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. Author manuscript; available in PMC: 2012 May 7.
Published in final edited form as: Popul Dev Rev. 2011;37(1):29–56. doi: 10.1111/j.1728-4457.2011.00389.x

TABLE 1.

Coefficients from linear regression models predicting happiness, Model 1 (N=201,988)

Variable Coefficient SE t p value 95% CI
Number of children (none)
One 0.041 0.005 7.95 0.000 (0.031 0.051)
Two 0.062 0.005 13.09 0.000 (0.053 0.072)
Three 0.060 0.005 10.80 0.000 (0.049 0.071)
Four or more 0.002 0.006 0.30 0.766 (−0.009 0.013)
Sex (male)
Female 0.007 0.003 2.47 0.014 (0.001 0.014)
Age (15–19)
Ages 20–39 −0.094 0.008 −11.66 0.000 (−0.110 −0.079)
Age 40+ −0.192 0.009 −22.25 0.000 (−0.209 −0.175)

NOTE: Coefficients for country and year dummy variables not shown. SE = standard error; CI = confidence interval. R squared = 0.12.

Happiness is measured on a linear scale from 1 (not at all happy) to 4 (very happy).

SOURCE: World Values Surveys 1981–2005.