−.09 (.06)
No. of observation	80	79a

Robust Standard errors are reported in parentheses

*, **, *** Correspond to 1, 5 and 10 % significance level, respectively

^aWe lose one observation by adding $male$ as a regressor, because one of the message sender indicates that he/she is bi-gender