OLS results of wage equations comparing private sector versus state and local public sectors
Dependent variable: Log of income from wages
| Predictor | (1) | (2) | (3) | (4) |
|---|---|---|---|---|
| State and local | -0.1245*** | -0.1173*** | -0.1568*** | -0.1475*** |
| Female | -0.2863*** | -0.2851*** | -0.2847*** | -0.2832*** |
| Female * State and local | -0.0129 | -0.0169* | ||
| African American | -0.1649*** | -0.1650*** | -0.1774*** | -0.1777*** |
| Hispanic | -0.1228*** | -0.1226*** | -0.1301*** | -0.1299*** |
| Other race | -0.1407*** | -0.1407*** | -0.1405*** | -0.1405*** |
| African American * State and local | 0.1395*** | 0.1404*** | ||
| Hispanic * State and local | 0.1193*** | 0.1196*** | ||
| Other race * State and local | -0.0036 | -0.0037 | ||
| N | 121,943 | 121,943 | 121,943 | 121,943 |
| Adjusted R2 | 0.428 | 0.428 | 0.429 | 0.429 |
Notes: Reference categories are white, male, high school education. Other controls for all models include age, marriage status, full-time status, total work hours, Census region, citizenship, metropolitan location status, and firm size.
*Probability estimate 0 is >.1.
**Probability estimate 0 is >.05.
***Probability estimate 0 is >.01.
Source: Authors’ analysis of Current Population Survey Annual Social and Economic Supplement microdata, pooled years 2006 and 2007
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