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Table 5 Wage regressions

From: Using tools to distinguish general and occupation-specific skills

  Full sample Full sample Professional Sales, serv., and admin Blue collar
Non-white − .0353*** (.0069) − .0378*** (.0064) − .0017 (.0121) − .0336*** (.0068) − .0692*** (.0102)
Female − .2211*** (.0169) − .2197*** (.0169) − .2214*** (.0203) − .1771*** (.0179) − .1933*** (.0164)
Married .0945*** (.0075) .0943*** (.0074) .0773*** (.0125) .0842*** (.0094) .1229*** (.0064)
Age .0511*** (.0024) .0516*** (.0024) .0614*** (.0040) .0488*** (.0031) .0519*** (.0026)
Age squared − .0005*** (.0000) − .0005*** (.0000) − .0006*** (.0000) − .0005*** (.0000) − .0005*** (.0000)
High school .1161*** (.0109) .1166*** (.0105) .0277 (.0323) .0923*** (.0116) .1588*** (.0095)
Some college .1896*** (.0147) .1886*** (.0135) .1084*** (.0365) .1686*** (.0132) .2403*** (.0199)
College degree .4644*** (.0226) .4642*** (.0225) .4750*** (.0349) .3778*** (.0231) .3442*** (.0427)
Non-routine cogn. .0667*** (.0233) .0710*** (.0222) .1147* (.0624) .1174*** (.0237) .1280*** (.0185)
Non-routine manual − .0180 (.0286) − .0190 (.0292) − .1225** (.0575) − .0894** (.0438) − .0074 (.0171)
Routine cognitive .1029*** (.0222) .0906*** (.0216)  .1707*** (.0452) .0646*** (.0197) .0460*** (.0222)
Routine manual. −.0928** (.0367) −.0900*** (.0338) .0191 (.0797) −.1285*** (.0433) −.0090 (.0190)
Risk .1029*** (.0290) .0949*** (.0286) .0370 (.0445) .1834*** (.0365) .0657*** (.0179)
# Job-specific tools   .0387** (.0170) .0734** (.0288) .0406 (.0670) .0720** (.0331)
Specific squared   − .0002 (.0009) − .0011 (.0011) − .0038 (.0093) − .0101*** (.0029)
Total tools − .0020 (.0074) − .0181* (.0106) − .0268 (.0178) − .1082*** (.0363) − .0006 (.0139)
Total tools squared .0000 (.0001) − .0001 (.0004) .0000 (.0005) .0075*** (.0026) − .0002 (.0006)
Occupation indicators Yes Yes No No No
Observations 1,041,239 1,041,239 295,419 497,121 248,699
R-squared .326 .328 .285 .245 .210
  1. Dependent variable is natural log of earnings. Robust standard errors in parentheses. Constant not reported. Occupation indicators control for 10 major occupation groups. Tools measured in 10 tool increments
  2. *** p < .01, ** p < .05, * p < .1