© Copyright 2002
by the Wyoming Department of Employment, Research & Planning
| Table 1: Average Quarterly Wages After Training Regressed on Demographic, Industry, Prior Wage, and Program Participation Measures, Fiscal Years 1999 (FY99) and 2000 (FY00) | ||
| FY99 Average Quarterly Wages Two Years after Training | FY00 Average Quarterly Wages One Year after Training | |
| b1 | b | |
| (S.E.)2 | (S.E.) | |
| Male3 | 790.285*** | 717.01*** |
| (58.545) | (31.927) | |
| Age | 124.872*** | 53.370*** |
| (19.506) | (7.011) | |
| Age-Squared | -1.951*** | -.792*** |
| (.285) | .091 | |
| Goods Producing Industry4 | 101.698* | 188.685*** |
| (72.383) | (37.800) | |
| Prior Wage | .871*** | .913*** |
| (.015) | (.007) | |
| WDTF5 Participant | 358.831* | 391.492** |
| (276.849) | (165.689) | |
| Constant | 28.232 | 295.926 |
| R-square | .243(n=35,373) | .337(n=27,581) |
| 1b is the statistical notation for an unstandardized regression coefficient. Unstandardized regression coefficients can be interpreted as increases or decreases in average quarterly wages (depending on a positive or negative sign) for a one-unit increase in the variable of interest. To illustrate, males in the WDTF FY99 group earn, on average, $790 more in average quarterly wages than females. | ||
| 2S.E. = standard error. | ||
| 3The effect of being male on subsequent average quarterly wages compared to being female. | ||
| 4The effect of working in a goods producing industry prior to training on subsequent average quarterly wages compared to working in a services producing industry. | ||
| 5WDTF = Workforce Development Training Fund. This variable represents the effect of participating in WDTF training on subsequent average quarterly wages compared to not participating in WDTF training. | ||
| *p < .10 (one-tailed). | ||
| **p < .05 (one-tailed). | ||
| ***p < .01 (one-tailed). | ||
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