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Table 13 Heterogeneity by sector

From: A new look at technical progress and early retirement

 

(1)

(2)

(3)

(4)

(5)

Dep. var.: Retired

Benchmark

Manufactg.

Prof. svcs.

P.A.

Rest

TFP growth

0.075

0.185

0.040

0.184

0.055

 

(0.010)

(0.055)

(0.024)

(0.046)

(0.015)

TFP growth squared

–0.015

–0.036

–0.005

–0.033

–0.015

 

(0.002)

(0.022)

(0.005)

(0.009)

(0.006)

Married (d)

0.009

0.017

0.000

0.032

0.005

 

(0.004)

(0.009)

(0.006)

(0.014)

(0.005)

Spouse working (d)

–0.042

–0.052

–0.031

–0.068

–0.037

 

(0.004)

(0.009)

(0.010)

(0.022)

(0.004)

Emp. health ins. (d)

–0.001

–0.014

0.000

0.003

0.003

 

(0.005)

(0.013)

(0.007)

(0.022)

(0.006)

Gov. health ins. (d)

0.127

0.226

0.060

0.059

0.124

 

(0.013)

(0.033)

(0.017)

(0.041)

(0.015)

Wealth

0.062

0.210

–0.019

0.305

0.038

 

(0.023)

(0.072)

(0.036)

(0.160)

(0.029)

Pension (d)

–0.079

–0.137

–0.062

–0.311

-0.041

 

(0.009)

(0.023)

(0.019)

(0.046)

(0.009)

Very good health (d)

0.014

0.023

0.011

–0.004

0.012

 

(0.005)

(0.014)

(0.008)

(0.015)

(0.006)

Good health (d)

0.026

0.033

0.025

0.021

0.019

 

(0.005)

(0.016)

(0.008)

(0.015)

(0.007)

Fair health (d)

0.076

0.081

0.076

0.062

0.075

 

(0.010)

(0.024)

(0.021)

(0.034)

(0.014)

Poor health (d)

0.279

0.213

0.159

0.331

0.322

 

(0.026)

(0.052)

(0.044)

(0.097)

(0.036)

Pseudo R-squared

0.239

0.273

0.167

0.280

0.253

Observations

21,856

5,612

3,034

1,685

11,389

  1. Notes: All models include race, foreign-born, geographical, education, occupation, age, and cohort dummies, as well as controls for the unemployment rate in the survey year and the sector experience. We leave sector dummies only in column (1), column (2), and column (5). 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 in column (1), column (2), and column (5), and at the wave level in column (3) and column (4). All models report the marginal effects of logit regressions