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Table 16 Heterogeneity by age group

From: A new look at technical progress and early retirement

  (1) (2) (3) (4)
Dep. var.: Retired Benchmark Age 50–54 Age 55–59 Age 60–64
TFP growth 0.075 0.024 0.064 0.148
  (0.010) (0.008) (0.013) (0.033)
TFP growth squared –0.015 –0.004 –0.012 –0.029
  (0.002) (0.002) (0.003) (0.008)
Married (d) 0.009 0.002 0.012 0.013
  (0.004) (0.002) (0.005) (0.013)
Spouse working (d) –0.042 –0.006 –0.032 –0.107
  (0.004) (0.002) (0.005) (0.010)
Emp. health ins. (d) -0.001 0.002 0.011 –0.028
  (0.005) (0.002) (0.005) (0.016)
Gov. health ins. (d) 0.127 0.047 0.140 0.198
  (0.013) (0.018) (0.023) (0.026)
Wealth 0.062 0.025 0.128 -0.054
  (0.023) (0.008) (0.031) (0.074)
Pension (d) –0.079 –0.034 –0.082 –0.130
  (0.009) (0.006) (0.011) (0.016)
Very good health (d) 0.014 0.009 0.013 0.025
  (0.005) (0.005) (0.006) (0.015)
Good health (d) 0.026 0.009 0.024 0.049
  (0.005) (0.005) (0.007) (0.015)
Fair health (d) 0.076 0.055 0.059 0.132
  (0.010) (0.018) (0.012) (0.023)
Poor health (d) 0.279 0.150 0.320 0.328
  (0.026) (0.047) (0.036) (0.045)
Pseudo R-squared 0.239 0.272 0.179 0.171
Observations 21,856 5,304 9,528 7,014
  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