<table><caption>Table F1: Country Differences in Transfers</caption><thead><tr><th></th><th>(1)</th><th>(2)</th><th>(3)</th><th>(4)</th><th>(5)</th><th>(6)</th><th>(7)</th></tr></thead><tbody><tr><td colspan="8"><strong>Pro-social</strong></td></tr><tr><td>India</td><td>-0.07***<br>(0.02)</td><td>-0.06***<br>(0.02)</td><td>-0.06***<br>(0.02)</td><td>-0.07***<br>(0.02)</td><td>0.00<br>(0.02)</td><td>-0.12***<br>(0.02)</td><td>0.02<br>(0.02)</td></tr><tr><td>Indonesia</td><td>-0.15***<br>(0.01)</td><td>-0.10***<br>(0.02)</td><td>-0.15***<br>(0.02)</td><td>-0.16***<br>(0.02)</td><td>-0.11***<br>(0.02)</td><td>-0.22***<br>(0.02)</td><td>-0.07***<br>(0.02)</td></tr><tr><td>USA</td><td>-0.05***<br>(0.02)</td><td>-0.08***<br>(0.02)</td><td>-0.04***<br>(0.02)</td><td>-0.05***<br>(0.02)</td><td>0.01<br>(0.02)</td><td>-0.08***<br>(0.02)</td><td>-0.00<br>(0.02)</td></tr><tr><td>R-squared</td><td>0.04</td><td>0.22</td><td>0.05</td><td>0.04</td><td>0.21</td><td>0.04</td><td>0.32</td></tr><tr><td colspan="8"><strong>Anti-social</strong></td></tr><tr><td>India</td><td>0.00<br>(0.01)</td><td>-0.02<br>(0.02)</td><td>-0.01<br>(0.01)</td><td>0.01<br>(0.01)</td><td>0.04***<br>(0.01)</td><td>-0.02<br>(0.01)</td><td>0.01<br>(0.02)</td></tr><tr><td>Indonesia</td><td>0.04***<br>(0.01)</td><td>-0.00<br>(0.01)</td><td>0.02**<br>(0.01)</td><td>0.04***<br>(0.01)</td><td>0.09***<br>(0.01)</td><td>0.01<br>(0.02)</td><td>0.04***<br>(0.02)</td></tr><tr><td>USA</td><td>-0.03**<br>(0.01)</td><td>-0.04***<br>(0.01)</td><td>-0.03***<br>(0.01)</td><td>-0.03***<br>(0.01)</td><td>-0.00<br>(0.01)</td><td>-0.03**<br>(0.01)</td><td>-0.01<br>(0.02)</td></tr><tr><td>R-squared</td><td>0.01</td><td>0.05</td><td>0.12</td><td>0.02</td><td>0.08</td><td>0.03</td><td>0.21</td></tr><tr><td>Ad. Ineq. Averse</td><td>✗</td><td>✓</td><td>✗</td><td>✗</td><td>✗</td><td>✗</td><td>✓</td></tr><tr><td>Disad. Ineq. Averse</td><td>✗</td><td>✗</td><td>✓</td><td>✗</td><td>✗</td><td>✗</td><td>✓</td></tr><tr><td>Inequality Averse</td><td>✗</td><td>✗</td><td>✗</td><td>✓</td><td>✗</td><td>✗</td><td>✓</td></tr><tr><td>Income Maximiser</td><td>✗</td><td>✗</td><td>✗</td><td>✗</td><td>✓</td><td>✗</td><td>✓</td></tr><tr><td>Other</td><td>✗</td><td>✗</td><td>✗</td><td>✗</td><td>✗</td><td>✓</td><td>✗</td></tr><tr><td>Clusters</td><td>3,941</td><td>3,941</td><td>3,941</td><td>3,941</td><td>3,941</td><td>3,941</td><td>3,941</td></tr><tr><td>Observations</td><td>23,646</td><td>23,646</td><td>23,646</td><td>23,646</td><td>23,646</td><td>23,646</td><td>23,646</td></tr></tbody></table>

**Notes:** Estimating equation given by equation (F1). Germany is the omitted country. Controls included for gender, comprehension and question order. An *advantageous* (*disadvantageous*) inequality averse individual always pays to reduce advantageous (*disadvantageous*) inequality and is not disadvantageous (*advantageous*) inequality averse. *Inequality averse* individuals are both advantageous and disadvantageous inequality averse. *Income maximisers* maximise their own payoff, and never make a transfer to the matched participant. *Other types* are none of the above. Types are mutually exclusive. Pooled data from Part 1 decisions used. Regressions also include Type dummies and interactions of the Country dummies with the Type dummies. In column 7, Other is the reference category. Standard errors in parentheses. Significance levels: \*\*\*p < 0.01, \*\*p < 0.05, \*p < 0.1.
# G Results from Part 2

In this section, we reproduce all tables shown previously with choices made in Part 1 data, with choices made in Part 2.

Recall that Figure 4 showed remarkable similarity in aggregate payment decisions to those presented in Figure 3. Along the extensive margin, therefore, the magnitude of any differences between Parts 1 and 2 is very small, and not statistically significant. The only pattern of note comes through the intensive margin, where, conditional on making a payment (be it pro- or anti-social), the mean payment made is slightly lower in Part 2, across all countries and across all treatments. This is a levels shift, and all patterns noted above are unchanged in Part 2. Figure G1, where we present the payment distributions in Part 2, when compared with Figure A3, visually shows where in the distribution this levels shift in the intensive margin originate. First, in the Anarchy treatment, there is a large shift in the behavior of Indonesians toward zero payment. There is a similar, though smaller shift toward zero payment in India in the Tax treatment. Other countries change little in their payment decisions in the Anarchy, UBI and Tax treatments. In the Effort Treatment, the distribution changes very little between Parts 1 and 2. Second, somewhat larger changes are observable in the Luck treatment. In Indonesia, in Part 2, there is a large density of payments around zero in the Luck treatment. In other countries, there are fewer instances of anti-social payments of 5, and fewer pro-social payments of 5 units. There is an offsetting increase in the number of pro-social payments $\in [0, 4]$.

<table><caption>Table G1: Choices by Country and Treatment. Part 2.</caption><thead><tr><th rowspan="2"></th><th colspan="3">Germany</th><th colspan="3">India</th><th colspan="3">Indonesia</th><th colspan="3">USA</th></tr><tr><th>Pro (1)</th><th>Anti (2)</th><th>Zero (3)</th><th>Pro (4)</th><th>Anti (5)</th><th>Zero (6)</th><th>Pro (7)</th><th>Anti (8)</th><th>Zero (9)</th><th>Pro (10)</th><th>Anti (11)</th><th>Zero (12)</th></tr></thead><tbody><tr><td>Anarchy</td><td>0.46<br>(0.50)</td><td>0.19<br>(0.40)</td><td>0.34<br>(0.48)</td><td>0.38<br>(0.49)</td><td>0.16<br>(0.37)</td><td>0.46<br>(0.50)</td><td>0.31<br>(0.46)</td><td>0.25<br>(0.43)</td><td>0.44<br>(0.50)</td><td>0.39<br>(0.49)</td><td>0.16<br>(0.37)</td><td>0.45<br>(0.50)</td></tr><tr><td>Tax</td><td>0.42<br>(0.49)</td><td>0.20<br>(0.40)</td><td>0.38<br>(0.49)</td><td>0.39<br>(0.49)</td><td>0.15<br>(0.36)</td><td>0.46<br>(0.50)</td><td>0.30<br>(0.46)</td><td>0.25<br>(0.44)</td><td>0.44<br>(0.50)</td><td>0.36<br>(0.48)</td><td>0.18<br>(0.38)</td><td>0.47<br>(0.50)</td></tr><tr><td>UBI</td><td>0.48<br>(0.50)</td><td>0.18<br>(0.39)</td><td>0.34<br>(0.47)</td><td>0.41<br>(0.49)</td><td>0.16<br>(0.37)</td><td>0.43<br>(0.50)</td><td>0.31<br>(0.46)</td><td>0.21<br>(0.41)</td><td>0.48<br>(0.50)</td><td>0.40<br>(0.49)</td><td>0.15<br>(0.35)</td><td>0.45<br>(0.50)</td></tr><tr><td>Effort</td><td>0.42<br>(0.49)</td><td>0.20<br>(0.40)</td><td>0.38<br>(0.49)</td><td>0.42<br>(0.49)</td><td>0.18<br>(0.39)</td><td>0.40<br>(0.49)</td><td>0.33<br>(0.47)</td><td>0.23<br>(0.42)</td><td>0.44<br>(0.50)</td><td>0.40<br>(0.49)</td><td>0.17<br>(0.38)</td><td>0.42<br>(0.49)</td></tr><tr><td>Luck</td><td>0.49<br>(0.50)</td><td>0.17<br>(0.38)</td><td>0.34<br>(0.47)</td><td>0.44<br>(0.50)</td><td>0.19<br>(0.39)</td><td>0.38<br>(0.48)</td><td>0.33<br>(0.47)</td><td>0.22<br>(0.41)</td><td>0.46<br>(0.50)</td><td>0.45<br>(0.50)</td><td>0.16<br>(0.37)</td><td>0.39<br>(0.49)</td></tr></tbody></table>

Notes: Frequency of payment by country and treatment. Standard deviations in parentheses. 28,287 observations. Choices from Part 2 only.
<figure><img src="image_16.png" /><figcaption>Figure G1: Payment Distributions. Part 2</figcaption></figure>

**Notes:** Ridgeplots show the distribution (kernel densities) of payments across treatments in each country. Negative payments indicate the subject pays to decrease the partner's income, while a positive payment indicates they pay to increase the partner's income. In all countries, the most common payment is of 0 units, in Germany, there is a large concentration at +5 units, in Indonesia, very few non-zero payments are made, leading to a less smooth distribution.
<table><caption>Table G2: Treatment Effects. Extensive Margin. Part 2.</caption><thead><tr><th rowspan="2">Treatment</th><th colspan="3">Pro-Social Payments</th><th colspan="3">Anti-Social Payments</th></tr><tr><th>Equal<br>(1)</th><th>Disadvantageous<br>(2)</th><th>Advantageous<br>(3)</th><th>Equal<br>(4)</th><th>Disadvantageous<br>(5)</th><th>Advantageous<br>(6)</th></tr></thead><tbody><tr><td colspan="7"><strong>Panel A: Germany</strong></td></tr><tr><td>Anarchy</td><td>0.29</td><td>0.37</td><td>0.77</td><td>0.01</td><td>0.32</td><td>0.07</td></tr><tr><td>Tax</td><td>-0.03<br>(0.04)</td><td>0.00<br>(0.05)</td><td>-0.07<br>(0.05)</td><td>0.03<br>(0.03)</td><td>-0.06<br>(0.05)</td><td>0.02<br>(0.03)</td></tr><tr><td>UBI</td><td>0.01<br>(0.04)</td><td>0.05<br>(0.05)</td><td>-0.00<br>(0.05)</td><td>0.03<br>(0.03)</td><td>-0.06<br>(0.05)</td><td>-0.02<br>(0.03)</td></tr><tr><td>Effort</td><td>0.04<br>(0.04)</td><td>-0.03<br>(0.05)</td><td>-0.14***<br>(0.05)</td><td>0.12***<br>(0.03)</td><td>-0.09*<br>(0.05)</td><td>0.04<br>(0.03)</td></tr><tr><td>Luck</td><td>-0.00<br>(0.04)</td><td>-0.03<br>(0.05)</td><td>0.03<br>(0.04)</td><td>0.04*<br>(0.02)</td><td>-0.04<br>(0.05)</td><td>-0.02<br>(0.03)</td></tr><tr><td colspan="7"><strong>Panel B: India</strong></td></tr><tr><td>Anarchy</td><td>0.17</td><td>0.32</td><td>0.35</td><td>0.13</td><td>0.22</td><td>0.17</td></tr><tr><td>Tax</td><td>-0.03<br>(0.05)</td><td>-0.06<br>(0.05)</td><td>-0.03<br>(0.06)</td><td>0.06*<br>(0.03)</td><td>0.00<br>(0.04)</td><td>0.05<br>(0.04)</td></tr><tr><td>UBI</td><td>-0.02<br>(0.05)</td><td>-0.05<br>(0.06)</td><td>-0.04<br>(0.06)</td><td>0.05<br>(0.03)</td><td>0.03<br>(0.04)</td><td>0.05<br>(0.04)</td></tr><tr><td>Effort</td><td>0.00<br>(0.04)</td><td>-0.06<br>(0.05)</td><td>-0.01<br>(0.05)</td><td>0.08**<br>(0.03)</td><td>0.08**<br>(0.04)</td><td>0.03<br>(0.03)</td></tr><tr><td>Luck</td><td>0.00<br>(0.04)</td><td>-0.07<br>(0.06)</td><td>0.06<br>(0.05)</td><td>0.08**<br>(0.03)</td><td>0.08*<br>(0.05)</td><td>0.04<br>(0.03)</td></tr><tr><td colspan="7"><strong>Panel C: Indonesia</strong></td></tr><tr><td>Anarchy</td><td>0.18</td><td>0.29</td><td>0.39</td><td>0.19</td><td>0.34</td><td>0.19</td></tr><tr><td>Tax</td><td>0.01<br>(0.04)</td><td>-0.05<br>(0.04)</td><td>-0.02<br>(0.05)</td><td>0.03<br>(0.04)</td><td>-0.00<br>(0.04)</td><td>0.09**<br>(0.04)</td></tr><tr><td>UBI</td><td>0.01<br>(0.04)</td><td>-0.05<br>(0.04)</td><td>-0.01<br>(0.05)</td><td>0.00<br>(0.04)</td><td>-0.04<br>(0.04)</td><td>0.04<br>(0.04)</td></tr><tr><td>Effort</td><td>0.03<br>(0.04)</td><td>0.00<br>(0.05)</td><td>-0.03<br>(0.05)</td><td>0.07*<br>(0.04)</td><td>-0.04<br>(0.04)</td><td>0.05<br>(0.03)</td></tr><tr><td>Luck</td><td>0.03<br>(0.04)</td><td>0.01<br>(0.05)</td><td>-0.04<br>(0.05)</td><td>0.00<br>(0.03)</td><td>-0.01<br>(0.04)</td><td>0.02<br>(0.03)</td></tr><tr><td colspan="7"><strong>Panel D: USA</strong></td></tr><tr><td>Anarchy</td><td>0.29</td><td>0.33</td><td>0.63</td><td>0.05</td><td>0.25</td><td>0.1</td></tr><tr><td>Tax</td><td>-0.03<br>(0.04)</td><td>-0.01<br>(0.05)</td><td>-0.03<br>(0.05)</td><td>0.03<br>(0.03)</td><td>0.01<br>(0.05)</td><td>0.01<br>(0.03)</td></tr><tr><td>UBI</td><td>0.06<br>(0.04)</td><td>0.08<br>(0.05)</td><td>-0.05<br>(0.05)</td><td>-0.01<br>(0.02)</td><td>-0.03<br>(0.05)</td><td>-0.00<br>(0.03)</td></tr><tr><td>Effort</td><td>0.10**<br>(0.04)</td><td>0.06<br>(0.05)</td><td>-0.03<br>(0.05)</td><td>0.03<br>(0.03)</td><td>0.00<br>(0.05)</td><td>0.00<br>(0.03)</td></tr><tr><td>Luck</td><td>0.07*<br>(0.04)</td><td>0.09*<br>(0.05)</td><td>0.02<br>(0.05)</td><td>0.02<br>(0.02)</td><td>0.01<br>(0.05)</td><td>0.01<br>(0.03)</td></tr></tbody></table>

