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Table 20 Effect of technical change on different labor statuses

From: A new look at technical progress and early retirement

  (1) (2) (3)
Dep. var.: Retired Retired/Unemp. Retired/Unemp./Part-time
TFP growth 0.075 0.061 0.066
  (0.010) (0.012) (0.016)
TFP growth squared -0.015 -0.012 -0.012
  (0.002) (0.003) (0.004)
Married (d) 0.009 0.009 0.005
  (0.004) (0.005) (0.007)
Spouse working (d) -0.042 -0.050 -0.055
  (0.004) (0.005) (0.006)
Emp. health ins. (d) -0.001 -0.023 -0.066
  (0.005) (0.007) (0.010)
Gov. health ins. (d) 0.127 0.123 0.137
  (0.013) (0.014) (0.018)
Wealth 0.062 -0.013 0.078
  (0.023) (0.032) (0.041)
Pension (d) -0.079 -0.138 -0.197
  (0.009) (0.011) (0.013)
Very good health (d) 0.014 0.015 0.008
  (0.005) (0.006) (0.008)
Good health (d) 0.026 0.033 0.037
  (0.005) (0.006) (0.007)
Fair health (d) 0.076 0.089 0.109
  (0.010) (0.011) (0.012)
Poor health (d) 0.279 0.292 0.302
  (0.026) (0.025) (0.024)
Pseudo R-squared 0.239 0.214 0.175
Observations 21,856 21,856 21,856
  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