Table 2.

Predicting the Level and Change in Life Satisfaction in SOEP and SHP (Without Controlling for Age at Retirement)

SOEP (n = 3,811)
Level, B (SE)Preretirement slope, B (SE)Short-term slope, B (SE)Postretirement slope, B (SE)
Intercept6.58 (0.09)***−0.07 (0.03)*0.05 (0.09)−0.05 (0.03)
Retirement year (0 = 2001)0.02 (0.00)***0.004 (0.00)**0.01 (0.01)**0.00 (0.00)
Gender (0 = female, 1 = male)−0.08 (0.05)0.02 (0.01)−0.06 (0.04)0.02 (0.02)
Education (0 = low, 1 = middle and high)0.39 (0.08)***0.03 (0.03)−0.02 (0.09)0.03 (0.03)
Residual variance1.99 (0.08)***0.05 (0.01)****0.43 (0.12)***0.06 (0.02)***
SOEP (n = 3,811)
Level, B (SE)Preretirement slope, B (SE)Short-term slope, B (SE)Postretirement slope, B (SE)
Intercept6.58 (0.09)***−0.07 (0.03)*0.05 (0.09)−0.05 (0.03)
Retirement year (0 = 2001)0.02 (0.00)***0.004 (0.00)**0.01 (0.01)**0.00 (0.00)
Gender (0 = female, 1 = male)−0.08 (0.05)0.02 (0.01)−0.06 (0.04)0.02 (0.02)
Education (0 = low, 1 = middle and high)0.39 (0.08)***0.03 (0.03)−0.02 (0.09)0.03 (0.03)
Residual variance1.99 (0.08)***0.05 (0.01)****0.43 (0.12)***0.06 (0.02)***
SHP (n = 1,806)
Level, B (SE)Preretirement slope, B (SE)Short-term slope, B (SE)Postretirement slope, B (SE)
Intercept7.55 (0.10)***−0.09 (0.04)*0.19 (0.11)−0.09 (0.03)*
Retirement year (0 = 2001)0.02 (0.00)***0.004 (0.00)**−0.01 (0.01)0.00 (0.00)
Gender (0 = female, 1 = male)0.15 (0.06)*0.02 (0.01)−0.06 (0.04)0.02 (0.02)
Education (0 = low, 1 = middle and high)0.39 (0.08)***0.03 (0.03)−0.02 (0.09)0.03 (0.03)
Residual variance1.36 (0.10)***0.04 (0.01)**0.12 (0.14)0.04 (0.02)**
SHP (n = 1,806)
Level, B (SE)Preretirement slope, B (SE)Short-term slope, B (SE)Postretirement slope, B (SE)
Intercept7.55 (0.10)***−0.09 (0.04)*0.19 (0.11)−0.09 (0.03)*
Retirement year (0 = 2001)0.02 (0.00)***0.004 (0.00)**−0.01 (0.01)0.00 (0.00)
Gender (0 = female, 1 = male)0.15 (0.06)*0.02 (0.01)−0.06 (0.04)0.02 (0.02)
Education (0 = low, 1 = middle and high)0.39 (0.08)***0.03 (0.03)−0.02 (0.09)0.03 (0.03)
Residual variance1.36 (0.10)***0.04 (0.01)**0.12 (0.14)0.04 (0.02)**

Notes: CFI = comparative fit index; CI = confidence interval; RMSEA = root-mean-square error of approximation; SHP = Swiss Household Panel; SOEP = German Socioeconomic Panel Study; SRMR = standardized root-mean-square residual; TLI = Tucker–Lewis index. Model fit: CFI = 0.994, TLI = 0.992, RMSEA = 0.018, 90% CI (0.014; 0.023); SRMR = 0.020.

*p < .05 ** p < .01 ***p < .001.

Table 2.

Predicting the Level and Change in Life Satisfaction in SOEP and SHP (Without Controlling for Age at Retirement)

SOEP (n = 3,811)
Level, B (SE)Preretirement slope, B (SE)Short-term slope, B (SE)Postretirement slope, B (SE)
Intercept6.58 (0.09)***−0.07 (0.03)*0.05 (0.09)−0.05 (0.03)
Retirement year (0 = 2001)0.02 (0.00)***0.004 (0.00)**0.01 (0.01)**0.00 (0.00)
Gender (0 = female, 1 = male)−0.08 (0.05)0.02 (0.01)−0.06 (0.04)0.02 (0.02)
Education (0 = low, 1 = middle and high)0.39 (0.08)***0.03 (0.03)−0.02 (0.09)0.03 (0.03)
Residual variance1.99 (0.08)***0.05 (0.01)****0.43 (0.12)***0.06 (0.02)***
SOEP (n = 3,811)
Level, B (SE)Preretirement slope, B (SE)Short-term slope, B (SE)Postretirement slope, B (SE)
Intercept6.58 (0.09)***−0.07 (0.03)*0.05 (0.09)−0.05 (0.03)
Retirement year (0 = 2001)0.02 (0.00)***0.004 (0.00)**0.01 (0.01)**0.00 (0.00)
Gender (0 = female, 1 = male)−0.08 (0.05)0.02 (0.01)−0.06 (0.04)0.02 (0.02)
Education (0 = low, 1 = middle and high)0.39 (0.08)***0.03 (0.03)−0.02 (0.09)0.03 (0.03)
Residual variance1.99 (0.08)***0.05 (0.01)****0.43 (0.12)***0.06 (0.02)***
SHP (n = 1,806)
Level, B (SE)Preretirement slope, B (SE)Short-term slope, B (SE)Postretirement slope, B (SE)
Intercept7.55 (0.10)***−0.09 (0.04)*0.19 (0.11)−0.09 (0.03)*
Retirement year (0 = 2001)0.02 (0.00)***0.004 (0.00)**−0.01 (0.01)0.00 (0.00)
Gender (0 = female, 1 = male)0.15 (0.06)*0.02 (0.01)−0.06 (0.04)0.02 (0.02)
Education (0 = low, 1 = middle and high)0.39 (0.08)***0.03 (0.03)−0.02 (0.09)0.03 (0.03)
Residual variance1.36 (0.10)***0.04 (0.01)**0.12 (0.14)0.04 (0.02)**
SHP (n = 1,806)
Level, B (SE)Preretirement slope, B (SE)Short-term slope, B (SE)Postretirement slope, B (SE)
Intercept7.55 (0.10)***−0.09 (0.04)*0.19 (0.11)−0.09 (0.03)*
Retirement year (0 = 2001)0.02 (0.00)***0.004 (0.00)**−0.01 (0.01)0.00 (0.00)
Gender (0 = female, 1 = male)0.15 (0.06)*0.02 (0.01)−0.06 (0.04)0.02 (0.02)
Education (0 = low, 1 = middle and high)0.39 (0.08)***0.03 (0.03)−0.02 (0.09)0.03 (0.03)
Residual variance1.36 (0.10)***0.04 (0.01)**0.12 (0.14)0.04 (0.02)**

Notes: CFI = comparative fit index; CI = confidence interval; RMSEA = root-mean-square error of approximation; SHP = Swiss Household Panel; SOEP = German Socioeconomic Panel Study; SRMR = standardized root-mean-square residual; TLI = Tucker–Lewis index. Model fit: CFI = 0.994, TLI = 0.992, RMSEA = 0.018, 90% CI (0.014; 0.023); SRMR = 0.020.

*p < .05 ** p < .01 ***p < .001.

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