Notes: Part 2 data used. Difference estimates presented. The *Anarchy* treatment is the baseline group. Each panel shows treatment effects on the extensive margin of payments from Equation (1), relative to Anarchy. Controls included for income strata, gender, comprehension, reading time and question order. Significance levels ***p < 0.01,**p < 0.05,*p < 0.1 test equality between treatments with centralized redistribution and *Anarchy* for a given country and level of equality. Regression run on 28,287 observations with 3,941 clusters, pooled across treatments and countries.
<table><caption>Table G3: A:B Types. Treatment Effects. Extensive Margin. Part 2.</caption><thead><tr><th rowspan="3"></th><th colspan="4">Pro-social Payments</th><th colspan="4">Anti-social Payments</th></tr><tr><th>A:A</th><th>A:B</th><th>B:A</th><th>B:B</th><th>A:A</th><th>A:B</th><th>B:A</th><th>B:B</th></tr><tr><th>(1)</th><th>(2)</th><th>(3)</th><th>(4)</th><th>(5)</th><th>(6)</th><th>(7)</th><th>(8)</th></tr></thead><tbody><tr><td colspan="9"><em>Germany</em></td></tr><tr><td>Anarchy</td><td>0.47</td><td>0.79</td><td>0.41</td><td>0.48</td><td>0.13</td><td>0.07</td><td>0.32</td><td>0.15</td></tr><tr><td>Tax</td><td>-0.04<br>(0.05)</td><td>-0.12**<br>(0.05)</td><td>0.01<br>(0.06)</td><td>-0.02<br>(0.06)</td><td>0.02<br>(0.04)</td><td>0.05<br>(0.04)</td><td>-0.09<br>(0.06)</td><td>-0.03<br>(0.04)</td></tr><tr><td>UBI</td><td>0.07<br>(0.05)</td><td>-0.04<br>(0.06)</td><td>0.04<br>(0.06)</td><td>0.04<br>(0.05)</td><td>-0.05<br>(0.03)</td><td>0.02<br>(0.03)</td><td>-0.05<br>(0.06)</td><td>-0.04<br>(0.04)</td></tr><tr><td>Effort</td><td>0.00<br>(0.05)</td><td>-0.21***<br>(0.05)</td><td>-0.00<br>(0.06)</td><td>-0.06<br>(0.05)</td><td>-0.01<br>(0.04)</td><td>0.04<br>(0.03)</td><td>-0.05<br>(0.06)</td><td>0.04<br>(0.04)</td></tr><tr><td>Luck</td><td>0.08*<br>(0.05)</td><td>-0.13***<br>(0.05)</td><td>0.02<br>(0.06)</td><td>0.02<br>(0.05)</td><td>-0.01<br>(0.04)</td><td>0.04<br>(0.03)</td><td>-0.14**<br>(0.05)</td><td>0.00<br>(0.04)</td></tr><tr><td colspan="9"><em>India</em></td></tr><tr><td>Anarchy</td><td>0.28</td><td>0.32</td><td>0.34</td><td>0.27</td><td>0.14</td><td>0.19</td><td>0.22</td><td>0.20</td></tr><tr><td>Tax</td><td>-0.04<br>(0.06)</td><td>-0.05<br>(0.06)</td><td>-0.06<br>(0.06)</td><td>-0.04<br>(0.06)</td><td>0.09**<br>(0.04)</td><td>0.03<br>(0.04)</td><td>0.01<br>(0.05)</td><td>-0.01<br>(0.04)</td></tr><tr><td>UBI</td><td>-0.02<br>(0.06)</td><td>-0.06<br>(0.06)</td><td>-0.03<br>(0.07)</td><td>-0.04<br>(0.06)</td><td>0.08**<br>(0.04)</td><td>0.07<br>(0.05)</td><td>0.00<br>(0.05)</td><td>0.00<br>(0.04)</td></tr><tr><td>Effort</td><td>-0.02<br>(0.05)</td><td>-0.05<br>(0.06)</td><td>-0.06<br>(0.06)</td><td>-0.03<br>(0.06)</td><td>0.13***<br>(0.04)</td><td>0.05<br>(0.04)</td><td>0.03<br>(0.05)</td><td>0.06<br>(0.04)</td></tr><tr><td>Luck</td><td>-0.00<br>(0.06)</td><td>0.00<br>(0.06)</td><td>-0.06<br>(0.06)</td><td>-0.00<br>(0.06)</td><td>0.11***<br>(0.04)</td><td>0.06<br>(0.04)</td><td>0.04<br>(0.05)</td><td>0.05<br>(0.04)</td></tr><tr><td colspan="9"><em>Indonesia</em></td></tr><tr><td>Anarchy</td><td>0.27</td><td>0.40</td><td>0.32</td><td>0.27</td><td>0.19</td><td>0.18</td><td>0.34</td><td>0.31</td></tr><tr><td>Tax</td><td>-0.01<br>(0.05)</td><td>-0.10*<br>(0.06)</td><td>-0.03<br>(0.05)</td><td>0.02<br>(0.05)</td><td>0.08*<br>(0.04)</td><td>0.14***<br>(0.05)</td><td>-0.01<br>(0.05)</td><td>-0.04<br>(0.04)</td></tr><tr><td>UBI</td><td>0.02<br>(0.05)</td><td>-0.02<br>(0.06)</td><td>-0.06<br>(0.05)</td><td>-0.04<br>(0.05)</td><td>0.09**<br>(0.04)</td><td>0.07*<br>(0.04)</td><td>-0.05<br>(0.05)</td><td>-0.10**<br>(0.04)</td></tr><tr><td>Effort</td><td>0.05<br>(0.05)</td><td>-0.09*<br>(0.05)</td><td>-0.02<br>(0.06)</td><td>-0.02<br>(0.05)</td><td>0.02<br>(0.04)</td><td>0.08**<br>(0.04)</td><td>-0.03<br>(0.05)</td><td>-0.01<br>(0.05)</td></tr><tr><td>Luck</td><td>-0.02<br>(0.05)</td><td>-0.14***<br>(0.05)</td><td>0.03<br>(0.05)</td><td>0.05<br>(0.05)</td><td>0.08*<br>(0.04)</td><td>0.10***<br>(0.04)</td><td>-0.09**<br>(0.05)</td><td>-0.06<br>(0.04)</td></tr><tr><td colspan="9"><em>USA</em></td></tr><tr><td>Anarchy</td><td>0.45</td><td>0.64</td><td>0.32</td><td>0.37</td><td>0.14</td><td>0.12</td><td>0.24</td><td>0.14</td></tr><tr><td>Tax</td><td>0.01<br>(0.06)</td><td>-0.04<br>(0.06)</td><td>-0.01<br>(0.05)</td><td>-0.04<br>(0.05)</td><td>0.04<br>(0.04)</td><td>0.00<br>(0.03)</td><td>0.01<br>(0.05)</td><td>0.01<br>(0.04)</td></tr><tr><td>UBI</td><td>-0.01<br>(0.05)</td><td>-0.12*<br>(0.06)</td><td>0.11*<br>(0.06)</td><td>0.09<br>(0.06)</td><td>-0.02<br>(0.04)</td><td>0.01<br>(0.03)</td><td>-0.02<br>(0.05)</td><td>-0.02<br>(0.03)</td></tr><tr><td>Effort</td><td>0.04<br>(0.06)</td><td>-0.12**<br>(0.06)</td><td>0.11*<br>(0.06)</td><td>0.01<br>(0.05)</td><td>0.00<br>(0.04)</td><td>0.03<br>(0.03)</td><td>-0.05<br>(0.05)</td><td>0.07*<br>(0.04)</td></tr><tr><td>Luck</td><td>0.00<br>(0.05)</td><td>-0.13**<br>(0.06)</td><td>0.20***<br>(0.06)</td><td>0.13**<br>(0.06)</td><td>0.00<br>(0.04)</td><td>0.02<br>(0.03)</td><td>-0.05<br>(0.05)</td><td>0.05<br>(0.04)</td></tr></tbody></table>

**Notes:** Part 2 data used. Difference estimates presented. The *Anarchy* Treatment is the baseline group. Significance levels ***$p < 0.01$, **$p < 0.05$, *$p < 0.1$ refer to the test of equality between treatments with centralized distribution and the *Anarchy* Treatment for that country, for a given level of inequality.
<table><caption>Table G4: A:B Types, Equality FE. Extensive Margin. Pro-social Payments, Part 2.</caption><thead><tr><th rowspan="2"></th><th colspan="2">A:A</th><th colspan="2">A:B</th><th colspan="2">B:A</th><th colspan="2">B:B</th></tr><tr><th>Equal</th><th>Disadvantageous</th><th>Advantageous</th><th>Equal</th><th>Disadvantageous</th><th>Advantageous</th><th>Equal</th><th>Disadvantageous</th><th>Advantageous</th></tr><tr><th></th><th>(1)</th><th>(2)</th><th>(3)</th><th>(4)</th><th>(5)</th><th>(6)</th><th>(7)</th><th>(8)</th><th>(9)</th><th>(10)</th><th>(11)</th><th>(12)</th></tr></thead><tbody><tr><th colspan="13" style="text-align: left;">Germany</th></tr><tr><th>Anarchy</th><td>0.24</td><td>0.28</td><td>0.76</td><td>-</td><td>-</td><td>0.80</td><td>-</td><td>0.37</td><td>-</td><td>0.34</td><td>0.43</td><td>0.70</td></tr><tr><th>Tax</th><td>-0.00</td><td>0.04</td><td>-0.05</td><td>-</td><td>0.41***</td><td>-0.10*</td><td>-</td><td>-0.00</td><td>0.78***</td><td>-0.06</td><td>-0.02</td><td>-0.05</td></tr><tr><th>UBI</th><td>(0.05)</td><td>(0.07)</td><td>(0.08)</td><td>-</td><td>(0.10)</td><td>(0.06)</td><td>-</td><td>(0.06)</td><td>(0.11)</td><td>(0.07)</td><td>(0.08)</td><td>(0.09)</td></tr><tr><th>Effort</th><td>(0.06)</td><td>(0.07)</td><td>(0.07)</td><td>-</td><td>-</td><td>-0.04</td><td>-</td><td>0.04</td><td>-</td><td>-0.03</td><td>0.07</td><td>0.06</td></tr><tr><th>Luck</th><td>0.01</td><td>0.02</td><td>-0.05</td><td>0.29***</td><td>0.35***</td><td>-0.07</td><td>0.42***</td><td>-0.06</td><td>0.43***</td><td>0.03</td><td>-0.07</td><td>-0.20**</td></tr><tr><th>Luck</th><td>(0.06)</td><td>(0.07)</td><td>(0.08)</td><td>(0.08)</td><td>(0.09)</td><td>(0.05)</td><td>(0.09)</td><td>(0.06)</td><td>(0.10)</td><td>(0.07)</td><td>(0.08)</td><td>(0.08)</td></tr><tr><th>Luck</th><td>0.07</td><td>(0.07)</td><td>0.09</td><td>0.35***</td><td>0.28***</td><td>0.03</td><td>0.21**</td><td>-0.01</td><td>0.69***</td><td>-0.11*</td><td>-0.10</td><td>0.04</td></tr><tr><th>Luck</th><td>(0.06)</td><td>(0.07)</td><td>(0.07)</td><td>(0.08)</td><td>(0.08)</td><td>(0.05)</td><td>(0.08)</td><td>(0.06)</td><td>(0.10)</td><td>(0.06)</td><td>(0.07)</td><td>(0.08)</td></tr><tr><th colspan="13" style="text-align: left;">India</th></tr><tr><th>Anarchy</th><td>0.17</td><td>0.28</td><td>0.33</td><td>-</td><td>-</td><td>0.35</td><td>-</td><td>0.32</td><td>-</td><td>0.18</td><td>0.34</td><td>0.37</td></tr><tr><th>Tax</th><td>-0.01</td><td>-0.03</td><td>-0.03</td><td>-</td><td>0.25***</td><td>-0.06</td><td>-</td><td>-0.06</td><td>0.45***</td><td>-0.06</td><td>-0.09</td><td>-0.02</td></tr><tr><th>UBI</th><td>(0.06)</td><td>(0.08)</td><td>(0.09)</td><td>-</td><td>(0.09)</td><td>(0.06)</td><td>-</td><td>(0.06)</td><td>(0.10)</td><td>(0.06)</td><td>(0.09)</td><td>(0.09)</td></tr><tr><th>Effort</th><td>0.01</td><td>-0.06</td><td>0.01</td><td>-</td><td>-</td><td>-0.06</td><td>-</td><td>-0.03</td><td>-</td><td>-0.04</td><td>-0.08</td><td>0.01</td></tr><tr><th>Effort</th><td>(0.06)</td><td>(0.08)</td><td>(0.07)</td><td>(0.09)</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.07)</td><td>-</td><td>(0.07)</td><td>(0.09)</td><td>(0.09)</td></tr><tr><th>Luck</th><td>-0.02</td><td>-0.10</td><td>0.04</td><td>0.14**</td><td>0.21***</td><td>0.03</td><td>0.24**</td><td>-0.05</td><td>0.11</td><td>0.05</td><td>-0.04</td><td>-0.13</td></tr><tr><th>Luck</th><td>(0.06)</td><td>(0.08)</td><td>(0.09)</td><td>(0.06)</td><td>(0.07)</td><td>(0.06)</td><td>(0.10)</td><td>(0.07)</td><td>(0.10)</td><td>(0.07)</td><td>(0.08)</td><td>(0.08)</td></tr><tr><th>Luck</th><td>-0.03</td><td>-0.03</td><td>0.07</td><td>0.20***</td><td>0.25***</td><td>0.06</td><td>0.17**</td><td>-0.07</td><td>0.46***</td><td>0.01</td><td>-0.08</td><td>0.00</td></tr><tr><th>Luck</th><td>(0.06)</td><td>(0.08)</td><td>(0.09)</td><td>(0.06)</td><td>(0.07)</td><td>(0.06)</td><td>(0.08)</td><td>(0.07)</td><td>(0.10)</td><td>(0.07)</td><td>(0.09)</td><td>(0.09)</td></tr><tr><th colspan="13" style="text-align: left;">Indonesia</th></tr><tr><th>Anarchy</th><td>0.14</td><td>0.25</td><td>0.34</td><td>-</td><td>-</td><td>0.42</td><td>-</td><td>0.29</td><td>-</td><td>0.22</td><td>0.30</td><td>0.37</td></tr><tr><th>Tax</th><td>0.02</td><td>-0.07</td><td>0.11</td><td>-</td><td>0.17**</td><td>-0.09</td><td>-</td><td>-0.02</td><td>0.38***</td><td>-0.00</td><td>-0.04</td><td>0.04</td></tr><tr><th>UBI</th><td>(0.05)</td><td>(0.06)</td><td>(0.09)</td><td>-</td><td>(0.07)</td><td>(0.06)</td><td>-</td><td>(0.05)</td><td>(0.09)</td><td>(0.06)</td><td>(0.07)</td><td>(0.08)</td></tr><tr><th>Effort</th><td>0.09</td><td>-0.04</td><td>0.03</td><td>-</td><td>-</td><td>-0.02</td><td>-</td><td>-0.05</td><td>-</td><td>-0.08</td><td>-0.05</td><td>0.01</td></tr><tr><th>Effort</th><td>(0.06)</td><td>(0.07)</td><td>(0.08)</td><td>(0.05)</td><td>(0.06)</td><td>(0.06)</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.06)</td><td>(0.07)</td><td>(0.08)</td></tr><tr><th>Luck</th><td>0.06</td><td>0.05</td><td>0.05</td><td>0.20***</td><td>0.26***</td><td>-0.03</td><td>0.25***</td><td>-0.01</td><td>0.24***</td><td>0.00</td><td>0.01</td><td>-0.09</td></tr><tr><th>Luck</th><td>(0.05)</td><td>(0.07)</td><td>(0.08)</td><td>(0.05)</td><td>(0.06)</td><td>(0.06)</td><td>(0.09)</td><td>(0.06)</td><td>(0.08)</td><td>(0.06)</td><td>(0.07)</td><td>(0.08)</td></tr><tr><th>Luck</th><td>0.03</td><td>0.04</td><td>-0.10</td><td>0.19***</td><td>0.29***</td><td>-0.11*</td><td>0.30***</td><td>-0.00</td><td>0.52***</td><td>-0.00</td><td>0.02</td><td>0.05</td></tr><tr><th>Luck</th><td>(0.05)</td><td>(0.07)</td><td>(0.07)</td><td>(0.05)</td><td>(0.06)</td><td>(0.06)</td><td>(0.07)</td><td>(0.06)</td><td>(0.09)</td><td>(0.06)</td><td>(0.07)</td><td>(0.07)</td></tr><tr><th colspan="13" style="text-align: left;">USA</th></tr><tr><th>Anarchy</th><td>0.25</td><td>0.39</td><td>0.65</td><td>-</td><td>-</td><td>0.67</td><td>-</td><td>0.30</td><td>-</td><td>0.33</td><td>0.32</td><td>0.52</td></tr><tr><th>Tax</th><td>0.07</td><td>-0.00</td><td>0.02</td><td>-</td><td>0.49***</td><td>-0.04</td><td>-</td><td>-0.03</td><td>0.56***</td><td>-0.12**</td><td>-0.01</td><td>-0.04</td></tr><tr><th>UBI</th><td>(0.06)</td><td>(0.09)</td><td>(0.09)</td><td>-</td><td>(0.09)</td><td>(0.06)</td><td>-</td><td>(0.05)</td><td>(0.09)</td><td>(0.06)</td><td>(0.07)</td><td>(0.08)</td></tr><tr><th>Effort</th><td>(0.06)</td><td>-0.04</td><td>0.03</td><td>-</td><td>-</td><td>-0.12*</td><td>-</td><td>0.11*</td><td>-</td><td>0.08</td><td>0.07</td><td>0.15*</td></tr><tr><th>Effort</th><td>0.11*</td><td>-0.04</td><td>0.04</td><td>0.40***</td><td>0.35***</td><td>-0.02</td><td>0.50***</td><td>0.09</td><td>0.38***</td><td>0.04</td><td>0.08</td><td>-0.05</td></tr><tr><th>Luck</th><td>(0.06)</td><td>(0.08)</td><td>(0.09)</td><td>(0.06)</td><td>(0.06)</td><td>(0.06)</td><td>(0.10)</td><td>(0.06)</td><td>(0.11)</td><td>(0.06)</td><td>(0.07)</td><td>(0.08)</td></tr><tr><th>Luck</th><td>0.09</td><td>-0.01</td><td>-0.00</td><td>0.34***</td><td>0.40***</td><td>-0.04</td><td>0.42***</td><td>0.17**</td><td>0.68***</td><td>0.07</td><td>0.09</td><td>0.15**</td></tr><tr><th>Luck</th><td>(0.06)</td><td>(0.08)</td><td>(0.09)</td><td>(0.05)</td><td>(0.06)</td><td>(0.06)</td><td>(0.07)</td><td>(0.07)</td><td>(0.08)</td><td>(0.07)</td><td>(0.08)</td><td>(0.08)</td></tr></tbody></table>

