Table 1.
Descriptive statistics:Inequality measures.
| Countries | Mean | Std. Dev. | Min. | Max. | |
|---|---|---|---|---|---|
| Pre-tax income:Bottom 50% | 59 | 17.28 | 5.31 | 6.18 | 26.36 |
| Pre-tax income:Middle 40% | 59 | 42.49 | 5.11 | 29.29 | 52.81 |
| Pre-tax income:Top 10% | 59 | 40.22 | 9.79 | 27.47 | 63.62 |
| Pre-tax income:Top 1% | 59 | 13.83 | 5.09 | 6.61 | 28.61 |
| Post-tax income:Bottom 50% | 41 | 24.19 | 6.90 | 8.10 | 34.83 |
| Post-tax income:Middle 40% | 41 | 43.48 | 5.01 | 29.53 | 53.75 |
| Post-tax income:Top 10% | 42 | 32.33 | 10.60 | 22.08 | 60.69 |
| Post-tax income:Top 1% | 42 | 9.91 | 5.14 | 4.92 | 24.36 |
| Wealth:Bottom 50% | 58 | 3.91 | 2.76 | −2.77 | 11.76 |
| Wealth:Middle 40% | 58 | 34.58 | 6.68 | 16.88 | 46.17 |
| Wealth:Top 10% | 58 | 61.51 | 8.62 | 43.94 | 85.89 |
| Wealth:Top 1% | 58 | 28.08 | 9.15 | 13.84 | 52.35 |
Table 2.
Average marginal effects from the ordered probit model for the probability of being very happy or being very satisfied with life.
| Happiness | Life satisfaction | |||||||
|---|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | |
| Pre-tax income: Bottom 50% | 0.005 | 0.002 | ||||||
| Pre-tax income: Middle 40% | (0.004) | –0.004* | (0.002) | –0.000 | ||||
| Pre-tax income: Top 10% | (0.002) | 0.001 | (0.002) | –0.000 | ||||
| Pre-tax income: Top 1% | (0.001) | 0.004 (0.002) | (0.001) | 0.001 (0.001) | ||||
| Observations | 265,733 | 265,733 | 265,733 | 265,733 | 266,158 | 266,158 | 266,158 | 266,158 |
| Countries | 58 | 58 | 58 | 58 | 58 | 58 | 58 | 58 |
| Pseudo-R2 | 0.129 | 0.129 | 0.129 | 0.129 | 0.066 | 0.066 | 0.066 | 0.066 |
1 Notes: ***p < 0.01, **p < 0.05, *p < 0.10. Standard errors clustered at the country level. Country and year fixed effects included. Individual-level controls and log of GDP per capita included. Table A1 in the Appendix presents the list of countries included in the regressions and the number of observations for each country
Table 3.
Average marginal effects from the ordered probit model for the probability of being very happy or being very satisfied with life.
| Happiness | Life satisfaction | |||||||
|---|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | |
| Post-tax income: Bottom 50% | 0.006** | –0.002 | ||||||
| Post-tax income: Middle 40% | (0.003) | –0.003 | (0.002) | –0.003 | ||||
| Post-tax income: Top 10% | (0.003) | –0.000 | (0.002) | 0.002 | ||||
| Post-tax income: Top 1% | (0.002) | 0.001 (0.001) | (0.001) | 0.002 (0.002) | ||||
| Observations | 153,359 | 153,359 | 156,781 | 156,781 | 153,702 | 153,702 | 157,122 | 157,122 |
| Countries | 41 | 41 | 42 | 42 | 41 | 41 | 42 | 42 |
| Pseudo-R2 | 0.148 | 0.147 | 0.148 | 0.148 | 0.068 | 0.068 | 0.068 | 0.068 |
1 Notes: ***p < 0.01, **p < 0.05, *p < 0.10. Standard errors clustered at the country level. Country and year fixed effects included.Individual-level controls and log of GDP per capita included. Table A1 in the Appendix presents the list of countries included in the regressions and the number of observations for each country
Table 4.
Average marginal effects from the ordered probit model for the probability of being very happy or being very satisfied with life.
| Happiness | Life satisfaction | |||||||
|---|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | |
| Wealth: Bottom 50% | –0.006 | 0.001 | ||||||
| Wealth: Middle 40% | (0.005) | –0.006** | (0.003) | |||||
| –0.003* | ||||||||
| Wealth: Top 10% | (0.003) | 0.004** | (0.002) | 0.001 | ||||
| Wealth: Top 1% | (0.002) | 0.004** (0.002) | (0.001) | 0.002** (0.001) | ||||
| Observations | 256,164 | 256,164 | 256,164 | 256,164 | 256,588 | 256,588 | 256,588 | 256,588 |
| Countries | 57 | 57 | 57 | 57 | 57 | 57 | 57 | 57 |
| Pseudo-R2 | 0.130 | 0.131 | 0.131 | 0.131 | 0.068 | 0.068 | 0.068 | 0.068 |
1 Notes: ***p < 0.01, **p < 0.05, *p < 0.10. Standard errors clustered at the country level. Country and year fixed effects included. Individual-level controls and log of GDP per capita included. Table A1 in the Appendix presents the list of countries included in the regressions and the number of observations for each country.
