Table 1.
Summary statistics.
Fig 1.
Number of days interviews were conducted after start of field work in sub-national region.
Note: Days counted are in reference to the start of field work in first sub-national administrative unit.
Fig 2.
Mean life evaluation by sub-national region (2008–2020).
Note: “regional” means calculated with pooled annual data of 2008 to 2020. Life evaluation is measured on a scale 0–10.
Fig 3.
Average number of high-temperature days.
Note: Population weights were used to calculate yearly means. High temperature days refer to a count of days with temperatures above 2 SD of the historical mean (1980–2004) of that period and region.
Table 2.
Marginal effect of additional hot day on SWB.
Fig 4.
Structural model outline.
Table 3.
Marginal effect of HTD on income and SWB.
Fig 5.
Estimation procedure flow-chart.
Fig 6.
Income growth to compensate for HTD damage compared with 2019.
Note: Income growth necessary to compensate for income and non-income damage of projected increase in HTD compared with 2019. Damage estimates are based on the results of the global structural equation model. The increase in HTD is extrapolated with the region-specific linear trend from 2008 to 2019. Mean compensation rates are calculated using population weights.
Fig 7.
Income increase to compensate for SWB damage of increasing HTD in 2030 compared with 2019.
Note: Predictions are based on region-specific linear projections of HTD changes from 2019 to 2030 and world-region specific estimates of the structural equation models.