Notes: Part 2 data used. Difference estimates presented. The Anarchy treatment is the baseline group. We interest type dual fixed effects (A,A,B,BA,BB) with inequality level fixed effects (equal, disadvantageous and advantageous). As such, the significance levels **p<0.01**, *p<0.05*, **p<0.1** refer to the test of equality between treatments with contrasted distributions and the Anarchy treatment for that country, *p<0.05* for a given level of inequality and type dual. The exception to this is in columns 1, 7 and 9 where estimation for the disadvantageous private transfers. Controls included for gender, income, comprehension, time taken and question order. Regression run on 28287 observations and 3941 clusters.
<table><caption>Table G5: A:B Types. Equality FE. Anti-social Payments. Extensive Margin. Part 2.</caption><thead><tr><th rowspan="2"></th><th rowspan="2">Equal</th><th colspan="2">A:A</th><th colspan="2">A:B</th><th colspan="2">B:A</th><th colspan="2">B:B</th></tr><tr><th>Disadvantageous</th><th>Advantageous</th><th>Equal</th><th>Disadvantageous</th><th>Advantageous</th><th>Equal</th><th>Disadvantageous</th><th>Advantageous</th></tr><tr><th></th><th>(1)</th><th>(2)</th><th>(3)</th><th>(4)</th><th>(5)</th><th>(6)</th><th>(7)</th><th>(8)</th><th>(9)</th><th>(10)</th><th>(11)</th><th>(12)</th></tr></thead><tbody><tr><th colspan="13" style="text-align: left;">Germany</th></tr><tr><th>Anarchy</th><td>0.04</td><td>0.34</td><td>0.09</td><td>-</td><td>-</td><td>0.05</td><td>-</td><td>0.34</td><td>-</td><td>-0.06</td><td>0.29</td><td>0.12</td></tr><tr><th>Tax</th><td>0.03</td><td>-0.02</td><td>-0.02</td><td>-</td><td>0.25***</td><td>0.05</td><td>-</td><td>-0.09</td><td>0.10</td><td>0.02</td><td>-0.06</td><td>0.00</td></tr><tr><th>UBI</th><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td><td>-0.05**</td><td>(0.09)</td><td>(0.04)</td><td>-0.02</td><td>(0.06)</td><td>(0.08)</td><td>(0.03)</td><td>(0.08)</td><td>(0.06)</td></tr><tr><th>Effort</th><td>0.05</td><td>-0.07</td><td>-0.05**</td><td>-</td><td>-</td><td>0.02</td><td>-</td><td>-0.05</td><td>-</td><td>0.02</td><td>-0.06</td><td>-0.08</td></tr><tr><th>Luck</th><td>(0.04)</td><td>(0.07)</td><td>(0.04)</td><td>-</td><td>-</td><td>(0.03)</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.03)</td><td>(0.07)</td><td>(0.05)</td></tr><tr><th></th><td>0.02</td><td>-0.05</td><td>-0.02</td><td>0.04</td><td>0.24***</td><td>0.01</td><td>0.31***</td><td>-0.07</td><td>0.30***</td><td>0.21***</td><td>-0.10</td><td>0.04</td></tr><tr><th></th><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td><td>(0.05)</td><td>(0.07)</td><td>(0.03)</td><td>(0.08)</td><td>(0.06)</td><td>(0.09)</td><td>(0.05)</td><td>(0.07)</td><td>(0.05)</td></tr><tr><th></th><td>0.03</td><td>-0.04</td><td>-0.03</td><td>0.04</td><td>0.33***</td><td>0.00</td><td>0.07</td><td>-0.06</td><td>0.04</td><td>0.07*</td><td>-0.01</td><td>-0.06</td></tr><tr><th></th><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td><td>(0.05)</td><td>(0.07)</td><td>(0.03)</td><td>(0.06)</td><td>(0.06)</td><td>(0.06)</td><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td></tr><tr><th colspan="13" style="text-align: left;">India</th></tr><tr><th>Anarchy</th><td>0.12</td><td>0.22</td><td>0.13</td><td>-</td><td>-</td><td>0.17</td><td>-</td><td>0.24</td><td>-</td><td>0.15</td><td>0.22</td><td>0.19</td></tr><tr><th>Tax</th><td>0.11**</td><td>0.05</td><td>0.06</td><td>-</td><td>0.22***</td><td>0.05</td><td>-</td><td>-0.02</td><td>0.29***</td><td>0.00</td><td>-0.02</td><td>0.04</td></tr><tr><th>UBI</th><td>(0.05)</td><td>(0.06)</td><td>(0.05)</td><td>-</td><td>(0.06)</td><td>(0.04)</td><td>-</td><td>(0.05)</td><td>(0.08)</td><td>(0.05)</td><td>(0.06)</td><td>(0.07)</td></tr><tr><th>Effort</th><td>0.10**</td><td>0.10</td><td>0.05</td><td>-</td><td>-</td><td>0.07</td><td>-</td><td>0.00</td><td>-</td><td>-0.01</td><td>0.04</td><td>-0.02</td></tr><tr><th>Luck</th><td>(0.04)</td><td>(0.07)</td><td>(0.05)</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>(0.07)</td><td>(0.06)</td></tr><tr><th></th><td>0.11**</td><td>0.20***</td><td>0.09</td><td>0.23***</td><td>0.37***</td><td>0.02</td><td>0.16**</td><td>0.04</td><td>0.22**</td><td>0.03</td><td>0.06</td><td>0.03</td></tr><tr><th></th><td>(0.05)</td><td>(0.07)</td><td>(0.06)</td><td>(0.05)</td><td>(0.06)</td><td>(0.04)</td><td>(0.07)</td><td>(0.05)</td><td>(0.10)</td><td>(0.05)</td><td>(0.06)</td><td>(0.06)</td></tr><tr><th></th><td>0.15***</td><td>0.09</td><td>0.08</td><td>0.21***</td><td>0.34***</td><td>0.05</td><td>0.21***</td><td>0.08</td><td>0.16***</td><td>0.02</td><td>0.08</td><td>0.02</td></tr><tr><th></th><td>(0.05)</td><td>(0.07)</td><td>(0.06)</td><td>(0.05)</td><td>(0.07)</td><td>(0.04)</td><td>(0.06)</td><td>(0.06)</td><td>(0.06)</td><td>(0.05)</td><td>(0.07)</td><td>(0.06)</td></tr><tr><th colspan="13" style="text-align: left;">Indonesia</th></tr><tr><th>Anarchy</th><td>0.14</td><td>0.29</td><td>0.20</td><td>-</td><td>-</td><td>0.16</td><td>-</td><td>0.35</td><td>-</td><td>0.24</td><td>0.37</td><td>0.26</td></tr><tr><th>Tax</th><td>0.06</td><td>0.09</td><td>0.01</td><td>-</td><td>0.36***</td><td>0.15***</td><td>-</td><td>-0.02</td><td>0.29***</td><td>-0.01</td><td>-0.06</td><td>-0.01</td></tr><tr><th>UBI</th><td>(0.05)</td><td>(0.07)</td><td>(0.07)</td><td>-</td><td>(0.08)</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>(0.08)</td><td>(0.06)</td><td>(0.07)</td><td>(0.07)</td></tr><tr><th>Effort</th><td>0.10*</td><td>0.12</td><td>0.04</td><td>-</td><td>-</td><td>0.07</td><td>-</td><td>-0.05</td><td>-</td><td>-0.10*</td><td>-0.18***</td><td>-0.04</td></tr><tr><th>Luck</th><td>(0.05)</td><td>(0.08)</td><td>(0.06)</td><td>-</td><td>-</td><td>(0.04)</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>(0.06)</td><td>(0.07)</td></tr><tr><th></th><td>0.05</td><td>(0.01)</td><td>0.01</td><td>0.26***</td><td>0.33***</td><td>0.06</td><td>0.33***</td><td>-0.03</td><td>0.30***</td><td>0.07</td><td>-0.09</td><td>0.02</td></tr><tr><th></th><td>(0.05)</td><td>(0.07)</td><td>(0.06)</td><td>(0.05)</td><td>(0.06)</td><td>(0.04)</td><td>(0.09)</td><td>(0.06)</td><td>(0.09)</td><td>(0.06)</td><td>(0.07)</td><td>(0.06)</td></tr><tr><th></th><td>0.05</td><td>0.15**</td><td>-0.00</td><td>0.21***</td><td>0.41***</td><td>0.07*</td><td>0.19***</td><td>-0.06</td><td>0.16***</td><td>-0.06</td><td>-0.08</td><td>-0.07</td></tr><tr><th></th><td>(0.05)</td><td>(0.07)</td><td>(0.06)</td><td>(0.04)</td><td>(0.06)</td><td>(0.04)</td><td>(0.05)</td><td>(0.06)</td><td>(0.05)</td><td>(0.05)</td><td>(0.06)</td><td>(0.06)</td></tr><tr><th colspan="13" style="text-align: left;">USA</th></tr><tr><th>Anarchy</th><td>0.08</td><td>0.28</td><td>0.10</td><td>-</td><td>-</td><td>0.09</td><td>-</td><td>0.25</td><td>-</td><td>0.03</td><td>0.26</td><td>0.08</td></tr><tr><th>Tax</th><td>0.03</td><td>0.03</td><td>0.00</td><td>-</td><td>0.29***</td><td>-0.00</td><td>-</td><td>0.02</td><td>0.10*</td><td>0.03</td><td>-0.05</td><td>0.08</td></tr><tr><th>UBI</th><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td><td>-</td><td>(0.08)</td><td>(0.03)</td><td>-</td><td>(0.06)</td><td>(0.05)</td><td>(0.03)</td><td>(0.07)</td><td>(0.05)</td></tr><tr><th>Effort</th><td>-0.02</td><td>-0.03</td><td>-0.03</td><td>-</td><td>-</td><td>0.01</td><td>-</td><td>-0.02</td><td>-</td><td>-0.01</td><td>-0.06</td><td>-0.00</td></tr><tr><th>Luck</th><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td><td>-</td><td>-</td><td>(0.03)</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.03)</td><td>(0.07)</td><td>(0.05)</td></tr><tr><th></th><td>-0.01</td><td>0.05</td><td>-0.05</td><td>0.06*</td><td>0.33***</td><td>-0.00</td><td>0.06</td><td>-0.03</td><td>0.13</td><td>0.10**</td><td>-0.02</td><td>0.05</td></tr><tr><th></th><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td><td>(0.03)</td><td>(0.06)</td><td>(0.03)</td><td>(0.05)</td><td>(0.05)</td><td>(0.08)</td><td>(0.04)</td><td>(0.06)</td><td>(0.05)</td></tr><tr><th></th><td>-0.02</td><td>-0.03</td><td>0.01</td><td>0.07**</td><td>0.27***</td><td>-0.01</td><td>0.07*</td><td>-0.00</td><td>0.14***</td><td>0.05</td><td>0.01</td><td>0.05</td></tr><tr><th></th><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td><td>(0.03)</td><td>(0.05)</td><td>(0.03)</td><td>(0.04)</td><td>(0.06)</td><td>(0.05)</td><td>(0.04)</td><td>(0.07)</td><td>(0.05)</td></tr></tbody></table>

