Primary Outcomes (explanation)
Re Outcome 1: We use the following question to elicit this outcome.
Imagine you are a colleague of the same seniority as the man, and you witnessed the above interaction. What consequences should the man face? Pick an option that best represents your view.
- No consequences
- Be required to attend mediation with the woman
- Receive a formal warning and be required to attend additional training on workplace conduct
- Be fired
Moreover, at the end of the survey, we ask participants to rank these consequences from least severe (1) to most severe (4). For each video-person pair, we will code the severity of the consequence that the participant selected according to their own ranking.
Re Outcome 2: Each participant is asked if they would be willing to give up their $1 bonus payment to prevent a person who admitted to or was accused of behaving in a way similar to what is described in the video from getting a $1 bonus. The choice is implemented for one of the videos in the survey, the one which describes behavior that someone else who took our survey either admitted to committing or was accused of. Participants do not know which video describes a real person. They make a hypothetical decision for each of the videos, and one of them (related to a real person) is actually implemented.
Re Outcome 3: We will compute an inverse-covariance-weighted index of willingness to condemn based on three outcomes: workplace consequences for the man (primary outcome 1), monetary sacrifice to punish the man (primary outcome 2), and general assessment of the man’s behavior (secondary outcome 1, defined below).
To construct the index we will follow the steps described in the paper “Multiple inference and gender differences in the effects of early intervention: A reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects.” by Anderson (2008), Journal of the American Statistical Association.
Re Heterogeneity:
(a) For heterogeneity by gender, we will use the following question.
What is your gender?
- Female
- Male
- Non-binary
- Other (please describe if you wish)
- I'd prefer not to answer
We will create an indicator variable for whether a participant selected “Male”. We will report heterogeneity of the treatment effects with respect to that indicator variable.
(b) For heterogeneity by age, we will compare the effects for individuals with above/below median age.
(c) For heterogeneity by political affiliation, we will use the following question.
Which of the following best describes your political view?
- Republican Party
- Democratic Party
- Independent
- I'd prefer not to answer
(d) We will compare the effects for individuals with above vs. below median values of an inverse-covariance-weighted index (Anderson, 2008) of traditional gender norms. The following questions are used to construct the index.
How do you feel about the following statements? Do you agree or disagree with them? [Answers are on a five point scale: Strongly disagree, Disagree, Neither agree nor disagree, Agree, Strongly agree]
- All in all, family life suffers when the woman has a full-time job
- A husband's job is to earn money, a wife's job is to look after the home and family
- Both the husband and wife should contribute to the household income
(e) We will compare the effects for individuals with above vs. below median values of an inverse-covariance-weighted index (Anderson, 2008) of masculinity. The following questions are used to construct the index.
[Answers are on a five point scale: Strongly disagree, Disagree, Neither agree nor disagree, Agree, Strongly agree]
- Winning is the most important thing
- Sometimes violent action is necessary
- It bothers me when I have to ask for help
- I love it when men are in charge of women
- It is important to me that people think I am heterosexual
This analysis will be performed for male respondents only.
(f) We will use answers to the Prolific pre-screener question on whether an individual is in full time employment or not.