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. 2022 Dec 11;24(2):563–587. doi: 10.1007/s10902-022-00609-z

Table 4.

Mechanisms analysis

Dependent variable: Incomea (1) Healthb (2) Divorcec (3) Widowd (4) Jobe (5) Socialf (6)
Panel A. Full sample
Quake 0.077 (0.048) 0.090 (0.066) 0.015*** (0.005) 0.020*** (0.006) − 0.052** (0.019) 0.179** (0.064)
Baseline covariates Y Y Y Y Y Y
Year FE Y Y Y Y Y Y
Province FE Y Y Y Y Y Y
Adjusted R2 0.348 0.208 0.022 0.253 0.226 0.328
N1 3454 3224 3011 3294 3672 3023
N 28,920 28,800 23,915 26,037 32,139 24,415
Panel B. Rural subsample
Quake 0.017 (0.069) 0.112 (0.095) 0.017*** (0.003) − 0.034 (0.026) 0.203*** (0.066)
Baseline covariates Y Y Y Y Y
Year FE Y Y Y Y Y
Province FE Y Y Y Y Y
Adjusted R2 0.253 0.198 0.012 0.243 0.395
N1 1880 1693 1653 1982 1599
N 15,414 15,167 14,513 17,001 11,546

Measures of the five life domains serve as dependent variables in columns (1)–(6): aIncome is the natural logarithm of the equivalized household income adjusted to the level in the year 2005 based on provinces’ annual consumer price index (CPI); bHealth is self-evaluated health status (1–5); cDivorce is 1 for divorcees and 0 for those currently married or cohabitating with a partner; dWidow is 1 for widows and 0 for those currently married or cohabitating with a partner; eJob is 1 for the employed and 0 for the unemployed and those not in the labor markets; and fSocial refers to frequency of contact with friends and relatives (1–5). Independent variables are identical to the baseline models of Table 2. N and N1 represent the sample size and number of observations from Sichuan province, respectively. Standard errors, clustered at the province level, are shown in parentheses. *** significance at the 1% level, ** significance at the 5% level. FE: Fixed effect