Notes: Part 2 data used. Difference estimates presented. The Anarchy treatment is the baseline group. We interact type, fixed effects (A:A, A:B, B:A, B:B) with inequality level fixed effects (equal, disadvantageous and advantageous). As such, the significance levels **p < 0.01, *p < 0.05, p < 0.1 refer to the test of equality between treatments with centralized distribution and the Anarchy treatment for that country, for a given level of inequality and type fixed. The exception to this is in columns 4.7 and 9 where estimation for the Anarchy treatment is not possible (e.g. Column 9 estimates private transfers in situations of advantageous inequality between a B-type and an A-type, and absent centralized redistribution. A-types are always wealthier than B-types), and so significance levels refer to the test against a null of zero private transfers. Controls included for gender, income, comprehension, time taken and question order. Regression run on 28287 observations and 3941 clusters.
<table><caption>Table G6: Treatment Effects with IPW correction. Extensive Margin. Part 2.</caption><thead><tr><th rowspan="2"></th><th colspan="3">Pro-social Payments</th><th colspan="3">Anti-social Payments</th></tr><tr><th>Equal</th><th>Disadvantageous</th><th>Advantageous</th><th>Equal</th><th>Disadvantageous</th><th>Advantageous</th></tr><tr><th></th><th>(1)</th><th>(2)</th><th>(3)</th><th>(4)</th><th>(5)</th><th>(6)</th></tr></thead><tbody><tr><td colspan="7"><em>Germany</em></td></tr><tr><td>Anarchy</td><td>0.29</td><td>0.37</td><td>0.77</td><td>0.01</td><td>0.32</td><td>0.07</td></tr><tr><td>Tax</td><td>-0.03<br>(0.04)</td><td>0.00<br>(0.05)</td><td>-0.07<br>(0.05)</td><td>0.03<br>(0.03)</td><td>-0.06<br>(0.05)</td><td>0.02<br>(0.03)</td></tr><tr><td>UBI</td><td>0.01<br>(0.04)</td><td>0.05<br>(0.05)</td><td>-0.00<br>(0.05)</td><td>0.03<br>(0.03)</td><td>-0.06<br>(0.05)</td><td>-0.02<br>(0.03)</td></tr><tr><td>Effort</td><td>0.04<br>(0.04)</td><td>-0.03<br>(0.05)</td><td>-0.14***<br>(0.05)</td><td>0.12***<br>(0.03)</td><td>-0.09*<br>(0.05)</td><td>0.04<br>(0.03)</td></tr><tr><td>Luck</td><td>-0.00<br>(0.04)</td><td>-0.03<br>(0.05)</td><td>0.03<br>(0.04)</td><td>0.04*<br>(0.02)</td><td>-0.04<br>(0.05)</td><td>-0.02<br>(0.03)</td></tr><tr><td colspan="7"><em>India</em></td></tr><tr><td>Anarchy</td><td>0.17</td><td>0.32</td><td>0.35</td><td>0.13</td><td>0.22</td><td>0.17</td></tr><tr><td>Tax</td><td>-0.03<br>(0.05)</td><td>-0.06<br>(0.05)</td><td>-0.03<br>(0.06)</td><td>0.06*<br>(0.03)</td><td>0.00<br>(0.04)</td><td>0.05<br>(0.04)</td></tr><tr><td>UBI</td><td>-0.02<br>(0.05)</td><td>-0.05<br>(0.06)</td><td>-0.04<br>(0.06)</td><td>0.05<br>(0.03)</td><td>0.03<br>(0.04)</td><td>0.05<br>(0.04)</td></tr><tr><td>Effort</td><td>0.00<br>(0.04)</td><td>-0.06<br>(0.05)</td><td>-0.01<br>(0.05)</td><td>0.08**<br>(0.03)</td><td>0.08**<br>(0.04)</td><td>0.03<br>(0.03)</td></tr><tr><td>Luck</td><td>0.00<br>(0.04)</td><td>-0.07<br>(0.06)</td><td>0.06<br>(0.05)</td><td>0.08**<br>(0.03)</td><td>0.08*<br>(0.05)</td><td>0.04<br>(0.03)</td></tr><tr><td colspan="7"><em>Indonesia</em></td></tr><tr><td>Anarchy</td><td>0.18</td><td>0.29</td><td>0.39</td><td>0.19</td><td>0.34</td><td>0.19</td></tr><tr><td>Tax</td><td>0.01<br>(0.04)</td><td>-0.05<br>(0.04)</td><td>-0.02<br>(0.05)</td><td>0.03<br>(0.04)</td><td>-0.00<br>(0.04)</td><td>0.09**<br>(0.04)</td></tr><tr><td>UBI</td><td>0.01<br>(0.04)</td><td>-0.05<br>(0.04)</td><td>-0.01<br>(0.05)</td><td>0.00<br>(0.04)</td><td>-0.04<br>(0.04)</td><td>0.04<br>(0.04)</td></tr><tr><td>Effort</td><td>0.03<br>(0.04)</td><td>0.00<br>(0.05)</td><td>-0.03<br>(0.05)</td><td>0.07*<br>(0.04)</td><td>-0.04<br>(0.04)</td><td>0.05<br>(0.03)</td></tr><tr><td>Luck</td><td>0.03<br>(0.04)</td><td>0.01<br>(0.05)</td><td>-0.04<br>(0.05)</td><td>0.00<br>(0.03)</td><td>-0.01<br>(0.04)</td><td>0.02<br>(0.03)</td></tr><tr><td colspan="7"><em>USA</em></td></tr><tr><td>Anarchy</td><td>0.29</td><td>0.33</td><td>0.63</td><td>0.05</td><td>0.25</td><td>0.10</td></tr><tr><td>Tax</td><td>-0.03<br>(0.04)</td><td>-0.01<br>(0.05)</td><td>-0.03<br>(0.05)</td><td>0.03<br>(0.03)</td><td>0.01<br>(0.05)</td><td>0.01<br>(0.03)</td></tr><tr><td>UBI</td><td>0.06<br>(0.04)</td><td>0.08<br>(0.05)</td><td>-0.05<br>(0.05)</td><td>-0.01<br>(0.02)</td><td>-0.03<br>(0.05)</td><td>-0.00<br>(0.03)</td></tr><tr><td>Effort</td><td>0.10**<br>(0.04)</td><td>0.06<br>(0.05)</td><td>-0.03<br>(0.05)</td><td>0.03<br>(0.03)</td><td>0.00<br>(0.05)</td><td>0.00<br>(0.03)</td></tr><tr><td>Luck</td><td>0.07*<br>(0.04)</td><td>0.09*<br>(0.05)</td><td>0.02<br>(0.05)</td><td>0.02<br>(0.02)</td><td>0.01<br>(0.05)</td><td>0.01<br>(0.03)</td></tr></tbody></table>

Notes: Part 2 data used. Difference estimates presented. The *Anarchy* treatment is the baseline group. Specifically, the Anarchy row show the mean transfer frequency when there is no centralized redistribution. Each panel shows treatment effects on the extensive margin of payments from Equation 1, relative to *Anarchy*. Income strata, gender, comprehension and reading time controlled for. Significance levels \*\*\*p < 0.01, \*\*p < 0.05, \*p < 0.1 test equality between treatments with centralized redistribution and *Anarchy* for a given country and level of equality. Regression run on 28287 observations with 3941 clusters, pooled across treatments and countries. R-squared is 0.45 in the pro-social frame, and 0.23 in the anti-social frame. Inverse Probability Weighting used.
<figure><img src="image_17.png" /><figcaption>Figure G2: Difference Estimates. Part 1 vs Part 2</figcaption></figure>

**Notes:** Coefficient estimates and 90% confidence intervals for a regression of pro- or anti-social transfer on Part 2 dummy. Regressions include individual fixed effects. Sample restricted to choices made with the same inequality level (advantageous, disadvantageous or perfect equality) in both parts. Separate regressions are run for each country and treatment. Standard errors are clustered at the individual level.
# H Social Mobility in Part 2

While existing evidence on the extent of crowding out is mixed, recent research finds people are more willing to help those who are poor due to bad luck than those who are poor because they put in little effort: that is, this work finds pairwise treatment differences between *Luck* and *Effort* (Almäs et al., 2020, 2021). Their study contrasts luck and effort by examining a third party’s willingness to redistribute. In contrast, our design focuses on the impact of income mobility via luck and effort, specifically how individuals perceive and respond to moving up the income distribution through these different means. Our experimental design is more similar to Gangadharan et al. (2021) who study anti-social behavior when individuals move up the income ladder through luck rather than effort. They show that tendency is particularly pronounced among low-income individuals, who are less likely to engage in anti-social behavior when their upward mobility is attributed to effort. The focus of our paper is different: we study whether mobility via luck or effort impacts crowding out.

To more directly compare our results to Almäs et al. (2020, 2021) and Gangadharan et al. (2021), we study responses in Part 2. We do this because, in the studies just mentioned, redistribution between high and low income types has been realized prior to redistribution choices. To test for differences between Luck and Effort once public redistribution has been implemented, we estimate equation (H1). The only difference between equations (1) and (H1) is that the latter includes a dummy variable, $M_m$, indicating whether the subject was socially mobile, and a series of associated interactions between this dummy variable, and the inequality, country and treatment fixed effects. Note that exogeneity of $M_m$ is necessary to include it in the interaction terms. In the Luck Treatment, whether a B-type moves up the income ladder is clearly exogenous. In the Effort Treatment, subjects are told that the 15% with the highest score on a counting zero’s effort task will move up the ladder, they therefore believe that whether they move up is exogenous, as they have no control over others’ effort.

$$ 
\begin{aligned}
y_{itce} = & \beta_1 T_t + \beta_2 C_c + \beta_3 E_e + \beta_4 M_m + \beta_{5tc} \sum_{tc} (T_t \times C_c) + \beta_{6te} \sum_{te} (T_t \times E_e) \\ 
& + \beta_{7tm} \sum_{tm} (T_t \times M_m) + \beta_{8ec} \sum_{ec} (E_e \times C_c) + \beta_{9cm} \sum_{cm} (C_c \times M_m) \\ 
& + \beta_{10em} \sum_{em} (E_e \times M_m) + \beta_{11tce} \sum_{tce} (T_t \times C_c \times E_e) + \beta_{12tcm} \sum_{tcm} (T_t \times C_c \times M_m) \\ 
& + \beta_{13tme} \sum_{tme} (T_t \times M_m \times E_e) + \beta_{14mce} \sum_{mce} (M_m \times C_c \times E_e) \\ 
& + \beta_{15tcem} \sum_{tcem} (T_t \times C_c \times E_e \times M_m) \\ 
& + \beta_{16c} \text{Comprehension}_{ic} + \gamma \mathbf{Z}_i + \epsilon_{itce}
\end{aligned} 
\quad (H1) $$

The corresponding regression results are presented in Table H1 and show that there are no statistically significant treatment differences among those who are immobile, and some treatment differences among those who are socially mobile. As such, as is consistent with the body of existing work (specifically, Gangadharan et al., 2021), any treatment differences between Luck and Effort come through the behavior of those who realize upward social mobility. In our setting however, only 15% of B-types, or 7.5% of the total sample realize upward mobility. We therefore face power constraints estimating treatment differences in this sample. Furthermore, 7.5% is not a large enough share of the sample to drive aggregate treatment effects. That said, there is sufficient power to note that in Column 6 (Table H1), individuals who are socially mobile due to luck are much more likely to give to those worse off than them, and this is consistent within each country.

Direct comparisons with Almäs et al. (2020) and Almäs et al. (2021) is not possible as in these papers, it is an independent third party who makes the redistribution decision over allocations between two unknown individuals, rather than a participant reallocating their own money. Nevertheless, consistent with this literature, our results also broadly supports the argument that individuals prefer greater equality in situations of realised luck, than in situations of realised efforts.
<table><caption>Table H1: Social Mobility</caption><thead><tr><th rowspan="3">Inequality</th><th colspan="10">Pro-social Payments</th><th colspan="4">Anti-social Payments</th></tr><tr><th colspan="2">Equal</th><th colspan="2">Disadvantageous</th><th colspan="2">Advantageous</th><th colspan="2">Equal</th><th colspan="2">Disadvantageous</th><th colspan="2">Advantageous</th></tr><tr><th>Immobile<br>(1)</th><th>Mobile<br>(2)</th><th>Immobile<br>(3)</th><th>Mobile<br>(4)</th><th>Immobile<br>(5)</th><th>Mobile<br>(6)</th><th>Immobile<br>(7)</th><th>Mobile<br>(8)</th><th>Immobile<br>(9)</th><th>Mobile<br>(10)</th><th>Immobile<br>(11)</th><th>Mobile<br>(12)</th></tr></thead><tbody><tr><td rowspan="2">Germany</td><td>Effort</td><td>0.22</td><td>0.40</td><td>0.32</td><td>0.30</td><td>0.48</td><td>0.45</td><td>0.09</td><td>0.33</td><td>0.17</td><td>0.42</td><td>0.04</td><td>0.24</td></tr><tr><td>Luck</td><td>0.09<br>(0.10)</td><td>-0.21***<br>(0.08)</td><td>0.07<br>(0.08)</td><td>0.01<br>(0.10)</td><td>0.20<br>(0.14)</td><td>0.28***<br>(0.07)</td><td>0.09<br>(0.09)</td><td>-0.27***<br>(0.07)</td><td>0.07<br>(0.07)</td><td>0.07<br>(0.11)</td><td>0.15*<br>(0.09)</td><td>-0.18***<br>(0.05)</td></tr><tr><td rowspan="2">India</td><td>Effort</td><td>0.22</td><td>0.31</td><td>0.32</td><td>0.28</td><td>0.23</td><td>0.24</td><td>0.17</td><td>0.06</td><td>0.23</td><td>0.14</td><td>0.27</td><td>0.11</td></tr><tr><td>Luck</td><td>0.01<br>(0.09)</td><td>-0.10<br>(0.11)</td><td>-0.02<br>(0.08)</td><td>-0.08<br>(0.13)</td><td>-0.01<br>(0.10)</td><td>0.21**<br>(0.10)</td><td>-0.02<br>(0.06)</td><td>0.07<br>(0.06)</td><td>-0.01<br>(0.06)</td><td>0.26**<br>(0.12)</td><td>-0.04<br>(0.08)</td><td>0.03<br>(0.05)</td></tr><tr><td rowspan="2">Indonesia</td><td>Effort</td><td>0.25</td><td>0.30</td><td>0.36</td><td>0.34</td><td>0.35</td><td>0.30</td><td>0.16</td><td>0.30</td><td>0.20</td><td>0.17</td><td>0.20</td><td>0.21</td></tr><tr><td>Luck</td><td>-0.02<br>(0.09)</td><td>0.02<br>(0.09)</td><td>-0.00<br>(0.07)</td><td>0.07<br>(0.13)</td><td>-0.03<br>(0.11)</td><td>0.21**<br>(0.09)</td><td>-0.08<br>(0.07)</td><td>-0.20**<br>(0.10)</td><td>0.01<br>(0.06)</td><td>-0.01<br>(0.11)</td><td>-0.03<br>(0.10)</td><td>-0.12*<br>(0.06)</td></tr><tr><td rowspan="2">USA</td><td>Effort</td><td>0.32</td><td>0.55</td><td>0.42</td><td>0.44</td><td>0.58</td><td>0.43</td><td>0.14</td><td>0.03</td><td>0.19</td><td>0.23</td><td>0.13</td><td>0.10</td></tr><tr><td>Luck</td><td>0.10<br>(0.09)</td><td>-0.11<br>(0.11)</td><td>0.04<br>(0.08)</td><td>0.03<br>(0.15)</td><td>0.03<br>(0.13)</td><td>0.28***<br>(0.09)</td><td>-0.11*<br>(0.06)</td><td>0.04<br>(0.05)</td><td>0.02<br>(0.07)</td><td>0.12<br>(0.13)</td><td>-0.04<br>(0.08)</td><td>0.01<br>(0.05)</td></tr></tbody></table>

Notes: Part 2 data used. Difference estimates presented. The *Effort* treatment is the baseline group, and so the coefficient on *Effort* is the frequency of payment within a cell, while the coefficient on *Luck* is the difference between luck and effort. Significance levels \*\*\*p < 0.01, \*\*p < 0.05, \*p < 0.1 refer to the test of equality between the *Effort* and *Luck* treatments for a given country and inequality level.
# I Replication on the Intensive Margin

In this section, we replicate all tables to date, both in the main body of the paper, and the additional tables in the appendix. In so doing, we show that there is no impact on private transfers on the intensive margin.

