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Table 19 Heterogeneity by training

From: A new look at technical progress and early retirement

  (1) (2) (3)
Dep. var.: Retired Benchmark With training W/o training
TFP growth 0.075 0.044 0.078
  (0.010) (0.041) (0.009)
TFP growth squared –0.015 –0.005 –0.016
  (0.002) (0.008) (0.002)
Married (d) 0.009 0.025 0.007
  (0.004) (0.011) (0.004)
Spouse working (d) –0.042 –0.047 –0.041
  (0.004) (0.011) (0.004)
Emp. health ins. (d) –0.001 0.006 –0.002
  (0.005) (0.014) (0.005)
Gov. health ins. (d) 0.127 0.132 0.126
  (0.013) (0.035) (0.013)
Wealth 0.062 0.080 0.056
  (0.023) (0.077) (0.023)
Pension (d) –0.079 –0.097 –0.077
  (0.009) (0.021) (0.008)
Very good health (d) 0.014 0.007 0.015
  (0.005) (0.015) (0.005)
Good health (d) 0.026 0.021 0.027
  (0.005) (0.016) (0.006)
Fair health (d) 0.076 0.085 0.076
  (0.010) (0.027) (0.011)
Poor health (d) 0.279 0.440 0.255
  (0.026) (0.077) (0.026)
Pseudo R-squared 0.239 0.276 0.235
Observations 21,856 3,390 18,462
  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