Skip to main content

Table 17 Heterogeneity by gender

From: A new look at technical progress and early retirement

  (1) (2) (3)
Dep. var.: Retired Benchmark Only females Both genders
TFP growth 0.075 0.012 0.029
  (0.010) (0.010) (0.008)
TFP growth squared –0.015 0.006 –0.001
  (0.002) (0.002) (0.002)
Male (d)    –0.036
    (0.004)
Married (d) 0.009 0.063 0.041
  (0.004) (0.004) ((0.003)
Spouse working (d) –0.042 –0.062 –0.054
  (0.004) (0.005) (0.004)
Emp. health ins. (d) –0.001 –0.018 –0.011
  (0.005) (0.005) (0.004)
Gov. health ins. (d) 0.127 0.143 0.155
  (0.013) (0.012) (0.010)
Wealth 0.062 0.269 0.173
  (0.023) (0.045) (0.032)
Pension (d) –0.079 –0.200 –0.157
  (0.009) (0.006) (0.006)
Very good health (d) 0.014 0.006 0.012
  (0.005) (0.005) ((0.004)
Good health (d) 0.026 0.022 0.029
  (0.005) (0.006) (0.004)
Fair health (d) 0.076 0.105 0.107
  (0.010) (0.011) (0.008)
Poor health (d) 0.279 0.389 0.374
  (0.026) (0.023) (0.016)
Pseudo R-squared 0.239 0.246 0.232
Observations 21,856 24,859 46,715
  1. Notes: All models include race, foreign-born, geographical, education, occupation, age, cohort, and sector dummies, as well as controls for the unemployment rate in the survey year and the sector experience. Statistical significance is represented by * for p<0.10, ** for p<0.05, and *** for p<0.01. Standard errors are clustered at the sector-wave level. All models report the marginal effects of logit regressions