<table><caption>Table I1: Choices by Country and Treatment. Part 1.</caption><thead><tr><th rowspan="2"></th><th colspan="2">Germany</th><th colspan="2">India</th><th colspan="2">Indonesia</th><th colspan="2">USA</th></tr><tr><th>Pro (1)</th><th>Anti (2)</th><th>Pro (3)</th><th>Anti (4)</th><th>Pro (5)</th><th>Anti (6)</th><th>Pro (7)</th><th>Anti (8)</th></tr></thead><tbody><tr><td>Anarchy</td><td>3.70<br>(1.51)</td><td>-3.64<br>(1.56)</td><td>3.39<br>(1.42)</td><td>-3.18<br>(1.60)</td><td>3.10<br>(1.48)</td><td>-3.27<br>(1.61)</td><td>3.34<br>(1.43)</td><td>-3.56<br>(1.59)</td></tr><tr><td>Tax</td><td>3.55<br>(1.50)</td><td>-3.27<br>(1.47)</td><td>3.39<br>(1.41)</td><td>-3.56<br>(1.48)</td><td>3.35<br>(1.52)</td><td>-3.33<br>(1.56)</td><td>3.36<br>(1.48)</td><td>-3.35<br>(1.60)</td></tr><tr><td>UBI</td><td>3.63<br>(1.54)</td><td>-3.30<br>(1.63)</td><td>3.39<br>(1.45)</td><td>-3.56<br>(1.49)</td><td>3.06<br>(1.53)</td><td>-3.12<br>(1.58)</td><td>3.58<br>(1.42)</td><td>-3.59<br>(1.56)</td></tr><tr><td>Effort</td><td>3.74<br>(1.49)</td><td>-3.29<br>(1.56)</td><td>3.23<br>(1.52)</td><td>-3.38<br>(1.65)</td><td>3.42<br>(1.48)</td><td>-3.80<br>(1.55)</td><td>3.65<br>(1.33)</td><td>-3.48<br>(1.55)</td></tr><tr><td>Luck</td><td>3.68<br>(1.53)</td><td>-3.42<br>(1.58)</td><td>3.36<br>(1.39)</td><td>-3.36<br>(1.57)</td><td>2.95<br>(1.47)</td><td>-3.41<br>(1.57)</td><td>3.58<br>(1.43)</td><td>-3.31<br>(1.61)</td></tr></tbody></table>

**Notes:** Mean pro- (anti-) social transfer, conditional on making a pro- (anti-) social transfer by country and treatment, standard deviations in parentheses. 13,699 observations. Choices from Part 1 only.
<table><caption>Table I2: Treatment Effects. Intensive Margin.</caption><thead><tr><th rowspan="2">Treatment</th><th colspan="3">Pro-Social Payments</th><th colspan="3">Anti-Social Payments</th></tr><tr><th>Equal<br>(1)</th><th>Disadvantageous<br>(2)</th><th>Advantageous<br>(3)</th><th>Equal<br>(4)</th><th>Disadvantageous<br>(5)</th><th>Advantageous<br>(6)</th></tr></thead><tbody><tr><td colspan="7"><strong>Panel A: Germany</strong></td></tr><tr><td>Anarchy</td><td>2.91</td><td>3.25</td><td>3.65</td><td>3.31</td><td>3.36</td><td>2.99</td></tr><tr><td>Tax</td><td>-0.11<br>(0.34)</td><td>-0.41<br>(0.26)</td><td>0.10<br>(0.17)</td><td>-0.35<br>(0.65)</td><td>-0.50**<br>(0.22)</td><td>0.10<br>(0.42)</td></tr><tr><td>UBI</td><td>0.19<br>(0.31)</td><td>0.25<br>(0.28)</td><td>-0.02<br>(0.17)</td><td>-0.73<br>(0.76)</td><td>-0.22<br>(0.26)</td><td>-0.35<br>(0.40)</td></tr><tr><td>Effort</td><td>0.26<br>(0.33)</td><td>-0.06<br>(0.28)</td><td>0.22<br>(0.17)</td><td>-1.46**<br>(0.62)</td><td>-0.15<br>(0.25)</td><td>-0.36<br>(0.39)</td></tr><tr><td>Luck</td><td>-0.19<br>(0.33)</td><td>-0.02<br>(0.29)</td><td>0.16<br>(0.16)</td><td>-0.73<br>(0.66)</td><td>-0.17<br>(0.24)</td><td>-0.05<br>(0.37)</td></tr><tr><td colspan="7"><strong>Panel B: India</strong></td></tr><tr><td>Anarchy</td><td>2.76</td><td>2.96</td><td>3.29</td><td>3.03</td><td>3.32</td><td>2.60</td></tr><tr><td>Tax</td><td>0.31<br>(0.26)</td><td>0.14<br>(0.22)</td><td>-0.41**<br>(0.19)</td><td>0.17<br>(0.55)</td><td>0.36<br>(0.25)</td><td>0.76**<br>(0.30)</td></tr><tr><td>UBI</td><td>0.11<br>(0.28)</td><td>-0.07<br>(0.23)</td><td>-0.22<br>(0.20)</td><td>0.19<br>(0.56)</td><td>0.25<br>(0.26)</td><td>0.99***<br>(0.33)</td></tr><tr><td>Effort</td><td>-0.31<br>(0.26)</td><td>-0.27<br>(0.22)</td><td>-0.30<br>(0.21)</td><td>0.33<br>(0.57)</td><td>0.09<br>(0.27)</td><td>0.51<br>(0.34)</td></tr><tr><td>Luck</td><td>0.31<br>(0.26)</td><td>-0.10<br>(0.21)</td><td>-0.27<br>(0.19)</td><td>0.15<br>(0.55)</td><td>-0.02<br>(0.28)</td><td>0.51<br>(0.31)</td></tr><tr><td colspan="7"><strong>Panel C: Indonesia</strong></td></tr><tr><td>Anarchy</td><td>2.85</td><td>2.75</td><td>3.08</td><td>3.06</td><td>3.34</td><td>2.80</td></tr><tr><td>Tax</td><td>0.00<br>(0.35)</td><td>0.45*<br>(0.24)</td><td>0.23<br>(0.20)</td><td>0.20<br>(0.43)</td><td>-0.08<br>(0.26)</td><td>0.12<br>(0.28)</td></tr><tr><td>UBI</td><td>-0.35<br>(0.32)</td><td>0.06<br>(0.26)</td><td>-0.04<br>(0.23)</td><td>-0.76**<br>(0.38)</td><td>-0.26<br>(0.25)</td><td>0.05<br>(0.28)</td></tr><tr><td>Effort</td><td>0.20<br>(0.34)</td><td>0.34<br>(0.27)</td><td>0.31<br>(0.20)</td><td>0.69*<br>(0.38)</td><td>0.30<br>(0.27)</td><td>0.60**<br>(0.29)</td></tr><tr><td>Luck</td><td>-0.50<br>(0.34)</td><td>-0.03<br>(0.22)</td><td>-0.10<br>(0.21)</td><td>-0.16<br>(0.38)</td><td>0.22<br>(0.26)</td><td>-0.07<br>(0.25)</td></tr><tr><td colspan="7"><strong>Panel D: USA</strong></td></tr><tr><td>Anarchy</td><td>2.81</td><td>2.64</td><td>3.49</td><td>2.46</td><td>3.76</td><td>2.64</td></tr><tr><td>Tax</td><td>-0.20<br>(0.28)</td><td>0.26<br>(0.24)</td><td>-0.06<br>(0.19)</td><td>0.08<br>(0.55)</td><td>-0.48*<br>(0.25)</td><td>0.05<br>(0.37)</td></tr><tr><td>UBI</td><td>0.38<br>(0.27)</td><td>0.55**<br>(0.22)</td><td>0.04<br>(0.19)</td><td>0.12<br>(0.54)</td><td>-0.14<br>(0.24)</td><td>0.57<br>(0.42)</td></tr><tr><td>Effort</td><td>0.25<br>(0.26)</td><td>0.58***<br>(0.21)</td><td>0.16<br>(0.18)</td><td>0.97<br>(0.63)</td><td>-0.28<br>(0.26)</td><td>0.34<br>(0.33)</td></tr><tr><td>Luck</td><td>0.20<br>(0.26)</td><td>0.62***<br>(0.21)</td><td>0.10<br>(0.20)</td><td>-0.31<br>(0.46)</td><td>-0.37<br>(0.27)</td><td>-0.11<br>(0.34)</td></tr></tbody></table>

Notes: Each panel shows difference estimates on the intensive margin of payments from Equation 1. Specifically, the *Anarchy* row shows the mean value of the private transfers, conditional on there being a non-zero private transfer, when there is no centralized redistribution. Controls included for income strata, gender, comprehension, reading time and question order. Significance levels \*\*\* *p* < 0.01, \*\* *p* < 0.05, \* *p* < 0.1 test equality between treatments with centralized redistribution and *Anarchy* for a given country and level of equality. Regression run on 23,646 observations with 3,941 clusters, pooled across treatments and countries. Part 1 data used.
<table><caption>Table I3: Country Differences in Payments – Intensive Margin</caption><thead><tr><th></th><th>(1)</th><th>(2)</th><th>(3)</th><th>(4)</th><th>(5)</th><th>(6)</th><th>(7)</th></tr></thead><tbody><tr><td colspan="8"><strong>Pro Social</strong></td></tr><tr><td>India</td><td>-0.29***<br>(0.08)</td><td>-0.06<br>(0.10)</td><td>-0.29***<br>(0.08)</td><td>-0.31***<br>(0.08)</td><td>-0.29***<br>(0.08)</td><td>-0.41***<br>(0.09)</td><td>0.01<br>(0.11)</td></tr><tr><td>Indonesia</td><td>-0.48***<br>(0.07)</td><td>-0.24**<br>(0.09)</td><td>-0.49***<br>(0.08)</td><td>-0.49***<br>(0.08)</td><td>-0.48***<br>(0.07)</td><td>-0.51***<br>(0.10)</td><td>-0.19*<br>(0.11)</td></tr><tr><td>Germany</td><td>-0.15**<br>(0.07)</td><td>0.00<br>(0.10)</td><td>-0.16**<br>(0.07)</td><td>-0.19**<br>(0.07)</td><td>-0.15**<br>(0.07)</td><td>-0.21**<br>(0.09)</td><td>-0.03<br>(0.11)</td></tr><tr><td>Clusters</td><td>2,738</td><td>2,738</td><td>2,738</td><td>2,738</td><td>2,738</td><td>2,738</td><td>2,738</td></tr><tr><td>Observations</td><td>9,323</td><td>9,323</td><td>9,323</td><td>9,323</td><td>9,323</td><td>9,323</td><td>9,323</td></tr><tr><td>R-squared</td><td>0.03</td><td>0.04</td><td>0.03</td><td>0.03</td><td>0.03</td><td>0.05</td><td>0.06</td></tr><tr><td colspan="8"><strong>Anti Social</strong></td></tr><tr><td>India</td><td>0.09<br>(0.10)</td><td>0.13<br>(0.11)</td><td>0.01<br>(0.11)</td><td>0.09<br>(0.11)</td><td>0.09<br>(0.10)</td><td>0.12<br>(0.15)</td><td>0.12<br>(0.13)</td></tr><tr><td>Indonesia</td><td>0.07<br>(0.09)</td><td>0.09<br>(0.10)</td><td>0.01<br>(0.10)</td><td>0.09<br>(0.10)</td><td>0.07<br>(0.09)</td><td>0.10<br>(0.14)</td><td>0.15<br>(0.12)</td></tr><tr><td>Germany</td><td>0.07<br>(0.10)</td><td>0.15<br>(0.11)</td><td>-0.05<br>(0.11)</td><td>-0.02<br>(0.11)</td><td>0.07<br>(0.10)</td><td>0.27**<br>(0.13)</td><td>-0.12<br>(0.13)</td></tr><tr><td>Clusters</td><td>1,844</td><td>1,844</td><td>1,844</td><td>1,844</td><td>1,844</td><td>1,844</td><td>1,844</td></tr><tr><td>Observations</td><td>4,376</td><td>4,376</td><td>4,376</td><td>4,376</td><td>4,376</td><td>4,376</td><td>4,376</td></tr><tr><td>R-squared</td><td>0.04</td><td>0.04</td><td>0.07</td><td>0.06</td><td>0.04</td><td>0.09</td><td>0.11</td></tr><tr><td>Ad. Ineq. Averse</td><td>✗</td><td>✓</td><td>✗</td><td>✗</td><td>✗</td><td>✗</td><td>✓</td></tr><tr><td>Disad. Ineq. Averse</td><td>✗</td><td>✗</td><td>✓</td><td>✗</td><td>✗</td><td>✗</td><td>✓</td></tr><tr><td>Inequality Averse</td><td>✗</td><td>✗</td><td>✗</td><td>✓</td><td>✗</td><td>✗</td><td>✓</td></tr><tr><td>Income Maximiser</td><td>✗</td><td>✗</td><td>✗</td><td>✗</td><td>✓</td><td>✗</td><td>✓</td></tr><tr><td>Other</td><td>✗</td><td>✗</td><td>✗</td><td>✗</td><td>✗</td><td>✓</td><td>✗</td></tr></tbody></table>

