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Online Appendices
Appendix A: Comparing mean SM transfers in response to different FM transfers Hypotheses being tested SM response to $0 = SM response to $0.10 SM response to $0 = SM response to $0.25 SM response to $0 = SM response to $0.50 SM response to $0 = SM response to $0.75 SM response to $0 = SM response to $1 SM response to $0.10 = SM response to $0.25 SM response to $0.10 = SM response to $0.50 SM response to $0.10 = SM response to $0.75 SM response to $0.10 = SM response to $1 SM response to $0.25 = SM response to $0.50 SM response to $0.25 = SM response to $0.75 SM response to $0.25 = SM response to $1 SM response to $0.50 = SM response to $0.75 SM response to $0.50 = SM response to $1 SM response to $0.75 = SM response to $1
Appendix B: Distribution of SM Responses to Each Possible FM Contribution
FM contribution = $0.10
FM contribution = $0.25
0
0
.5
1
1.5
2
.5
1
1.5
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0
FM contribution = $0.75
.5
1
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FM contribution = $1
20
40
60
FM contribution = $0.50
0
0
Percent
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40
60
FM contribution = $0
0
.5
1
1.5
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0
.5
1
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0
.5
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2
SM stated contribution in response to FM contribution ($)
The modal contribution is $0, accounting for 48.5% of all SM contributions. There is no significant difference between the proportion of zero contributions made in response to any of the FM transfers. The next most common transfer is $1, making up 11.4% of all SM contributions. transferring this amount.
2
Appendix C: Classification of SM Types using Linear Regression Approach As a robustness test, SMs were also categorized by fitting a linear model (using ordinary least squares) predicting the SM strategy transfer amount by the FM transfer. An example of this for one participant is shown in Figure 1 below. The points in Figure 1 show the strategy contribution amounts chosen for different FM transfer amounts.
Example of Linear Regression for Individual SM
After fitting a linear model to the data from each participant we categorized them into the following groups, using the following theoretical underpinning and quantitative criteria:
Classification Scheme and Results– Linear Regression Type 1
Beta not significant; y-intercept significantly positive; average transfer>$0.05. Beta not significant, y-intercept not significantly different from zero; average transfer