Table 5.
Average marginal effects from the ordered probit model for the probability of being very happy or being very satisfied with life:“poor”countries
| Happiness | Life satisfaction | |||||||
|---|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | |
| Wealth: Bottom 50% | −0.017*** | −0.005 | ||||||
| Wealth: Middle 40% | (0.006) | −0.010*** | (0.005) | −0.006** | ||||
| Wealth: Top 10% | (0.003) | 0.007** | (0.003) | 0.004* | ||||
| Wealth: Top 1% | (0.002) | 0.006** (0.002) | (0.002) | 0.004*** (0.002) | ||||
| Observations | 133,929 | 133,929 | 133,929 | 133,929 | 134,104 | 134,104 | 134,104 | 134,104 |
| Countries | 29 | 29 | 29 | 29 | 29 | 29 | 29 | 29 |
| Pseudo-R2 | 0.123 | 0.124 | 0.124 | 0.123 | 0.064 | 0.065 | 0.065 | 0.065 |
1 Notes: ***p < 0.01, **p < 0.05, *p < 0.10. Standard errors clustered at the country level. Country and year fixed effects included. Individual-level controls and log of GDP per capita included. Table A1 in the Appendix presents the list of countries included in the regressions and the number of observations for each country. The subsample of countries consists of those classified as low-income, lower-middle-income, and upper-middle-income economies by the World Bank, according to the survey year [World Bank, 2024].
Table 6.
Average marginal effects from the ordered probit model for the probability of being very happy or being very satisfied with life: “rich” countries.
| Happiness | Life satisfaction | |||||||
|---|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | |
| Wealth: Bottom 50% | –0.005 | 0.006*** | ||||||
| Wealth: Middle 40% | (0.005) | 0.003 | (0.002) | 0.000 | ||||
| Wealth: Top 10% | (0.003) | –0.003 | (0.003) | –0.001 | ||||
| Wealth: Top 1% | (0.002) | –0.002 (0.002) | (0.002) | 0.000 (0.002) | ||||
| Observations | 122,235 | 122,235 | 122,235 | 122,235 | 122,484 | 122,484 | 122,484 | 122,484 |
| Countries | 35 | 35 | 35 | 35 | 35 | 35 | 35 | 35 |
| Pseudo-R2 | 0.137 | 0.137 | 0.137 | 0.137 | 0.065 | 0.065 | 0.065 | 0.065 |
1 Notes: ***p < 0.01, **p < 0.05, *p < 0.10. Standard errors clustered at the country level. Country and year fixed effects included. Individual-level controls and log of GDP per capita included. Table A1 in the Appendix presents the list of countries included in the regressions and the number of observations for each country. The subsample of countries consists of those classified as high-income economies by the World Bank, according to the survey year [World Bank, 2024]. The total number of countries studied in Tables 5 and 6 altogether is larger than the number presented in Table 4, since some countries were classified as both “poor” and “rich,” depending on the survey year.

Figure 1.
Happiness (left panel) and life satisfaction (right panel): no country fixed effects.
Notes: Figures show average marginal effects from ordered probit models for the probability of being very happy (left) and very satisfied with life (right). Year fixed effects are included, country fixed effects are not.

Figure 2.
Happiness (left panel) and life satisfaction (right panel): no year fixed effects.
Notes: Figure shows average marginal effects from ordered probit models for the probability of being very happy (left) and very satisfied with life (right). Country fixed effects are included, year fixed effects are not.
Table A1.