Notes: Germany is the omitted country. Controls included for gender, comprehension and question order. An *advantageous* (*disadvantageous*) inequality averse individual always pays to reduce advantageous (*disadvantageous*) inequality and is not disadvantageous (*advantageous*) inequality averse. *Inequality averse* individuals are both advantageous and disadvantageous inequality averse. *Income maximisers* maximise their own payment, and never make a payment to the matched participant. *Other types* are none of the above. Types are mutually exclusive. Pooled data from Part 1 decisions used. Regressions also include Type dummies and interactions of the Country dummies with the Type dummies. In column 7, Other is the reference category. As previously, we exclude payments of 0, so that we consider country differences in payments, conditional on a non-zero payment occurring. Standard errors in parentheses. Significance levels: \*\*\*p < 0.01, \*\*p < 0.05, \*p < 0.1.
<table><caption>Table 14: A:B Types. Equality FE. Pro-social Payments. Intensive Margin.</caption><thead><tr><th rowspan="2"></th><th rowspan="2">Equal</th><th colspan="2">A:A</th><th colspan="2">A:B</th><th colspan="2">B:A</th><th colspan="2">B:B</th></tr><tr><th>Disadvantageous</th><th>Advantageous</th><th>Equal</th><th>Disadvantageous</th><th>Advantageous</th><th>Equal</th><th>Disadvantageous</th><th>Advantageous</th></tr><tr><th></th><th>(1)</th><th>(2)</th><th>(3)</th><th>(4)</th><th>(5)</th><th>(6)</th><th>(7)</th><th>(8)</th><th>(9)</th><th>(10)</th><th>(11)</th><th>(12)</th></tr></thead><tbody><tr><td colspan="13"><strong>Germany</strong></td></tr><tr><td>Anarchy</td><td>-0.23</td><td>-0.24</td><td>0.20</td><td>-</td><td>-</td><td>0.73</td><td>-</td><td>-0.19</td><td>-</td><td>0.30</td><td>0.36</td><td>0.69</td></tr><tr><td>Tax</td><td>(0.06)</td><td>0.05</td><td>-0.02</td><td>-</td><td>-</td><td>-0.03</td><td>-</td><td>0.04</td><td>-</td><td>-0.05</td><td>0.08</td><td>0.06</td></tr><tr><td>UBI</td><td>0.03</td><td>0.11</td><td>0.07</td><td>-</td><td>-</td><td>0.05</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.07)</td><td>(0.09)</td><td>(0.08)</td></tr><tr><td>Effort</td><td>-0.09*</td><td>0.01</td><td>(0.07)</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.06)</td><td>-</td><td>0.01</td><td>-0.02</td><td>-0.04</td></tr><tr><td>Luck</td><td>(0.05)</td><td>(0.07)</td><td>-0.01</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>0.06</td><td>-</td><td>(0.07)</td><td>(0.08)</td><td>(0.08)</td></tr><tr><td></td><td>0.03</td><td>0.07</td><td>(0.07)</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.06)</td><td>-</td><td>0.06</td><td>0.06</td><td>0.09</td></tr><tr><td></td><td>(0.06)</td><td>(0.07)</td><td>0.08</td><td>-</td><td>-</td><td>0.03</td><td>-</td><td>-0.03</td><td>-</td><td>-0.04</td><td>(0.09)</td><td>(0.08)</td></tr><tr><td></td><td></td><td></td><td>(0.07)</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.07)</td><td>(0.08)</td><td>(0.08)</td></tr><tr><td colspan="13"><strong>India</strong></td></tr><tr><td>Anarchy</td><td>-0.27</td><td>-0.24</td><td>-0.18</td><td>-</td><td>-</td><td>0.28</td><td>-</td><td>-0.15</td><td>-</td><td>0.24</td><td>0.30</td><td>0.38</td></tr><tr><td>Tax</td><td>(0.06)</td><td>0.01</td><td>-0.00</td><td>-</td><td>-</td><td>-0.00</td><td>-</td><td>-0.08</td><td>-</td><td>-0.14**</td><td>-0.03</td><td>-0.10</td></tr><tr><td>UBI</td><td>-0.13**</td><td>-0.02</td><td>-0.07</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.07)</td><td>(0.09)</td><td>(0.09)</td></tr><tr><td>Effort</td><td>(0.06)</td><td>(0.08)</td><td>(0.08)</td><td>-</td><td>-</td><td>-0.03</td><td>-</td><td>-0.07</td><td>-</td><td>-0.14**</td><td>0.02</td><td>-0.08</td></tr><tr><td>Luck</td><td>0.01</td><td>-0.05</td><td>0.13*</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.07)</td><td>(0.09)</td><td>(0.09)</td></tr><tr><td></td><td>(0.07)</td><td>(0.08)</td><td>(0.07)</td><td>-</td><td>-</td><td>0.06</td><td>-</td><td>-0.05</td><td>-</td><td>-0.13*</td><td>-0.03</td><td>-0.12</td></tr><tr><td></td><td>(0.05)</td><td>0.03</td><td>0.05</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.07)</td><td>(0.08)</td><td>(0.09)</td></tr><tr><td></td><td>(0.06)</td><td>(0.08)</td><td>(0.08)</td><td>-</td><td>-</td><td>0.07</td><td>-</td><td>-0.09</td><td>-</td><td>-0.14**</td><td>-0.08</td><td>-0.09</td></tr><tr><td></td><td></td><td></td><td></td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.07)</td><td>(0.08)</td><td>(0.09)</td></tr><tr><td colspan="13"><strong>Indonesia</strong></td></tr><tr><td>Anarchy</td><td>-0.35</td><td>-0.16</td><td>-0.04</td><td>-</td><td>-</td><td>0.38</td><td>-</td><td>-0.21</td><td>-</td><td>0.22</td><td>0.33</td><td>0.41</td></tr><tr><td>Tax</td><td>0.02</td><td>-0.11</td><td>-0.07</td><td>-</td><td>-</td><td>-0.02</td><td>-</td><td>0.01</td><td>-</td><td>-0.05</td><td>-0.00</td><td>-0.07</td></tr><tr><td>UBI</td><td>(0.05)</td><td>(0.08)</td><td>(0.08)</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.06)</td><td>(0.08)</td><td>(0.08)</td></tr><tr><td>Effort</td><td>(0.05)</td><td>(0.08)</td><td>(0.08)</td><td>-</td><td>-</td><td>0.05</td><td>-</td><td>-0.05</td><td>-</td><td>-0.04</td><td>-0.05</td><td>-0.18**</td></tr><tr><td>Luck</td><td>0.07</td><td>-0.06</td><td>-0.02</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.06)</td><td>(0.08)</td><td>(0.07)</td></tr><tr><td></td><td>(0.05)</td><td>(0.07)</td><td>(0.08)</td><td>-</td><td>-</td><td>0.02</td><td>-</td><td>-0.01</td><td>-</td><td>-0.06</td><td>-0.12</td><td>-0.08</td></tr><tr><td></td><td>0.04</td><td>-0.06</td><td>-0.11</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.06)</td><td>(0.08)</td><td>(0.08)</td></tr><tr><td></td><td>(0.05)</td><td>(0.07)</td><td>(0.08)</td><td>-</td><td>-</td><td>-0.02</td><td>-</td><td>0.02</td><td>-</td><td>-0.05</td><td>-0.03</td><td>-0.04</td></tr><tr><td></td><td></td><td></td><td></td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.06)</td><td>(0.07)</td><td>(0.08)</td></tr><tr><td colspan="13"><strong>USA</strong></td></tr><tr><td>Anarchy</td><td>-0.13</td><td>-0.11</td><td>0.22</td><td>-</td><td>-</td><td>0.66</td><td>-</td><td>-0.12</td><td>-</td><td>0.29</td><td>0.34</td><td>0.51</td></tr><tr><td>Tax</td><td>0.06</td><td>0.03</td><td>-0.09</td><td>-</td><td>-</td><td>-0.04</td><td>-</td><td>0.00</td><td>-</td><td>-0.02</td><td>0.02</td><td>0.02</td></tr><tr><td>UBI</td><td>-0.01</td><td>0.01</td><td>-0.14*</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.06)</td><td>(0.07)</td><td>(0.09)</td></tr><tr><td>Effort</td><td>(0.06)</td><td>(0.07)</td><td>(0.08)</td><td>-</td><td>-</td><td>-0.06</td><td>-</td><td>0.10*</td><td>-</td><td>0.05</td><td>0.20**</td><td>0.24***</td></tr><tr><td>Luck</td><td>0.07</td><td>0.10</td><td>0.01</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.06)</td><td>(0.08)</td><td>(0.09)</td></tr><tr><td></td><td>(0.07)</td><td>(0.08)</td><td>(0.08)</td><td>-</td><td>-</td><td>0.06</td><td>-</td><td>0.03</td><td>-</td><td>0.08</td><td>0.03</td><td>0.11</td></tr><tr><td></td><td>0.07</td><td>0.06</td><td>0.04</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.06)</td><td>(0.07)</td><td>(0.09)</td></tr><tr><td></td><td>(0.06)</td><td>(0.07)</td><td>(0.08)</td><td>-</td><td>-</td><td>0.02</td><td>-</td><td>0.12**</td><td>-</td><td>0.12*</td><td>0.12</td><td>0.20**</td></tr><tr><td></td><td></td><td></td><td></td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.07)</td><td>(0.08)</td><td>(0.09)</td></tr></tbody></table>

Notes: Part 1 data used. Difference estimates presented. The Anarchy treatment is the baseline group. We interact type, type fixed effects (A,A, A,B, B:A, B:B) with inequality level fixed effects (equal, disadvantageous and advantageous). As such, the significance levels **p < 0.01; *p < 0.05; *p < 0.1 refer to the test of equality between treatments with centralized distribution and the Anarchy treatment for that country, for a given level of inequality and type, type fixed effects. Controls included for gender, income, comprehension and time taken. Note that some combinations of type and inequality fixed effect are omitted (e.g. all Type-As have strictly more income than all Type-Bs, so will never have perfect equality of income). Regressions run on 9523 observations and 2738 clusters.
<table><caption>Table 15: A:B Types. Equality FE. Anti-social Payments. Intensive Margin.</caption><thead><tr><th rowspan="2"></th><th rowspan="2">Equal</th><th colspan="2">A:A</th><th colspan="2">A:B</th><th rowspan="2">Advantageous</th><th rowspan="2">Equal</th><th rowspan="2">Disadvantageous</th><th rowspan="2">Advantageous</th><th rowspan="2">Equal</th><th rowspan="2">Disadvantageous</th><th rowspan="2">Advantageous</th><th colspan="2">B:B</th></tr><tr><th>(1)</th><th>(2)</th><th>(3)</th><th>(4)</th><th>(5)</th><th>(6)</th><th>(7)</th><th>(8)</th><th>(9)</th><th>(10)</th><th>(11)</th><th>(12)</th></tr></thead><tbody><tr><td colspan="15" style="text-align: left; font-weight: bold;">Germany</td></tr><tr><td>Anarchy</td><td>-0.27</td><td>-0.03</td><td>-0.18</td><td>-</td><td>-</td><td>0.05</td><td>-</td><td>-</td><td>0.05</td><td>-</td><td>-0.02</td><td>0.20</td><td>0.05</td></tr><tr><td>Tax</td><td>0.02</td><td>0.03</td><td>-0.05</td><td>-</td><td>-</td><td>-0.03</td><td>-</td><td>-</td><td>-0.10*</td><td>-</td><td>0.05</td><td>-0.04</td><td>-0.06</td></tr><tr><td>UBI</td><td>(0.04)</td><td>(0.08)</td><td>(0.04)</td><td>-0.15***</td><td>-</td><td>(0.03)</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.04)</td><td>(0.07)</td><td>(0.05)</td></tr><tr><td>Effort</td><td>(0.03)</td><td>(0.07)</td><td>(0.04)</td><td>-0.03</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-0.14**</td><td>-</td><td>-0.02</td><td>0.02</td><td>-0.05</td></tr><tr><td>Luck</td><td>0.01</td><td>0.05</td><td>-0.03</td><td>-</td><td>-</td><td>(0.03)</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.03)</td><td>(0.08)</td><td>(0.05)</td></tr><tr><td></td><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td><td>-0.03</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-0.11**</td><td>-</td><td>0.03</td><td>-0.03</td><td>-0.09*</td></tr><tr><td></td><td>0.05</td><td>-0.03</td><td>-0.07</td><td>-</td><td>-</td><td>(0.04)</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.04)</td><td>(0.07)</td><td>(0.05)</td></tr><tr><td></td><td>(0.04)</td><td>(0.07)</td><td>(0.05)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>0.02</td><td>-</td><td>0.05</td><td>0.01</td><td>0.01</td></tr><tr><td colspan="15" style="text-align: left; font-weight: bold;">India</td></tr><tr><td>Anarchy</td><td>-0.17</td><td>-0.01</td><td>-0.08</td><td>-</td><td>-</td><td>0.20</td><td>-</td><td>-</td><td>-0.02</td><td>-</td><td>0.09</td><td>0.24</td><td>0.23</td></tr><tr><td>Tax</td><td>0.10**</td><td>0.09</td><td>-0.01</td><td>-</td><td>-</td><td>0.06</td><td>-</td><td>0.04</td><td>-</td><td>0.07*</td><td>0.00</td><td>0.01</td><td>0.01</td></tr><tr><td>UBI</td><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.04)</td><td>(0.07)</td><td>(0.06)</td></tr><tr><td>Effort</td><td>0.13***</td><td>0.01</td><td>0.01</td><td>-</td><td>-</td><td>0.03</td><td>-</td><td>-</td><td>-0.03</td><td>-</td><td>0.07</td><td>-0.02</td><td>-0.08</td></tr><tr><td></td><td>(0.04)</td><td>(0.07)</td><td>(0.06)</td><td>-</td><td>-</td><td>(0.04)</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.04)</td><td>(0.07)</td><td>(0.06)</td></tr><tr><td></td><td>0.09**</td><td>0.04</td><td>0.04</td><td>-</td><td>-</td><td>0.02</td><td>-</td><td>-</td><td>0.02</td><td>-</td><td>0.10**</td><td>0.00</td><td>0.05</td></tr><tr><td>Luck</td><td>(0.04)</td><td>(0.07)</td><td>(0.06)</td><td>-</td><td>-</td><td>(0.04)</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>(0.06)</td><td>(0.07)</td></tr><tr><td></td><td>0.11**</td><td>0.07</td><td>0.04</td><td>-</td><td>-</td><td>0.02</td><td>-</td><td>0.04</td><td>-</td><td>0.05</td><td>0.06</td><td>0.00</td><td>0.00</td></tr><tr><td></td><td>(0.05)</td><td>(0.08)</td><td>(0.06)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.04)</td><td>(0.07)</td><td>(0.07)</td></tr><tr><td colspan="15" style="text-align: left; font-weight: bold;">Indonesia</td></tr><tr><td>Anarchy</td><td>-0.13</td><td>-0.03</td><td>-0.15</td><td>-</td><td>-</td><td>0.20</td><td>-</td><td>0.06</td><td>-</td><td>-</td><td>0.16</td><td>0.29</td><td>0.26</td></tr><tr><td>Tax</td><td>-0.01</td><td>0.15**</td><td>0.10*</td><td>-</td><td>-</td><td>0.01</td><td>-</td><td>-</td><td>-0.01</td><td>-</td><td>-0.02</td><td>0.00</td><td>-0.07</td></tr><tr><td>UBI</td><td>(0.04)</td><td>(0.07)</td><td>(0.05)</td><td>-</td><td>-</td><td>(0.04)</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>(0.07)</td><td>(0.06)</td></tr><tr><td>Effort</td><td>0.04</td><td>0.11</td><td>0.09*</td><td>-</td><td>-</td><td>0.01</td><td>-</td><td>-</td><td>-0.02</td><td>-</td><td>-0.02</td><td>0.03</td><td>-0.02</td></tr><tr><td></td><td>(0.05)</td><td>(0.07)</td><td>(0.05)</td><td>-</td><td>-</td><td>(0.04)</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>(0.07)</td><td>(0.06)</td></tr><tr><td></td><td>0.03</td><td>0.10</td><td>0.07</td><td>-</td><td>-</td><td>0.03</td><td>-</td><td>-</td><td>0.01</td><td>-</td><td>0.04</td><td>0.15*</td><td>-0.11*</td></tr><tr><td>Luck</td><td>(0.05)</td><td>(0.07)</td><td>(0.05)</td><td>-</td><td>-</td><td>(0.04)</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>(0.08)</td><td>(0.06)</td></tr><tr><td></td><td>0.01</td><td>0.14*</td><td>0.16***</td><td>-</td><td>-</td><td>0.01</td><td>-</td><td>-</td><td>-0.04</td><td>-</td><td>0.06</td><td>0.01</td><td>-0.02</td></tr><tr><td></td><td>(0.05)</td><td>(0.07)</td><td>(0.06)</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.05)</td><td>(0.07)</td><td>(0.06)</td></tr><tr><td colspan="15" style="text-align: left; font-weight: bold;">USA</td></tr><tr><td>Anarchy</td><td>-0.14</td><td>0.06</td><td>-0.17</td><td>-</td><td>-</td><td>0.13</td><td>-</td><td>-0.02</td><td>-</td><td>-</td><td>0.07</td><td>0.27</td><td>0.14</td></tr><tr><td>Tax</td><td>-0.08**</td><td>0.04</td><td>-0.02</td><td>-</td><td>-</td><td>-0.04</td><td>-</td><td>0.02</td><td>-</td><td>-</td><td>0.02</td><td>0.01</td><td>-0.08*</td></tr><tr><td>UBI</td><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td><td>-0.03</td><td>-</td><td>(0.04)</td><td>-</td><td>(0.05)</td><td>-</td><td>-</td><td>(0.04)</td><td>(0.07)</td><td>(0.05)</td></tr><tr><td>Effort</td><td>-0.07</td><td>-0.02</td><td>-0.03</td><td>-</td><td>-</td><td>-0.07**</td><td>-</td><td>-</td><td>-0.00</td><td>-</td><td>0.03</td><td>-0.04</td><td>-0.06</td></tr><tr><td></td><td>(0.04)</td><td>(0.08)</td><td>(0.04)</td><td>-</td><td>-</td><td>(0.04)</td><td>-</td><td>-</td><td>(0.06)</td><td>-</td><td>(0.04)</td><td>(0.07)</td><td>(0.05)</td></tr><tr><td></td><td>-0.05</td><td>-0.05</td><td>-0.00</td><td>-</td><td>-</td><td>-0.04</td><td>-</td><td>-</td><td>0.03</td><td>-</td><td>-0.03</td><td>-0.07</td><td>-0.01</td></tr><tr><td>Luck</td><td>(0.04)</td><td>(0.08)</td><td>(0.05)</td><td>-</td><td>-</td><td>(0.04)</td><td>-</td><td>-</td><td>(0.05)</td><td>-</td><td>(0.03)</td><td>(0.06)</td><td>(0.06)</td></tr><tr><td></td><td>-0.04</td><td>-0.10</td><td>-0.03</td><td>-</td><td>-</td><td>-0.06*</td><td>-</td><td>0.02</td><td>-</td><td>-</td><td>0.01</td><td>-0.02</td><td>-0.02</td></tr><tr><td></td><td>(0.04)</td><td>(0.07)</td><td>(0.05)</td><td>-</td><td>-</td><td>(0.04)</td><td>-</td><td>(0.06)</td><td>-</td><td>-</td><td>(0.04)</td><td>(0.07)</td><td>(0.06)</td></tr></tbody></table>

