Table 5: Workplace Organization and Practices and Wage Dispersiona - NES 1996
Specificationsb |
(1) |
(2) |
(3) |
(3) |
(3) |
Manuf. |
Non Man. |
Workforce
Education Managers |
0.016 |
0.014 |
0.015 |
0.009 |
0.018 |
(0.016) |
(0.015) |
(0.015) |
(0.013) |
(0.025) | |
Education Ft-Lines |
-0.069** |
-0.062** |
-0.069** |
-0.060* |
-0.065 |
(0.031) |
(0.031) |
(0.030) |
(0.036) |
(0.043) | |
% Women |
0.474*** |
0.488*** |
0.473*** |
0.086 |
0.643*** |
(0.099) |
(0.105) |
(0.110) |
(0.132) |
(0.162) | |
% Minorities |
0.190** |
0.253*** |
0.247*** |
0.319*** |
0.199* |
(0.081) |
(0.078) |
(0.076) |
(0.077) |
(0.184) | |
% New Hired |
0.038 |
0.120 |
0.125 |
0.327** |
0.117 |
(0.127) |
(0.122) |
(0.121) |
(0.160) |
(0.184) | |
Union Dummy |
-0.154*** |
-0.110** |
-0.112** |
-0.003 |
-0.230*** |
(0.052) |
(0.051) |
(0.050) |
(0.056) |
(0.071) | |
% Managers |
-0.313 |
-0.261 |
-0.293 |
-0.175 |
-0.459* |
(0.204) |
(0.190) |
(0.190) |
(0.239) |
(0.280) | |
% Ft-Lines |
-0.110 |
0.066 |
0.064 |
-0.064 |
0.116 |
(0.117)) |
(0.108) |
(0.105) |
(0.192) |
(0.143) | |
Technology % Equipment < 1 yr |
0.031 |
0.105 |
0.062 |
0.105 |
0.144 |
(0.131) |
(0.139) |
(0.136) |
(0.209) |
(0.204) | |
% Equipment 5-10 yr |
0.009 |
0.079 |
0.058 |
-0.125 |
0.057 |
(0.094) |
(0.091) |
(0.091) |
(0.123) |
(0.155) | |
% Equipment > 11 yr |
0.048 |
0.025 |
0.012 |
-0.210* |
0.056 |
(0.113) |
(0.117) |
(0.117) |
(0.112) |
(0.196) | |
Capital Stock |
-0.017 |
-0.015 |
-0.012 |
-0.003 |
-0.002 |
$ value, in log |
(0.015) |
(0.014) |
(0.015) |
(0.018) |
(0.020) |
New Equipt |
-0.015 |
-0.022 |
-0.021 |
-0.028 |
-0.021 |
$ value, in log |
(0.018) |
(0.016) |
(0.016) |
(0.021) |
(0.022) |
Labor Cost |
0.032 |
0.000 |
-0.003 |
-0.037 |
0.024 |
$ value, in log |
(0.024) |
(0.023) |
(0.023) |
(0.028) |
(0.035) |
Other Costs |
0.029* |
0.039** |
0.039** |
0.023 |
0.039* |
$ value, in log |
(0.016) |
(0.016) |
(0.015) |
(0.021) |
(0.022) |
a-The dependent variable is the log of the ratio of average wages of managers and production
workers.
b-Also include industry and firm-size dummies. Standard errors computed using the White
correction. 1% significance level: ***. 5% significance level: **. 10% significance level: *.
26
More intriguing information
1. Evidence of coevolution in multi-objective evolutionary algorithms2. On the Real Exchange Rate Effects of Higher Electricity Prices in South Africa
3. Willingness-to-Pay for Energy Conservation and Free-Ridership on Subsidization – Evidence from Germany
4. The name is absent
5. Credit Markets and the Propagation of Monetary Policy Shocks
6. Applications of Evolutionary Economic Geography
7. Do the Largest Firms Grow the Fastest? The Case of U.S. Dairies
8. IMPROVING THE UNIVERSITY'S PERFORMANCE IN PUBLIC POLICY EDUCATION
9. The name is absent
10. Standards behaviours face to innovation of the entrepreneurships of Beira Interior