The list of countries and the number of observations included in the regressions
| Number of observations | ||||||
|---|---|---|---|---|---|---|
| Country | Table 2: Pre-tax income | Table 3: Bottom 50% and Middle 40% of Post-tax income | Table 3: Top 10% and Top 1% of Post-tax income | Table 4: Wealth | Table 5: Low- and middle-income economies | Table 6: High-income economies |
| Argentina | 2,833 | 766 | 766 | 2,833 | 2,067 | 766 |
| Australia | 5,611 | 5,611 | 5,611 | 5,611 | 0 | 5,611 |
| Austria | 2,502 | 2,502 | 2,502 | 2,502 | 0 | 2,502 |
| Belgium | 1,342 | 1,342 | 1,342 | 1,342 | 0 | 1,342 |
| Brazil | 7,133 | 4,402 | 4,402 | 5,492 | 5,492 | 0 |
| Bulgaria | 4,078 | 4,078 | 4,078 | 4,078 | 4,078 | 0 |
| Canada | 7,419 | 0 | 3,422 | 7,419 | 0 | 7,419 |
| Chile | 4,638 | 3,736 | 3,736 | 4,638 | 2,930 | 1,708 |
| China | 6,959 | 0 | 0 | 6,959 | 6,959 | 0 |
| Colombia | 5,929 | 2,961 | 2,961 | 5,929 | 5,929 | 0 |
| Croatia | 2,396 | 2,396 | 2,396 | 2,396 | 0 | 2,396 |
| Cyprus | 3,635 | 3,635 | 3,635 | 3,635 | 0 | 3,635 |
| Czech Republic | 3,392 | 3,392 | 3,392 | 3,392 | 865 | 2,527 |
| Denmark | 4,104 | 4,104 | 4,104 | 4,104 | 0 | 4,104 |
| Dominican Republic | 296 | 0 | 0 | 296 | 296 | 0 |
| Ecuador | 2,306 | 2,306 | 2,306 | 2,306 | 2,306 | 0 |
| Egypt | 6,760 | 0 | 0 | 6,760 | 6,760 | 0 |
| El Salvador | 1,033 | 0 | 0 | 1,033 | 1,033 | 0 |
| Estonia | 4,715 | 4,715 | 4,715 | 4,715 | 923 | 3,792 |
| Finland | 3,685 | 3,685 | 3,685 | 3,685 | 0 | 3,685 |
| France | 3,882 | 3,882 | 3,882 | 3,882 | 0 | 3,882 |
| Georgia | 5,928 | 0 | 0 | 5,928 | 5,928 | 0 |
| Germany | 10,054 | 10,054 | 10,054 | 10,054 | 0 | 10,054 |
| Greece | 2,355 | 2,355 | 2,355 | 2,355 | 0 | 2,355 |
| Hong Kong | 3,057 | 0 | 0 | 0 | 0 | 0 |
| Hungary | 3,328 | 3,328 | 3,328 | 3,328 | 0 | 3,328 |
| Iceland | 2,119 | 2,119 | 2,119 | 2,119 | 0 | 2,119 |
| India | 10,028 | 0 | 0 | 8,311 | 8,311 | 0 |
| Iraq | 6,619 | 0 | 0 | 6,619 | 6,619 | 0 |
| Ireland | 515 | 515 | 515 | 515 | 0 | 515 |
| Italy | 3,074 | 3,074 | 3,074 | 3,074 | 0 | 3,074 |
| Jordan | 3,478 | 0 | 0 | 3,478 | 3,478 | 0 |
| Korea | 4,784 | 0 | 0 | 4,784 | 0 | 4,784 |
| Latvia | 2,236 | 2,236 | 2,236 | 2,236 | 2,236 | 0 |
| Lebanon | 2,300 | 0 | 0 | 2,300 | 2,300 | 0 |
| Lithuania | 2,961 | 2,961 | 2,961 | 2,961 | 1,935 | 1,026 |
| Luxembourg | 1,147 | 1,147 | 1,147 | 1,147 | 0 | 1,147 |
| Mexico | 7,239 | 4,925 | 4,925 | 7,239 | 7,239 | 0 |
| Netherlands | 5,446 | 5,446 | 5,446 | 5,446 | 0 | 5,446 |
| New Zealand | 3,032 | 0 | 0 | 3,032 | 0 | 3,032 |
| Norway | 4,006 | 4,006 | 4,006 | 4,006 | 0 | 4,006 |
| Peru | 6,205 | 5,280 | 5,280 | 6,205 | 6,205 | 0 |
| Poland | 3,842 | 3,842 | 3,842 | 3,842 | 1,914 | 1,928 |
| Portugal | 782 | 782 | 782 | 782 | 0 | 782 |
| Romania | 7,229 | 7,229 | 7,229 | 7,229 | 7,229 | 0 |
| Russian Federation | 9,197 | 0 | 0 | 9,197 | 9,197 | 0 |
| Serbia | 6,154 | 6,154 | 6,154 | 6,154 | 6,154 | 0 |
| Singapore | 3,587 | 0 | 0 | 3,587 | 0 | 3,587 |
| Slovakia | 2,813 | 2,813 | 2,813 | 2,813 | 861 | 1,952 |
| Slovenia | 3,430 | 3,430 | 3,430 | 3,430 | 0 | 3,430 |
| South Africa | 13,179 | 0 | 0 | 10,927 | 10,927 | 0 |
| Spain | 5,558 | 5,558 | 5,558 | 5,558 | 0 | 5,558 |
| Sweden | 4,824 | 4,824 | 4,824 | 4,824 | 0 | 4,824 |
| Switzerland | 5,637 | 5,637 | 5,637 | 5,637 | 0 | 5,637 |
| Turkey | 11,930 | 0 | 0 | 11,028 | 11,028 | 0 |
| USA | 6,991 | 6,991 | 6,991 | 6,991 | 0 | 6,991 |
| United Kingdom | 3,291 | 3,291 | 3,291 | 3,291 | 0 | 3,291 |
| Uruguay | 2,730 | 1,849 | 1,849 | 2,730 | 2,730 | 0 |