Notes: Part 1 data used. Difference estimates presented. The Anarchy treatment is the baseline group. We interact type, diad fixed effects (A:A, A:B, B:A, B:B) with inequality level fixed effects (equal, disadvantageous and advantageous). As such, the significance levels **p < 0.01; *p < 0.05, p < 0.1 refer to the test of equality between treatments with centralized distribution and the Anarchy treatment for that country, for a given level of inequality and type diad. Controls included for gender, income, comprehension and time taken. Note that some combinations of type and inequality fixed effect are omitted (e.g. all Type-As have strictly more income than all Type-Bs so will never have perfect equality of income). Regressions run on 4376 observations and 1844 clusters.
<table><caption>Table I6: A:B Types. Treatment Effects. Intensive Margin.</caption><thead><tr><th rowspan="2"></th><th colspan="4">Pro-social Payments</th><th colspan="4">Anti-social Payments</th></tr><tr><th>A:A</th><th>A:B</th><th>B:A</th><th>B:B</th><th>A:A</th><th>A:B</th><th>B:A</th><th>B:B</th></tr><tr><th></th><th>(1)</th><th>(2)</th><th>(3)</th><th>(4)</th><th>(5)</th><th>(6)</th><th>(7)</th><th>(8)</th></tr></thead><tbody><tr><td colspan="9"><em>Germany</em></td></tr><tr><td>Anarchy</td><td>-0.10</td><td>0.70</td><td>-0.20</td><td>0.43</td><td>-0.16</td><td>0.06</td><td>0.05</td><td>0.09</td></tr><tr><td>Tax</td><td>0.01<br>(0.05)</td><td>-0.03<br>(0.05)</td><td>0.04<br>(0.05)</td><td>0.02<br>(0.05)</td><td>-0.01<br>(0.04)</td><td>-0.03<br>(0.03)</td><td>-0.10*<br>(0.06)</td><td>-0.01<br>(0.03)</td></tr><tr><td>UBI</td><td>0.08<br>(0.05)</td><td>0.01<br>(0.05)</td><td>0.10*<br>(0.06)</td><td>-0.03<br>(0.05)</td><td>-0.07**<br>(0.03)</td><td>-0.03<br>(0.03)</td><td>-0.14**<br>(0.06)</td><td>-0.01<br>(0.03)</td></tr><tr><td>Effort</td><td>-0.02<br>(0.05)</td><td>-0.05<br>(0.06)</td><td>0.06<br>(0.06)</td><td>0.05<br>(0.05)</td><td>0.00<br>(0.04)</td><td>-0.00<br>(0.04)</td><td>-0.11**<br>(0.06)</td><td>-0.02<br>(0.03)</td></tr><tr><td>Luck</td><td>0.05<br>(0.05)</td><td>0.03<br>(0.05)</td><td>-0.03<br>(0.05)</td><td>-0.04<br>(0.05)</td><td>-0.01<br>(0.04)</td><td>-0.04<br>(0.03)</td><td>0.02<br>(0.06)</td><td>0.03<br>(0.04)</td></tr><tr><td colspan="9"><em>India</em></td></tr><tr><td>Anarchy</td><td>-0.23</td><td>0.26</td><td>-0.15</td><td>0.28</td><td>-0.09</td><td>0.22</td><td>-0.02</td><td>0.20</td></tr><tr><td>Tax</td><td>-0.03<br>(0.06)</td><td>-0.00<br>(0.06)</td><td>-0.08<br>(0.06)</td><td>-0.09<br>(0.06)</td><td>0.07*<br>(0.04)</td><td>0.06<br>(0.05)</td><td>0.05<br>(0.05)</td><td>0.03<br>(0.04)</td></tr><tr><td>UBI</td><td>-0.08<br>(0.05)</td><td>-0.03<br>(0.06)</td><td>-0.07<br>(0.06)</td><td>-0.07<br>(0.06)</td><td>0.05<br>(0.04)</td><td>0.03<br>(0.04)</td><td>-0.03<br>(0.05)</td><td>-0.02<br>(0.04)</td></tr><tr><td>Effort</td><td>0.03<br>(0.05)</td><td>0.06<br>(0.06)</td><td>-0.05<br>(0.06)</td><td>-0.09<br>(0.06)</td><td>0.06<br>(0.04)</td><td>0.02<br>(0.04)</td><td>0.02<br>(0.05)</td><td>0.05<br>(0.04)</td></tr><tr><td>Luck</td><td>0.00<br>(0.05)</td><td>0.07<br>(0.06)</td><td>-0.09<br>(0.06)</td><td>-0.10*<br>(0.06)</td><td>0.08**<br>(0.04)</td><td>0.02<br>(0.04)</td><td>0.04<br>(0.05)</td><td>0.04<br>(0.04)</td></tr><tr><td colspan="9"><em>Indonesia</em></td></tr><tr><td>Anarchy</td><td>-0.19</td><td>0.35</td><td>-0.21</td><td>0.30</td><td>-0.10</td><td>0.21</td><td>0.07</td><td>0.25</td></tr><tr><td>Tax</td><td>-0.05<br>(0.05)</td><td>-0.02<br>(0.06)</td><td>0.01<br>(0.05)</td><td>-0.04<br>(0.05)</td><td>0.07*<br>(0.04)</td><td>0.01<br>(0.04)</td><td>-0.01<br>(0.05)</td><td>-0.03<br>(0.04)</td></tr><tr><td>UBI</td><td>0.02<br>(0.05)</td><td>0.05<br>(0.06)</td><td>-0.05<br>(0.05)</td><td>-0.09*<br>(0.05)</td><td>0.07*<br>(0.04)</td><td>0.01<br>(0.04)</td><td>-0.02<br>(0.05)</td><td>-0.00<br>(0.04)</td></tr><tr><td>Effort</td><td>0.01<br>(0.05)</td><td>0.02<br>(0.05)</td><td>-0.01<br>(0.05)</td><td>-0.09*<br>(0.05)</td><td>0.06<br>(0.04)</td><td>0.03<br>(0.04)</td><td>0.01<br>(0.05)</td><td>0.03<br>(0.05)</td></tr><tr><td>Luck</td><td>-0.04<br>(0.05)</td><td>-0.02<br>(0.05)</td><td>0.02<br>(0.05)</td><td>-0.04<br>(0.05)</td><td>0.10***<br>(0.04)</td><td>0.01<br>(0.04)</td><td>-0.04<br>(0.05)</td><td>0.02<br>(0.04)</td></tr><tr><td colspan="9"><em>USA</em></td></tr><tr><td>Anarchy</td><td>-0.00</td><td>0.64</td><td>-0.13</td><td>0.36</td><td>-0.09</td><td>0.14</td><td>-0.02</td><td>0.17</td></tr><tr><td>Tax</td><td>0.00<br>(0.06)</td><td>-0.04<br>(0.06)</td><td>0.00<br>(0.05)</td><td>0.01<br>(0.05)</td><td>-0.03<br>(0.04)</td><td>-0.04<br>(0.04)</td><td>0.02<br>(0.05)</td><td>-0.01<br>(0.04)</td></tr><tr><td>UBI</td><td>-0.05<br>(0.05)</td><td>-0.06<br>(0.06)</td><td>0.11*<br>(0.06)</td><td>0.16***<br>(0.05)</td><td>-0.04<br>(0.03)</td><td>-0.07**<br>(0.03)</td><td>-0.00<br>(0.06)</td><td>-0.02<br>(0.04)</td></tr><tr><td>Effort</td><td>0.05<br>(0.06)</td><td>0.06<br>(0.06)</td><td>0.03<br>(0.05)</td><td>0.08<br>(0.05)</td><td>-0.03<br>(0.04)</td><td>-0.04<br>(0.04)</td><td>0.03<br>(0.05)</td><td>-0.04<br>(0.03)</td></tr><tr><td>Luck</td><td>0.05<br>(0.06)</td><td>0.02<br>(0.06)</td><td>0.13**<br>(0.06)</td><td>0.15**<br>(0.06)</td><td>-0.05<br>(0.04)</td><td>-0.06*<br>(0.04)</td><td>0.02<br>(0.06)</td><td>-0.01<br>(0.04)</td></tr></tbody></table>

