#### Explanatory power of detailed occupation dummies, 1979–2007

Women | Men | |||
---|---|---|---|---|

R-squared | Partial R-squared | R-squared | Partial R-squared | |

(1) | (2) | (3) | (4) | |

1979 | 0.355 | 0.294 | 0.370 | 0.206 |

1989 | 0.446 | 0.368 | 0.444 | 0.269 |

2000 | 0.418 | 0.340 | 0.424 | 0.273 |

2007 | 0.405 | 0.313 | 0.415 | 0.265 |

Change | ||||

1979–1989 | 0.092 | 0.075 | 0.075 | 0.063 |

1989–2000 | -0.029 | -0.028 | -0.020 | 0.005 |

2000–2007 | -0.012 | -0.027 | -0.009 | -0.008 |

**Note:** The R-squares are from cross-sectional OLS regressions of log hourly wages on the 250+ detailed occupation dummies, along with (in all cases) a quartic in age, and dummies for region of the country (using the four major Census regions), marital status, and race/ethnicity (using mutually exclusive categories of white non-Hispanic, black non-Hispanic, Hispanic any race, and other). The partial R-squares are calculated in the following way: the log hourly wage and each detailed occupation dummies are separately regressed on the remaining controls (the quartic in age and the dummies for region, marital status, and race/ethnicity). Using the residuals from these regressions, residual log hourly wages are regressed separately on the residuals from the occupation dummies regressions. The partial R-squares are the R-squares from these regressions.

**Source:** Authors' analysis of Current Population Survey Outgoing Rotation Group microdata