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Table 7 Robustness on different subsamples

From: A new look at technical progress and early retirement

  (1) (2) (3)
Dep. var.: Retired Benchmark Only positive shocks W/o crisis years
TFP growth 0.075 0.081 0.069
  (0.010) (0.010) (0.011)
TFP growth squared –0.015 –0.016 –0.014
  (0.002) (0.002) (0.002)
Married (d) 0.009 0.009 0.009
  (0.004) (0.004) (0.004)
Spouse working (d) –0.042 –0.042 –0.041
  (0.004) (0.004) (0.004)
Emp. health ins. (d) –0.001 –0.000 –0.004
  (0.005) (0.005) (0.005)
Gov. health ins. (d) 0.127 0.126 0.124
  (0.013) (0.013) (0.013)
Wealth 0.062 0.062 0.043
  (0.023) (0.023) (0.026)
Pension (d) –0.079 –0.079 –0.075
  (0.009) (0.009) (0.010)
Very good health (d) 0.014 0.014 0.013
  (0.005) (0.005) (0.005)
Good health (d) 0.026 0.026 0.024
  (0.005) (0.005) (0.006)
Fair health (d) 0.076 0.077 0.079
  (0.010) (0.010) (0.011)
Poor health (d) 0.279 0.280 0.280
  (0.026) (0.026) (0.029)
Pseudo R-squared 0.239 0.239 0.242
Observations 21,856 21,757 19,373
  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. Column (2) has less observations due to unreported years of schooling