**Notes:** Part 1 data used. Difference estimates presented. the *Anarchy* Treatment is the baseline group. Significance levels ***p < 0.01,**p < 0.05,*p < 0.1 refer to the test of equality between treatments with centralized distribution and the *Anarchy* Treatment for that country, for a given level of inequality. e.g., conditional on an anti-social payment being made, they are of smaller size in the Effort vis-a-vis Anarchy condition, in Germany, when a B-type is paired with an A-type.
<table><caption>Table 18: Full Inequality Specification. Anti-social Payments. Treatment Differences. Intensive Margin.</caption><thead><tr><th></th><th></th><th>-12.3%</th><th>-7.0%</th><th>-5.7%</th><th>-3.0%</th><th>-2.3%</th><th>-1.4%</th><th>-1.0%</th><th>-0.7%</th><th>-0.2%</th><th>0%</th><th>0.17%</th><th>0.4%</th><th>0.5%</th><th>0.6%</th><th>0.7%</th><th>0.75%</th><th>0.85%</th><th>0.88%</th><th>0.93%</th></tr><tr><th></th><th></th><th>(1)</th><th>(2)</th><th>(3)</th><th>(4)</th><th>(5)</th><th>(6)</th><th>(7)</th><th>(8)</th><th>(9)</th><th>(10)</th><th>(11)</th><th>(12)</th><th>(13)</th><th>(14)</th><th>(15)</th><th>(16)</th><th>(17)</th><th>(18)</th><th>(19)</th></tr></thead><tbody><tr><td colspan="15"><strong>Germany</strong></td></tr><tr><td>Anarchy</td><td>3.32</td><td>3.50</td><td>3.18</td><td>3.19</td><td>3.58</td><td>2.65</td><td>3.73</td><td>3.31</td><td>3.35</td><td>3.29</td><td>1.71</td><td>2.59</td><td>3.24</td><td>3.94</td><td>3.05</td><td>3.48</td><td>4.86</td><td>1.98</td><td>3.10</td></tr><tr><td>Tax</td><td>-0.68</td><td>-1.56***</td><td>-0.52</td><td>-0.66</td><td>-0.82*</td><td>0.33</td><td>-0.40</td><td>-0.26</td><td>-0.05</td><td>-0.29</td><td>2.07***</td><td>0.63</td><td>-0.69</td><td>-1.65**</td><td>-0.03</td><td>-0.25</td><td>-0.62</td><td>1.11</td><td>0.16</td></tr><tr><td>UBI</td><td>(0.74)</td><td>(0.50)</td><td>(0.63)</td><td>(0.42)</td><td>(0.44)</td><td>(0.55)</td><td>(0.36)</td><td>(0.52)</td><td>(0.75)</td><td>(0.68)</td><td>(0.75)</td><td>(0.76)</td><td>(0.75)</td><td>(0.77)</td><td>(0.92)</td><td>(0.65)</td><td>(0.40)</td><td>(1.16)</td><td>(1.14)</td></tr><tr><td>Effort</td><td>-0.17</td><td>-0.01</td><td>-0.57</td><td>-0.44</td><td>-0.70</td><td>0.93</td><td>-0.11</td><td>-0.39</td><td>-0.61</td><td>-0.72</td><td>0.79</td><td>-0.25</td><td>-0.53</td><td>0.59</td><td>-0.70</td><td>-0.94</td><td>-2.36***</td><td>1.59*</td><td>1.69**</td></tr><tr><td>Luck</td><td>-0.20</td><td>-0.20</td><td>0.77</td><td>-0.02</td><td>-0.23</td><td>0.56</td><td>-0.17</td><td>-0.65</td><td>-0.36</td><td>-1.37**</td><td>0.46</td><td>1.02</td><td>(0.84)</td><td>(1.01)</td><td>(0.55)</td><td>(1.11)</td><td>(0.63)</td><td>(0.65)</td><td>(0.70)</td></tr><tr><td>Effort</td><td>(0.64)</td><td>(0.60)</td><td>(0.52)</td><td>(0.42)</td><td>(0.51)</td><td>(0.60)</td><td>(0.38)</td><td>(0.51)</td><td>(0.82)</td><td>(0.64)</td><td>(0.59)</td><td>(0.79)</td><td>(0.89)</td><td>(0.81)</td><td>(0.73)</td><td>(0.66)</td><td>(0.58)</td><td>(1.07)</td><td>(0.99)</td></tr><tr><td>Luck</td><td>-0.23</td><td>-0.59</td><td>-0.27</td><td>0.06</td><td>-0.19</td><td>-0.02</td><td>-0.45</td><td>-0.42</td><td>0.29</td><td>-0.65</td><td>1.10</td><td>-0.30</td><td>-0.38</td><td>-1.80**</td><td>-0.11</td><td>-0.11</td><td>-1.01**</td><td>-1.98*</td><td>0.72</td></tr><tr><td></td><td>(0.57)</td><td>(0.77)</td><td>(0.63)</td><td>(0.38)</td><td>(0.46)</td><td>(0.79)</td><td>(0.40)</td><td>(0.55)</td><td>(0.68)</td><td>(0.69)</td><td>(1.35)</td><td>(1.03)</td><td>(0.76)</td><td>(0.82)</td><td>(0.60)</td><td>(0.62)</td><td>(0.45)</td><td>(1.03)</td><td>(0.87)</td></tr><tr><td colspan="15"><strong>India</strong></td></tr><tr><td>Anarchy</td><td>4.35</td><td>1.62</td><td>3.14</td><td>3.61</td><td>4.22</td><td>2.78</td><td>3.86</td><td>2.53</td><td>2.82</td><td>3.00</td><td>2.69</td><td>2.90</td><td>2.61</td><td>2.99</td><td>3.00</td><td>2.27</td><td>2.54</td><td>1.22</td><td>2.16</td></tr><tr><td>Tax</td><td>-1.37**</td><td>1.03</td><td>0.29</td><td>0.00</td><td>-0.88*</td><td>1.03*</td><td>-0.19</td><td>1.05*</td><td>1.22</td><td>0.15</td><td>0.90</td><td>0.44</td><td>0.61</td><td>0.46</td><td>0.46</td><td>0.93*</td><td>1.09</td><td>1.61**</td><td>0.82</td></tr><tr><td>UBI</td><td>(0.56)</td><td>(1.03)</td><td>(0.79)</td><td>(0.39)</td><td>(0.47)</td><td>(0.57)</td><td>(0.46)</td><td>(0.55)</td><td>(0.91)</td><td>(0.58)</td><td>(0.73)</td><td>(0.68)</td><td>(0.57)</td><td>(0.79)</td><td>(0.65)</td><td>(0.50)</td><td>(0.78)</td><td>(0.66)</td><td>(0.90)</td></tr><tr><td>Effort</td><td>-0.42</td><td>1.36</td><td>0.23</td><td>-0.13</td><td>-0.95*</td><td>1.31**</td><td>-0.07</td><td>0.50</td><td>1.20</td><td>0.13</td><td>0.74</td><td>0.73</td><td>0.93</td><td>0.67</td><td>-0.04</td><td>1.42***</td><td>1.25*</td><td>2.36**</td><td>1.28</td></tr><tr><td>Luck</td><td>(0.43)</td><td>(1.14)</td><td>(0.81)</td><td>(0.42)</td><td>(0.57)</td><td>(0.57)</td><td>(0.43)</td><td>(0.59)</td><td>(1.42)</td><td>(0.58)</td><td>(0.67)</td><td>(0.66)</td><td>(0.64)</td><td>(0.76)</td><td>(0.77)</td><td>(0.52)</td><td>(0.72)</td><td>(0.96)</td><td>(0.99)</td></tr><tr><td>Effort</td><td>-1.61***</td><td>0.97</td><td>0.08</td><td>-0.36</td><td>-0.32</td><td>0.08</td><td>-0.55</td><td>0.68</td><td>1.65*</td><td>0.33</td><td>2.08***</td><td>-0.46</td><td>0.28</td><td>-0.13</td><td>0.13</td><td>0.90</td><td>-0.24</td><td>2.22***</td><td>0.67</td></tr><tr><td>Luck</td><td>(0.52)</td><td>(0.80)</td><td>(0.87)</td><td>(0.43)</td><td>(0.42)</td><td>(0.79)</td><td>(0.46)</td><td>(0.58)</td><td>(0.91)</td><td>(0.60)</td><td>(0.54)</td><td>(0.59)</td><td>(0.62)</td><td>(0.87)</td><td>(0.67)</td><td>(0.57)</td><td>(0.94)</td><td>(0.61)</td><td>(0.97)</td></tr><tr><td></td><td>-0.61</td><td>1.83***</td><td>-0.93</td><td>-0.38</td><td>-0.97**</td><td>0.80</td><td>-0.73</td><td>0.90</td><td>0.17</td><td>0.13</td><td>0.43</td><td>0.43</td><td>0.64</td><td>0.13</td><td>0.17</td><td>0.23</td><td>0.46</td><td>-1.83***</td><td>1.37**</td><td>1.97**</td></tr><tr><td>(0.53)</td><td></td><td>(0.70)</td><td>(0.90)</td><td>(0.41)</td><td>(0.47)</td><td>(0.61)</td><td>(0.50)</td><td>(0.58)</td><td>(1.05)</td><td>(0.58)</td><td>(0.71)</td><td>(0.66)</td><td>(0.53)</td><td>(0.91)</td><td>(0.59)</td><td>(0.58)</td><td>(0.52)</td><td>(0.58)</td><td>(0.86)</td></tr><tr><td colspan="15"><strong>Indonesia</strong></td></tr><tr><td>Anarchy</td><td>2.78</td><td>3.61</td><td>2.76</td><td>3.44</td><td>2.77</td><td>3.71</td><td>3.25</td><td>3.18</td><td>3.38</td><td>3.58</td><td>3.01</td><td>2.52</td><td>2.88</td><td>2.59</td><td>1.80</td><td>2.94</td><td>3.27</td><td>2.89</td><td>3.30</td><td>2.48</td></tr><tr><td>Tax</td><td>-0.10</td><td>-0.75</td><td>-1.62**</td><td>-0.00</td><td>0.20</td><td>-0.95*</td><td>0.13</td><td>0.36</td><td>0.43</td><td>0.15</td><td>-0.03</td><td>0.17</td><td>-0.15</td><td>1.12</td><td>0.05</td><td>0.11</td><td>0.42</td><td>-0.71</td><td>0.21</td></tr><tr><td>UBI</td><td>(0.90)</td><td>(0.60)</td><td>(0.65)</td><td>(0.40)</td><td>(0.53)</td><td>(0.55)</td><td>(0.40)</td><td>(0.68)</td><td>(0.57)</td><td>(0.45)</td><td>(0.96)</td><td>(0.61)</td><td>(0.53)</td><td>(0.87)</td><td>(0.51)</td><td>(0.59)</td><td>(1.33)</td><td>(0.64)</td><td>(0.82)</td></tr><tr><td>Effort</td><td>0.93</td><td>-0.74</td><td>0.39</td><td>-0.43</td><td>0.14</td><td>-1.00*</td><td>-0.99**</td><td>-0.16</td><td>-0.27</td><td>-0.76*</td><td>-0.39</td><td>-0.48</td><td>0.33</td><td>0.56</td><td>-0.39</td><td>0.22</td><td>-0.32</td><td>-1.20*</td><td>1.36</td></tr><tr><td>Luck</td><td>(0.62)</td><td>(0.80)</td><td>(0.81)</td><td>(0.44)</td><td>(0.56)</td><td>(0.58)</td><td>(0.42)</td><td>(0.53)</td><td>(0.65)</td><td>(0.40)</td><td>(0.86)</td><td>(0.62)</td><td>(0.45)</td><td>(0.91)</td><td>(0.54)</td><td>(0.55)</td><td>(1.13)</td><td>(0.69)</td><td>(0.87)</td></tr><tr><td>Effort</td><td>0.72</td><td>-0.76</td><td>0.47</td><td>0.07</td><td>0.67</td><td>0.52</td><td>0.34</td><td>0.71</td><td>0.03</td><td>0.67*</td><td>1.27*</td><td>0.33</td><td>0.38</td><td>2.62***</td><td>0.28</td><td>0.25</td><td>0.87</td><td>-0.61</td><td>1.07</td></tr><tr><td>Luck</td><td>(0.68)</td><td>(0.73)</td><td>(0.72)</td><td>(0.42)</td><td>(0.51)</td><td>(0.78)</td><td>(0.43)</td><td>(0.48)</td><td>(0.75)</td><td>(0.40)</td><td>(0.77)</td><td>(0.67)</td><td>(0.56)</td><td>(0.48)</td><td>(0.66)</td><td>(0.54)</td><td>(0.87)</td><td>(0.83)</td><td>(0.78)</td></tr><tr><td></td><td>0.86</td><td>-0.98</td><td>0.01</td><td>0.17</td><td>0.76</td><td>-0.07</td><td>0.45</td><td>-0.13</td><td>0.79</td><td>-0.16</td><td>0.15</td><td>0.05</td><td>0.23</td><td>0.59</td><td>-0.24</td><td>-0.71</td><td>-0.21</td><td>-1.55***</td><td>0.40</td></tr><tr><td>(0.75)</td><td></td><td>(0.90)</td><td>(0.84)</td><td>(0.39)</td><td>(0.48)</td><td>(0.67)</td><td>(0.40)</td><td>(0.55)</td><td>(0.61)</td><td>(0.40)</td><td>(0.80)</td><td>(0.56)</td><td>(0.47)</td><td>(0.91)</td><td>(0.53)</td><td>(0.52)</td><td>(0.79)</td><td>(0.58)</td><td>(0.76)</td></tr><tr><td colspan="15"><strong>USA</strong></td></tr><tr><td>Anarchy</td><td>3.86</td><td>3.76</td><td>4.37</td><td>3.50</td><td>3.74</td><td>3.16</td><td>3.49</td><td>3.46</td><td>4.20</td><td>2.34</td><td>3.02</td><td>2.56</td><td>2.40</td><td>1.08</td><td>3.20</td><td>2.52</td><td>4.05</td><td>3.56</td><td>1.77</td></tr><tr><td>Tax</td><td>-1.09*</td><td>-0.43</td><td>-1.89***</td><td>-0.33</td><td>-0.43</td><td>-0.99</td><td>-0.48</td><td>0.28</td><td>0.05</td><td>0.06</td><td>0.81</td><td>0.32</td><td>-0.57</td><td>-1.08**</td><td>0.38</td><td>-0.96*</td><td>-1.82**</td><td>-0.31</td><td>1.09</td></tr><tr><td>UBI</td><td>(0.58)</td><td>(0.65)</td><td>(0.50)</td><td>(0.39)</td><td>(0.40)</td><td>(0.87)</td><td>(0.50)</td><td>(0.43)</td><td>(1.00)</td><td>(0.57)</td><td>(1.02)</td><td>(1.04)</td><td>(0.65)</td><td>(0.50)</td><td>(0.87)</td><td>(0.54)</td><td>(0.92)</td><td>(0.86)</td><td>(1.02)</td></tr><tr><td>Effort</td><td>-0.42</td><td>-0.05</td><td>-1.53**</td><td>-0.21</td><td>-0.54</td><td>-0.05</td><td>0.51</td><td>-0.11</td><td>-0.31</td><td>0.14</td><td>0.05</td><td>0.24</td><td>0.51</td><td>1.24**</td><td>0.17</td><td>0.86</td><td>0.91</td><td>-3.56***</td><td>0.04</td></tr><tr><td>Luck</td><td>(0.72)</td><td>(0.53)</td><td>(0.60)</td><td>(0.41)</td><td>(0.55)</td><td>(0.89)</td><td>(0.38)</td><td>(0.52)</td><td>(0.82)</td><td>(0.56)</td><td>(0.79)</td><td>(0.89)</td><td>(1.01)</td><td>(0.57)</td><td>(0.66)</td><td>(0.76)</td><td>(0.71)</td><td>(0.73)</td><td>(0.63)</td></tr><tr><td>Effort</td><td>-1.11*</td><td>-0.55</td><td>-1.77***</td><td>-0.43</td><td>-0.18</td><td>-0.24</td><td>0.10</td><td>0.41</td><td>0.72</td><td>0.94</td><td>-0.52</td><td>0.99</td><td>0.50</td><td>1.57***</td><td>0.75</td><td>0.28</td><td>-2.14**</td><td>-2.76***</td><td>-1.77***</td></tr><tr><td>Luck</td><td>(0.64)</td><td>(0.61)</td><td>(0.54)</td><td>(0.39)</td><td>(0.47)</td><td>(0.89)</td><td>(0.41)</td><td>(0.49)</td><td>(0.73)</td><td>(0.65)</td><td>(1.02)</td><td>(0.63)</td><td>(0.75)</td><td>(0.52)</td><td>(0.76)</td><td>(0.63)</td><td>(1.04)</td><td>(0.83)</td><td>(0.62)</td></tr><tr><td></td><td>-1.31**</td><td>-0.38</td><td>-0.98**</td><td>-0.00</td><td>-0.95**</td><td>1.00</td><td>0.08</td><td>-0.58</td><td>-0.32</td><td>-0.10</td><td>0.00</td><td>-1.65**</td><td>1.02</td><td>-0.59</td><td>-0.35</td><td>-1.49</td><td>-1.07</td><td>2.19**</td><td>0.92</td></tr><tr><td>(0.62)</td><td></td><td>(0.68)</td><td>(0.49)</td><td>(0.38)</td><td>(0.46)</td><td>(0.85)</td><td>(0.49)</td><td>(0.57)</td><td>(0.97)</td><td>(0.48)</td><td>(0.99)</td><td>(0.66)</td><td>(0.66)</td><td>(0.65)</td><td>(0.76)</td><td>(0.62)</td><td>(1.33)</td><td>(1.28)</td><td>(0.96)</td></tr></tbody></table>

Notes: Part 1 data used. Difference estimates presented. The Anarchy treatment is the baseline group. Here, the inequality level is defined as the percentage difference between the participant and their partner's post-shock income. As such, the significance levels ***p < 0.01**, p < 0.05*, p < 0.1 refer to the test of equality between treatments with centralized distribution and the Anarchy treatment for each country, for a given level of inequality. Income, gender and incorrect comprehension coefficients are omitted.

Table A8 shows the income levels associated with each inequality fixed effect.