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Table 12 Heterogeneity by occupation

From: A new look at technical progress and early retirement

 

(1)

(2)

(3)

Dep. var.: Retired

Benchmark

Managers and professionals

Others

TFP growth

0.075

0.070

0.064

 

(0.010)

(0.024)

(0.013)

TFP growth squared

–0.015

–0.013

–0.012

 

(0.002)

(0.005)

(0.003)

Married (d)

0.009

0.010

0.007

 

(0.004)

(0.005)

(0.005)

Spouse working (d)

–0.042

–0.045

–0.035

 

(0.004)

(0.013)

(0.005)

Emp. health ins. (d)

–0.001

0.009

–0.007

 

(0.005)

(0.005)

(0.006)

Gov. health ins. (d)

0.127

0.069

0.149

 

(0.013)

(0.023)

(0.016)

Wealth

0.062

0.021

0.097

 

(0.023)

(0.020)

(0.035)

Pension (d)

–0.079

–0.069

–0.076

 

(0.009)

(0.020)

(0.009)

Very good health (d)

0.014

0.015

0.010

 

(0.005)

(0.006)

(0.007)

Good health (d)

0.026

0.030

0.019

 

(0.005)

(0.011)

(0.007)

Fair health (d)

0.076

0.067

0.073

 

(0.010)

(0.023)

(0.012)

Poor health (d)

0.279

0.225

0.288

 

(0.026)

(0.072)

(0.028)

Pseudo R-squared

0.239

0.216

0.260

Observations

21,856

7,310

14,519

  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