Eric J Solberg
Biographic Data
| ID | 709565 |
|---|---|
| NAME | Eric J Solberg |
| GIVEN NAMES | Eric J |
| FAMILY NAME | Solberg |
| SIGNATURE | SOLBERG E J |
| AFFILIATIONS | H.B. Fuller (United States) |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1995 |
| LATEST PUBLICATION YEAR | 1999 |
| H-INDEX | 2 |
Using Occupational Preference in Estimating Market Wage Discrimination: The Case of the Gender Pay Gap
Past occupational preference is used to estimate the gender pay gap. The use of predetermined variables in a reduced-form wage equation avoids the bias caused by using variables that are correlated with the random error. Using a gender coefficient, the potential discriminatory gap is about 11.5 percent when past occupational preference is included. Decomposition yields an estimate of 10.5 percent when past occupational preference is included. In …
The Gender Pay Gap, Fringe Benefits, and Occupational Crowding
Using data from the 1991 National Longitudinal Survey of Youth, the authors estimate earnings equations for each of seven occupational categories and the aggregate sample. When fringe benefits are excluded from the compensation measure, a gender coefficient is statistically significant (that is, women are found to have received significantly lower compensation than men) within six of the seven occupational categories, the exception being the most…
The Gender Pay Gap, Fringe Benefits, and Occupational Crowding
Using data from the 1991 National Longitudinal Survey of Youth, the authors estimate earnings equations for each of seven occupational categories and the aggregate sample. When fringe benefits are excluded from the compensation measure, a gender coefficient is statistically significant (that is, women are found to have received significantly lower compensation than men) within six of the seven occupational categories, the exception being the most…
Using Occupational Preference in Estimating Market Wage Discrimination: The Case of the Gender Pay Gap
Past occupational preference is used to estimate the gender pay gap. The use of predetermined variables in a reduced-form wage equation avoids the bias caused by using variables that are correlated with the random error. Using a gender coefficient, the potential discriminatory gap is about 11.5 percent when past occupational preference is included. Decomposition yields an estimate of 10.5 percent when past occupational preference is included. In …
The Gender Pay Gap, Fringe Benefits, and Occupational Crowding
Using data from the 1991 National Longitudinal Survey of Youth, the authors estimate earnings equations for each of seven occupational categories and the aggregate sample. When fringe benefits are excluded from the compensation measure, a gender coefficient is statistically significant (that is, women are found to have received significantly lower compensation than men) within six of the seven occupational categories, the exception being the most…
Using Occupational Preference in Estimating Market Wage Discrimination: The Case of the Gender Pay Gap
Past occupational preference is used to estimate the gender pay gap. The use of predetermined variables in a reduced-form wage equation avoids the bias caused by using variables that are correlated with the random error. Using a gender coefficient, the potential discriminatory gap is about 11.5 percent when past occupational preference is included. Decomposition yields an estimate of 10.5 percent when past occupational preference is included. In …
Demographic economics (2 works) · Econometrics (2 works) · Economics (2 works) · Gender pay gap (2 works) · Labor market dynamics and wage inequality (2 works) · Labour economics (2 works) · Retirement, Disability, and Employment (2 works) · Wage (2 works) · Accounting (1 works) · Accounting (1 works)